| Wang Beibei Title: Research Professor, Ph.D. Supervisor Research directions: Power markets, optimal operation and dispatch of power systems, smart electricity consumption, and operational control for renewable energy integration. Email: wangbeibei@seu.edu.cn office phone: 13813800784 |
Biography：
Professor Wangserves as Deputy Director of the Institute of Power Economics and Technology, School of Electrical Engineering, Southeast University. From 2003 to 2004, she worked as a Power Dispatching Automation Software Development Engineer at the Power Grid Branch of the State Grid Electric Power Research Institute (NARI Group). From 2012 to 2013, she was a Visiting Scholar in the Department of Environmental Health and Engineering at Johns Hopkins University, USA. She has been selected for the Jiangsu Province “Six Talent Peaks” Program and is an IEEE Senior Member. She is also among the first group of experts appointed to the Jiangsu Provincial Electricity Market Management Committee, and serves as a member of the Power Market Committee of the Chinese Society for Electrical Engineering and the Special Committee on Power Sensing and Intelligent Analysis of the China Energy Research Society. In addition, she is a Young Editorial Board Member of Power System Technology, and serves on the editorial boards of IET Energy Conversion and Economics, Electric Power, Global Energy Interconnection, and Power Demand Side Management.
In recent years, she has undertaken nearly 80 provincial- and ministerial-level research projects, including serving as principal investigator for two projects funded by the National Natural Science Foundation of China, one project funded by the Ministry of Education in the humanities and social sciences, participating in four National Key R&D Program projects, and one Jiangsu Provincial Key R&D Program project. She has had more than 120 papers accepted or published in leading domestic and international journals, including IEEE Transactions on Power Systems, with more than 40 papers indexed by SCI and nearly 2,800 citations. Three of her papers were selected as F5000 Top Articles in China’s High-Quality Scientific and Technological Journals, and she has been consecutively listed in Stanford University’s World’s Top 2% Scientists list since 2021.
She has also participated in the compilation of theEncyclopedia of China and theEncyclopedia of Electric Power in China. As a principal drafter, she contributed to the development of the national standard “Guidelines for Monitoring Demand Response Performance and Evaluating Comprehensive Benefits” as well as related IEEE standards. Since 2013, she has been teaching for more than a decade on the demand-side management training platform organized by the National Development and Reform Commission.
Publications：
(1) Publications (SCI and EI, 2013–2025)
"Decentralized Voltage Prediction in Multi-Area Distribution Systems: A Privacy-Preserving Collaborative Framework," in IEEE Access, vol. 13, pp. 92305-92318, 2025.
DERs participation in TSO-DSO coordinated operation considering dynamic reconfiguration of distribution networks[J]. International Journal of Electrical Power & Energy Systems, 2025, 173: 111407.
Annual production constrained daily optimization for energy-intensive users incorporating dynamic carbon pricing and fair carbon responsibility allocation[J]. Electric Power Systems Research, 2026, 253: 112514.
A privacy-preserving scheme for charging reservations and subsequent deviation settlements for electric vehicles based on a consortium blockchain[J]. World Electric Vehicle Journal, 2025, 16(5): 243.
Market zone configuration under collusive bidding among the conventional generators and renewable energy sources in the day-ahead electricity market[J]. Electric Power Systems Research, 2024, 232: 110373.
A long-term congestion management framework through market zone configuration considering collusive bidding in joint spot markets[J]. IEEE Transactions on Power Systems, 2024.
Honesty Verification Approach to Address Dishonest Bidding Behavior in Blockchain-Based P2P Electricity Trading[J]. IEEE Open Access Journal of Power and Energy, 2024.
Ex-ante market power evaluation and mitigation in day-ahead electricity market considering market maturity levels[J]. Energy, 2023, 278: 127777.
Peer-to-peer electricity trading considering voltage-constrained adjustment and loss allocation in blockchain-enabled distribution network[J]. International Journal of Electrical Power & Energy Systems, 2023, 152: 109204.
Constraint-based interactive approach for equilibrium of interdependent gas and electricity markets. Applied Energy, 2023, 335: 120704.
A method for power flow calculation and optimal dispatch of gas–thermal–electricity multi energy system considering unit commitment[J]. Energy Reports, 2023, 9: 718-727.
A privacy-preserving trading strategy for blockchain-based P2P electricity transactions. Applied Energy, 2023, 335: 120664.
Online topology‐based voltage regulation: A computational performance enhanced algorithm based on deep reinforcement learning. IET Generation, Transmission & Distribution, 2022, 16.24: 4879-4892.
LIN, Xueshan, et al. A review of market power‐mitigation mechanisms in electricity markets. Energy Conversion and Economics, 2022, 3.5: 304-318.
Nash Equilibrium to Competitive Equilibrium Mechanisms Design: Subsidization and Punishment. IEEE Access, 2021, 9: 63219-63228.
Distribution network reconfiguration based on noisynet deep q-learning network. IEEE Access, 2021, 9: 90358-90365.
Three-phase DLMP model based on linearized power flow for distribution with application to DER benefit studies. International Journal of Electrical Power & Energy Systems, 2021, 130: 106884.
Design of a privacy-preserving decentralized energy trading scheme in blockchain network environment. International Journal of Electrical Power & Energy Systems, 2021, 125: 106465.
Quantitative model of the electricity-shifting curve in an energy hub based on aggregated utility curve of multi-energy demands. IEEE Transactions on Smart Grid, 2020, 12.2: 1329-1345.
Optimal energy-hub planning based on dimension reduction and variable-sized unimodal searching. IEEE Transactions on Smart Grid, 2020, 12.2: 1481-1495.
Incremental Cost Consensus Algorithm for On/Off Loads to Enhance the Frequency Response of the Power System. IEEE Access, 2020, 8: 67687-67697.
Transnational power‐transaction model considering transaction costs under the support of consortium blockchain. Energy Conversion and Economics, 2020, 1.3: 251-263.
Battery energy storage system based on incremental cost consensus algorithm for the frequency control. IEEE Access, 2019, 7: 147362-147372.
A Model for Multi-Energy Demand Response with Its Application in Optimal TOU Price[J]. Energies, 2019, 12(6):1-18.
Optimal Bidding Strategy of Wind Farms Considering Local Demand Response Resources[J], IET Renewable Power Generation，2019,13(09) :1565 –1575.
Optimal configuration and sizing of regional energy service company's energy hub with integrated demand response[J].IEEJ Transactions on Electrical and Electronic Engineering,2018.14(3):383-393.
Consensus Control Strategy of an Inverter Air Conditioning Group for Renewable Energy Integration Based on the Demand Response[J]. IET Renewable Power Generation, 2018,14(12):1633~1639.
Research on the Blockchain-based Integrated Demand Response Resources Transaction Scheme[C]//2018 International Power Electronics Conference (IPEC-Niigata 2018 -ECCE Asia), Niigata, 2018: 795-802.
Integrated Energy Transaction Mechanisms Based on Block-chain Technology[J].Energies 2018, 11(9), 2412.
The research on the value of distributed resources based on the decomposition of distribution LMP(DLMP) [C]//2017 IEEE Conference on Energy Internet and Energy System Integration (EI2) ,IEEE,2017
Optimal configuration and sizing of regional energy service company's energy hub with integrated demand response[J].IEEJ Transactions on Electrical and Electronic Engineering,2018,14(3):383-393.
Day-Ahead Scheduling Considering Demand Response as a Frequency Control Resource[J]. Energies, 2017, 10(1):82.
Chance constrained unit commitment considering comprehensive modelling of demand response resources[J]. IET Renewable Power Generation, 2017, 11(4):490-500.
Demand response for frequency control of multi-area power system[J]. Journal of Modern Power Systems & Clean Energy, 2017, 5(1):20-29.
A Flexible Load Control Strategy for Distribution Network to Reduce the Line Losses and to Eliminate the Transmission Congestion[J]. Mathematical Problems in Engineering,2017,(2017-7-20), 2017, 2017(3):1-16.
A SYSTEM DYNAMICS ANALYSIS OF INCENTIVE MECHANISMS FOR DEMAND RESPONSE PROGRAMS IN CHINA[J]. Environmental Engineering & Management Journal, 2016.
Coupon-Based Demand Response Considering Wind Power Uncertainty: A Strategic Bidding Model for Load Serving Entities[J]. IEEE Transactions on Power Systems, 2016, 31(2):1025-1037.
Real-Time Markets for Flexiramp: A Stochastic Unit Commitment-Based Analysis[J]. IEEE Transactions on Power Systems, 2016, 31(2):846-860.
16.A Closed-Loop Control Strategy for Air Conditioning Loads to Participate in Demand Response[J]. Energies, 2015, 8(8):8650-8681.
Bi-Level Optimization for Available Transfer Capability Evaluation in Deregulated Electricity Market[J]. Energies, 2015, 8(12).
Provision of Supplementary Load Frequency Control via Aggregation of Air Conditioning Loads[J]. Energies, 2015, 8(12):14098-14117.
Unit Commitment Model Considering Flexible Scheduling of Demand Response for High Wind Integration[J]. Energies, 2015, 8(12):13688-13709.
Design of a hybrid hierarchical demand response control scheme for the frequency control[J]. IET Generation Transmission & Distribution, 2015, 9(15):2303-2310.
Optimal siting and sizing of demand response in a transmission constrained system with high wind penetration[J]. International Journal of Electrical Power & Energy Systems, 2015, 68:71-80.
A flexible ramping product: Can it help real-time dispatch markets approach the stochastic dispatch ideal?[J]. Electric Power Systems Research, 2014, 109(4):128-140.
Valuation Assessment of Power Data Assets: Research Framework and Prospects[J/OL]. Transactions of China Electrotechnical Society, 1–27 [2026-03-04]. DOI: 10.19595/j.cnki.1000-6753.tces.250205.
Research on a Personalized Cloud–Edge Collaborative Method with Computational Task Sharing to Support Single-User Probabilistic Load Forecasting[J/OL]. Power System Technology, 1–20 [2026-03-04]. DOI: 10.13335/j.1000-3673.pst.2025.1525.
Integrated Demand Response Profiling and Response Capability Evaluation Under Heterogeneous Data Conditions[J]. Automation of Electric Power Systems, 2026, 50(01): 178–187.
Dong Xinyue, Chen Ying, Zeng Dan, et al. Research on the Portfolio Strategy of Electricity Retailers in a Single-Sided Open Market Considering Financial Transmission Right Revenues[J].Distribution & Utilization, 2025, 42(05): 100–108. DOI: 10.19421/j.cnki.1006-6357.2025.05.011.
Aggregation Node Models for Distributed Energy Resources Participating in the North American Wholesale Market and Their Implications for China[J]. Electric Power Automation Equipment, 2026, 46(02): 156–168. DOI: 10.16081/j.epae.202508011.
Analysis of Bidding Behavior Characteristics on Both the Buying and Selling Sides in the Interprovincial Electricity Spot Market Based on Big Data and K-means Clustering[J]. Power Demand Side Management, 2025, 27(04): 111–118.
Application Analysis and Prospects of Zero-Knowledge Proofs in New-Type Power Systems[J]. Proceedings of the CSEE, 2024, 44(S1): 114–130. DOI: 10.13334/j.0258-8013.pcsee.240006.
Capacity Value Contribution of Energy Storage to Power Systems with High Shares of Renewable Energy and Mechanism Insights[J]. Power System Technology, 2024, 48(06): 2520–2531. DOI: 10.13335/j.1000-3673.pst.2023.2076.
Research on the Portfolio Strategy of Electricity Retailers in a Single-Sided Open Market Considering Financial Transmission Right Revenues[J]. Distribution & Utilization, 2025, 42(05): 100–108. DOI: 10.19421/j.cnki.1006-6357.2025.05.011.
A Carbon Footprint Tracking Method for Interprovincial Spot Transactions Under a Unified Electricity Market[J]. Proceedings of the CSU-EPSA, 2024, 36(12): 66–73. DOI: 10.19635/j.cnki.csu-epsa.001422.
Bidding Sample Augmentation and Market Power Identification Technology for Provincial Spot Markets Toward Hybrid Augmented Intelligence[J]. Global Energy Interconnection, 2025, 8(01): 110–123. DOI: 10.19705/j.cnki.issn2096-5125.2025.01.012.
A Valuation Method for Transmission Sections in Provincial Power Grids Considering Both Intra-Provincial and Interprovincial Transactions in a Market Environment[J]. Power Demand Side Management, 2025, 27(03): 94–100.
A Multi-Resource Unified Dispatch Framework for Provincial Balancing Entities Oriented Toward Energy Security[J/OL]. Electric Power Automation Equipment, 2025, (01): 184–191, 216 [2025-01-06]. DOI: 10.16081/j.epae.202409005.
Demand Curve Design of North American Capacity Markets and Its Implications for China[J/OL]. Electric Power Automation Equipment, 2023, (05): 1–12 [2023-05-15]. DOI: 10.16081/j.epae.202303041.
Multi-Agent Deep Double Q-Network-Based Simulation of Collusive Behavior Among Integrated Generation-Retailing Group Members Considering Mild Altruistic Utility[J]. Proceedings of the CSEE, 2023, 43(07): 2640–2652.
An Electricity–Carbon Market Clearing Model Considering Dynamic Carbon Trading Curves and an Analysis of the Formation Mechanism of Locational Marginal Prices[J]. Power System Technology, 2023, 47(02): 613–624.
A Federated Learning-Based Forecasting Framework for Industrial Electricity Loads Under Smart Meter Data Privacy Protection[J/OL]. Automation of Electric Power Systems: 1–8 [2023-05-15].
Interactive Simulation of Distributed Electricity Trading and Distribution Network Operation Considering Dynamic Wheeling Charges[J/OL]. Automation of Electric Power Systems: 1–14 [2023-06-04].
Research on Multi-Agent Free Collusion Bidding Mechanisms Based on a Two-Stage Deep Reinforcement Learning Algorithm[J]. Proceedings of the CSEE, 2024, 44(12): 4626–4639. DOI: 10.13334/j.0258-8013.pcsee.222935.
Reflections on Market-Oriented Charging for Public Distribution Networks Under High-Penetration Distributed Generation Integration[J/OL]. Transactions of China Electrotechnical Society: 1–18 [2023-05-14]. DOI: 10.19595/j.cnki.1000-6753.tces.221174.
Research on Online Topology Optimization Strategies for Distribution Networks Based on Deep Reinforcement Learning[J]. Power Demand Side Management, 2022, 24(3): 9–14.
Analysis of Overseas Energy Transition Strategies and Electricity Pricing Systems Under a Low-Carbon Background and Their Implications for China[J]. Power Demand Side Management, 2022, 24(01): 111–116.
Research on Orderly Electricity Consumption Dispatch Strategies Based on an Inner-Box Approximation Model[J]. Power Demand Side Management, 2022, 24(05): 84–89.
A Flexible Ramping Product Trading Mechanism Adapted to Hydropower Participation[J]. Zhejiang Electric Power, 2022, 41(08): 17–24.
Research on the Development Path of Jiangsu’s Electricity Market Toward a New-Type Power System[J]. Guangdong Electric Power, 2022, 35(3): 1–10.
Research on Coordinated Strategies for a Shared Distributed PV-Storage Hybrid Operation Mode Considering Overselling[J]. Transactions of China Electrotechnical Society, 2022, 37(07): 1836–1846.
Analysis and Reflections on the Participation of Renewable Energy and Demand Response in Capacity Markets in the UK and the US Considering Credibility[J]. Power System Technology, 2022, 46(04): 1233–1247.
Research on Balancing Strategies for Power Grids with High Shares of Renewable Energy Considering Ramping Scenario Coverage[J]. Transactions of China Electrotechnical Society, 2022, 37(13): 3275–3288.
Distributionally Robust Modeling of Demand Response and a Large-Scale Potential Simulation Method[J]. Automation of Electric Power Systems, 2022, 46(03): 33–41.
Research on a Bi-Level Distributed Optimal Dispatch Method for Highly Resilient Multi-Energy Integrated Distribution Networks Under the Energy Internet Background[J]. Transactions of China Electrotechnical Society, 2022, 37(01): 208–219. DOI: 10.19595/j.cnki.1000-6753.tces.201390.
Cross-Border Electricity Trade Patterns and Construction Sequencing of Countries Along the Belt and Road[J]. Global Energy Interconnection, 2021, 4(1): 77–85. DOI: 10.19705/j.cnki.issn2096-5125.2021.01.010.
Research on Green Certificate Market Trading Based on Sequential Simulation of Renewable Energy Economic Dispatch[J]. Smart Power, 2021, 49(4): 58–65. DOI: 10.3969/j.issn.1673-7598.2021.04.010.
Research on a P2P Blockchain Trading Mechanism for Distributed Resources Guided by Distribution Network Security[J]. Electric Power Automation Equipment, 2021, 41(09): 215–223. DOI: 10.16081/j.epae.202109045.
Research on Congestion Cost Allocation for River-Crossing Transmission Sections in Large Receiving-End Power Grids Based on the Fairest Minimum Core Method[J]. Electric Power Automation Equipment, 2021, 41(2): 172–178.
Shared Value of Distributed Photovoltaics and System Dynamics Simulation of Their Impacts on Distribution Networks[J]. Automation of Electric Power Systems, 2021, 45(18): 35–44.
A Credit-Based Trading Mechanism for Demand Response Resources in a Blockchain Environment[J]. Automation of Electric Power Systems, 2021, 45(05): 30–38.
Research on a Dynamic-Tariff-Based Sharing Mode for Distributed PV-Storage Systems Considering Revenue Fairness[J]. Power System Technology, 2021, 45(06): 2228–2237. DOI: 10.13335/j.1000-3673.pst.2020.1099.
Three-Segment Bidding Strategies of Generation Companies Based on Deep Double Q-Networks Under Incomplete Information[J]. Electric Power, 2021, 54(11): 47–58.
Strategic Investment and Business Models of Centralized Large-Scale Data Centers Under the New Power Sector Reform[J]. Electric Power, 2021, 54(11): 37–46.
Multi-Scenario Static Voltage Security Analysis of Active Distribution Networks Based on Extreme Learning Machines[J]. Electric Power Construction, 2021, 42(8): 18–28. DOI: 10.12204/j.issn.1000-7229.2021.08.003.
An Online Voltage Control Method for Distribution Networks Based on Network Topology Resources and Its Solution via Transfer Reinforcement Learning[J]. Proceedings of the CSEE, 2020, 40(22): 7317–7328. DOI: 10.13334/j.0258-8013.pcsee.191561.
Research on the Design of Joint Energy and Ancillary Service Market Operation for Large Receiving-End Power Grids Based on Equilibrium Analysis[J]. Proceedings of the CSEE, 2020, 40(13): 4162–4175. DOI: 10.13334/j.0258-8013.pcsee.190230.
Mechanism Analysis of Marginal Cost Components of Flexibility Resources in Renewable-Dominated Power Systems Based on Two-Stage Stochastic Optimization Modeling[J]. Proceedings of the CSEE, 2021, 41(04): 1348–1359+1541. DOI: 10.13334/j.0258-8013.pcsee.191885.
Extension and Reflections on Smart Energy Integrated Service Businesses Based on “Internet Plus”[J]. Automation of Electric Power Systems, 2020, 44(12): 1–12.
Mechanism Analysis of Congestion in Receiving-End Power Grids for Cross-Regional Renewable Energy Consumption[J]. Electric Power Construction, 2020, 41(2): 21–29.
Research on the Influence of Electricity Market Information Disclosure Levels on Market Participants’ Trading Behavior Based on Reinforcement Learning[J]. Smart Power, 2020, 48(2): 109–118. DOI: 10.3969/j.issn.1673-7598.2020.02.017.
System Dynamics Simulation of Renewable Electricity Trading Under a Quota System[J]. Global Energy Interconnection, 2020, 3(5): 497–507. DOI: 10.19705/j.cnki.issn2096-5125.2020.05.009.
Research on Two-Stage Optimal Dispatch of Renewable Power Systems Considering Demand Response Virtual Power Plants[J]. Power Demand Side Management, 2020, 22(1): 41–47. DOI: 10.3969/j.issn.1009-1831.2020.01.009.
A Bi-Level Optimal Planning Model for Regional Integrated Energy Systems Considering Uncertainty[J]. Electric Power Automation Equipment, 2019, 39(08): 176–185.
A Decentralized Coordinated Control Strategy for Large-Scale Air-Conditioning Loads Participating in Peak Shaving Under a Hierarchical Control Architecture[J]. Proceedings of the CSEE, 2019, 39(12): 3514–3527.
Key Technologies for Distributed Energy Trading Based on Blockchain[J]. Automation of Electric Power Systems, 2019, 43(14): 53–64.
Status Analysis and Reflections on Market-Based Acquisition Mechanisms for Grid Flexible Ramping Capability Under High Renewable Penetration[J]. Power System Technology, 2019, 43(8): 2691–2701.
Analysis of Investment Strategies for Incremental Distribution Networks After the Implementation of Guaranteed Service by Grid Companies[J]. Automation of Electric Power Systems, 2018, 42(20): 38–44.
Solving Electricity Market Equilibrium Based on a Bi-Level Particle Swarm Optimization Algorithm[J]. Power System Technology, 2018, 42(04): 1170–1177.
Analysis of Incentive Mechanisms for Distributed Renewable Energy Based on System Dynamics[J]. Automation of Electric Power Systems, 2017, 41(24): 97–104.
A Multi-Time-Scale Source-Load Interaction Decision-Making Method Considering Demand Response Uncertainty[J]. Automation of Electric Power Systems, 2018, 42(02): 106–113+159.
A Hybrid Stochastic and Adjustable Robust Day-Ahead Dispatch Model for Wind Power Accommodation with Demand Response Participation[J]. Proceedings of the CSEE, 2017, 37(21): 6339–6346.
A Rolling Revision Model for Multi-Time-Scale Reserve Capacity in Power Systems with Large-Scale Wind Power Integration[J]. Proceedings of the CSEE, 2017, 37(06): 1645–1657.
Modeling of Load Reduction Potential for Central Air Conditioning and Analysis of Influencing Factors[J]. Automation of Electric Power Systems, 2016, 40(19): 44–52.
Analysis and Reflections on Key Smart Electricity Utilization Technologies for Renewable Energy Accommodation[J]. Power System Technology, 2016, 40(12): 3894–3903.
A Rolling Dispatch Model Considering Large-Scale Wind Power Integration and Coordinated Optimization of Multi-Time-Scale Demand Response Resources[J]. Proceedings of the CSEE, 2016, 36(17): 4589–4600.
Prospects and Reflections on Flexible and Interactive Smart Electricity Utilization[J]. Automation of Electric Power Systems, 2015, 39(17): 2–9.
Application of Uncertain Demand Response Modeling in Electricity-Points-Based Incentive Decision-Making[J]. Automation of Electric Power Systems, 2015, 39(10): 93–99+150.
Coordinated Optimization of Interruptible Load Participation in System Reserve Allocation Considering Response Uncertainty[J]. Electric Power Automation Equipment, 2015, 35(11): 82–89.
System Dynamics Analysis of Demand Response Potential and Effectiveness from a Medium- and Long-Term Perspective[J]. Proceedings of the CSEE, 2015, 35(24): 6368–6377.
A Stochastic Unit Commitment Model for Large-Scale Wind Power Accommodation Considering Demand-Side Resources[J]. Proceedings of the CSEE, 2015, 35(14): 3714–3723.
Application of System Dynamics in Comprehensive Benefit Evaluation of Demand Response[J]. Automation of Electric Power Systems, 2014, 38(13): 128–134.
A Unit Commitment and Economic Dispatch Model for Large-Scale Wind Power Accommodation Based on Real-Time Pricing[J]. Power System Technology, 2014, 38(11): 2955–2963.
A Day-Ahead Dispatch Planning Model Considering Uncertain Demand Response[J]. Power System Technology, 2014, 38(10): 2708–2714.
Key Technologies of Demand Response Under Smart Grid Conditions[J]. Proceedings of the CSEE, 2014, 34(22): 3576–3589.
Modeling of Demand Response Virtual Power Plants Considering Uncertainty[J]. Proceedings of the CSEE, 2014, 34(22): 3630–3637.
A Review of User Demand Response Characteristics and Capability Research for Smart Grids[J]. Proceedings of the CSEE, 2014, 34(22): 3654–3663.
Design of a Demand Response Incentive Mechanism Based on Electricity Credits[J]. Automation of Electric Power Systems, 2013, 37(18): 82–87.
Research on Day-Ahead Dispatch and Operation Simulation of Power Systems with Large-Scale Wind Power Integration Considering User-Side Interaction[J]. Proceedings of the CSEE, 2013, 33(22): 35–44+8.
A Day-Ahead Generation Dispatch Planning Model Considering User-Side Interaction Under Smart Grids[J]. Proceedings of the CSEE, 2013, 33(01): 30–38.
(2) Patents (2020–2024)
A Calculation Method and Device for Guiding Distribution Networks to Charge Users Participating in Peer-to-Peer (P2P) Trading. Patent No.202110737645.3,May 24, 2024.
State Grid Jiangsu Electric Power Co., Ltd., Nanjing Power Supply Branch. A Multi-Element Voltage Regulation Method, Device, and Storage Medium for the Load Side of Active Distribution Networks. Patent No.202210117679.7,June 11, 2024.
A Multi-Element Voltage Regulation Method, Device, and Storage Medium for the Load Side of Active Distribution Networks. Patent No.202210117679.7,June 11, 2024.
A Method for Analyzing the Characteristics of Cross-Border Electricity Trading Markets Based on Complex Network Theory. Patent No.201811469614.9,June 16, 2023.
A Method and System for Optimal Dispatch of Distributed Energy Resources in a Blockchain Environment. Patent No.202010683886.X,July 7, 2023.
A Method and Device for Equipment Capacity Planning of Integrated Energy Systems. Patent No.202010064525.7,April 28, 2023.
A Method and System for Distribution Network Congestion Management Based on Blockchain. Patent No.202010683826.8,August 4, 2023.
A Voltage Optimization and Regulation Method for Distribution Networks Based on Network Topology Optimization Control. Patent No.201911408157.7,July 15, 2022.
A Congestion Cost Allocation Method Based on an Improved Shapley Value. Patent No.201911263040.4,September 16, 2022.
A Method for Optimal Decomposition of Contract Energy Considering Carbon Emissions. Patent No.201911211716.5,June 7, 2022.
A Charging and Discharging Control Method, Apparatus, Device, and Storage Medium for Electric Vehicles. Patent No.202110737652.3,July 5, 2022.
A Method and System for Determining the Proportion of Renewable Energy Integrated into the Power Grid. Patent No.202110643236.7,June 14, 2022.
An SCUC-Based Optimal Dispatch Method, Device, and Storage Medium for Coupled Gas-Heat-Power Systems. Patent No.202011125210.5,October 25, 2022.
A Topology-Based Voltage Regulation Method for Distribution Networks Based on Deep Reinforcement Learning. Patent No.202110511579.8,July 19, 2022.
A Modeling Method for Air-Conditioning Load Aggregations Based on Deep Belief Networks. Patent No.202110502173.3,May 17, 2022.
A Congestion Management Method, System, and Device for Receiving-End Power Grids. Patent No.202011361163.4,September 16, 2022.
An Optimization Method and System for Coordinated Operation of Wind Power and Energy Storage Considering Energy Storage Lifetime and Frequency Regulation Performance. Patent No.202010000808.5,May 11, 2021.
A Planning Method for Energy Hubs Incorporating Integrated Demand Response Resources. Patent No.201711096560.1,August 10, 2021.
A Method for Analyzing the Economic Value of Distributed Resources Based on Nodal Electricity Price Decomposition in Distribution Networks. Patent No.201711096132.9,June 11, 2021.
A Joint Bidding Equilibrium Method and System for Electricity and Reserve Markets Based on Multi-Agent Systems. Patent No.201811208382.1,November 19, 2021.
A Quantitative Analysis Method for the Impact of External Power Imports on Ancillary Services in Receiving-End Power Grids. Patent No.201810479058.7,August 24, 2021.
A Day-Ahead Unit Commitment Optimal Dispatch Method Considering Primary Frequency Regulation Performance. Patent No.201810072914.7,September 7, 2021.
A Comprehensive Evaluation Method for Incremental Distribution Networks Oriented to Guaranteed Service of Power Grid Companies. Patent No.201711143428.1,October 30, 2020.
A Congestion Forecasting Method and Device for Receiving-End Power Grids with High-Proportion Renewable Energy Interregional Integration and Consumption. Patent No.201910612650.4,September 29, 2020.
A Method for Calculating Ancillary Service Costs Caused by External Power Sources. Patent No.201810320124.6,December 10, 2019.
A Consensus Control Method for Variable-Frequency Air-Conditioning Load Aggregations. Patent No.201710243572.6,March 26, 2019.
A Control Strategy for Air-Conditioning Load Aggregations to Maintain State Diversity. Patent No.201710040380.5,May 28, 2019.
Research：
National-Level Projects
Subproject of the National High-Tech R&D Program (863 Program), Ministry of Science and Technology:
Analysis of power users’ demand response characteristics and intelligent demand-side electricity utilization dispatch, 2015–2017, Subproject Leader.Subproject of the National High-Tech R&D Program (863 Program), Ministry of Science and Technology:
Research on user load characteristics and demand response mechanisms, 2012–2014, Subproject Leader.General Project of the National Natural Science Foundation of China:
Research on the potential assessment, benefit simulation, and mechanism design of cross-border electricity trade between China and countries along the Belt and Road, 2019–2022, Participant.General Project of the National Natural Science Foundation of China:
Research on dispatch models and mechanisms for flexible demand response participation in large-scale wind power integration, 2015–2017, Principal Investigator.General Project of the National Natural Science Foundation of China:
Research on a comprehensive economic evaluation system and incentive mechanism design for demand response resources in smart grids, 2011–2013, Principal Investigator.Ministry of Education Humanities and Social Sciences Research Project: Research on deep mining methods for the value of electricity data for evaluating socioeconomic development under multiple scenarios, 2021–2023, Principal Investigator.
National Major Science and Technology Special Project for Smart Grids: High-performance optimization and computing technologies for simulation and scenario analysis of the national unified electricity market,2025–2029,Subproject Leader.
National Key R&D Program of China, “Science and Technology Winter Olympics” Key Special Project: Research and demonstration of key technologies for the highly reliable supply of 100% clean electricity in the Winter Olympics competition zones,2020–2022,Subproject Leader.
Industry-Commissioned Projects
Science and Technology Project:Research on hierarchical aggregation response and long-term commercial operation models for load-side flexible resources under the background of new-type power systems, 2025–2026, Principal Investigator.
Jiangsu Provincial Key R&D Program:Research and development of key autonomous and controllable blockchain technologies and systems for a unified electricity market, 2022–2025, Principal Investigator.
Science and Technology Project:Research on key technologies for the provincial inertia ancillary service market under high renewable energy penetration, 2024–2025, Principal Investigator.
Science and Technology Project:Research service on planning methods for key transmission sections of the Jiangsu power grid under the spot market environment, 2024–2025, Principal Investigator.
Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd.:Research on electricity spot market mechanisms and operational performance evaluation technologies to incentivize the participation of new entities such as independent energy storage, 2024–2025, Principal Investigator.
Nanjing Branch of China Electric Power Research Institute Co., Ltd.: Investigation and analysis of energy storage business models and market mechanisms, 2024–2025, Principal Investigator.
Jiangsu Fangtian Electric Power Technology Co., Ltd.: Research on orderly power consumption strategies and development of key modules, 2024–2025, Principal Investigator.
Science and Technology Project:Research on the impact of bid price caps in the interprovincial electricity spot market based on big data, 2024–2025, Subproject Leader.
Science and Technology Project: Research on simulation technologies for the coordinated operation of provincial energy and frequency regulation markets, 2024–2025, Subproject Leader.
Science and Technology Project: Research and application of evaluation technologies for renewable energy accommodation capability under high renewable penetration considering market transactions, 2024–2025, Subproject Leader.
Nanjing Branch of China Electric Power Research Institute Co., Ltd.: Investigation and analysis services for flexible ramping mechanisms and technologies, 2024, Principal Investigator.
Science and Technology Project:Research on market mechanisms and key technologies for a trustworthy medium- and long-term regulating capacity market with the participation of multiple entities such as renewable energy, 2023–2025, Subproject Leader.
Science and Technology Project: Research on intelligent scenario construction technologies for provincial day-ahead energy market simulation covering extreme conditions, 2023–2024, Subproject Leader.
Science and Technology Project:Research on market mechanisms and key technologies for the provincial financial transmission rights market under a unified pricing model on the load side, 2023–2024, Subproject Leader.
Science and Technology Project:Research on demand-side flexible resource profiling and aggregation technologies based on multi-source data fusion, 2023–2024, Subproject Leader.
Guangxi Power Grid Co., Ltd.:Technical development of enterprise-oriented energy matchmaking trading technologies and simulation for the electricity–carbon coupled market, 2022–2024, Principal Investigator.
Science and Technology Project: Research and application of data-center resource optimization and regulation technologies for green electricity consumption and economic operation, 2022–2024, Principal Investigator.
Science and Technology Project:Research and application of key technologies for pre-evaluation and post-evaluation of renewable energy accommodation at national, regional, and provincial levels, 2022–2024, Subproject Leader.
Jiaxing Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd.:Research on power balancing mechanisms and strategies for the Zhejiang power grid under carbon peak targets, 2022–2023, Principal Investigator.
Science and Technology Project: Research and development of market mechanisms and key technologies for centralized energy storage participating in the electricity spot market, 2022–2023, Subproject Leader.
Science and Technology Project:Research on capacity market design and clearing technologies for new-type power systems, 2022–2023, Subproject Leader.
Economic Research Institute of State Grid Jiangsu Electric Power Co., Ltd.: Research services on resource adequacy of power systems with a high proportion of clean energy, 2022, Principal Investigator.
Science and Technology Project:Research on continuous simulation technologies for provincial day-ahead energy markets at different development stages of high-renewable power systems, 2021–2023, Subproject Leader.
Zhejiang Electric Power Trading Center Co., Ltd.:Research on energy matchmaking trading and simulation technologies based on energy big data, 2021–2022, Principal Investigator.
State Grid Zhejiang Electric Power Co., Ltd.:Construction of a new-type electricity market framework for Zhejiang under the “3060” dual-carbon goals, 2021–2022, Principal Investigator.
Economic Research Institute of State Grid Zhejiang Electric Power Co., Ltd.:Research on load resource interaction evaluation technologies, 2021–2022, Principal Investigator.
Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd.:Research on technologies for flexible regulating resources participating in fast ramping and frequency regulation markets, 2021–2022, Principal Investigator.
Huzhou Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd.: Research on testing and evaluation technologies for electricity spot market clearing models, 2021–2022, Principal Investigator.
Nanjing Branch of China Electric Power Research Institute Co., Ltd.:Investigation and evaluation of domestic and international capacity mechanisms, 2021–2022, Principal Investigator.
Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd.:Research on a technical framework for market power identification and mitigation in provincial day-ahead energy markets, 2021–2022, Subproject Leader.
Science and Technology Project:Research on user trading strategies based on Jiangsu electricity market rules, 2021, Principal Investigator.
Economic Research Institute of State Grid Jiangsu Electric Power Co., Ltd.:Research on market participation mechanisms of various power sources and grid companies’ electricity purchasing strategies under the electricity market environment, 2021, Principal Investigator.
Economic Research Institute of State Grid Jiangsu Electric Power Co., Ltd.: Research services on electricity pricing systems for new-type power systems, 2021, Principal Investigator.
Headquarters Guiding Project of State Grid Corporation of China:
Research on deep reinforcement learning strategies for voltage control in active distribution networks under the background of ubiquitous power Internet of Things, 2020–2022, Principal Investigator.Headquarters Guiding Project of State Grid Corporation of China:
Research and development of optimization clearing technologies for provincial day-ahead electricity spot markets supporting two-sided bidding of generation and load, 2020–2021, Principal Investigator.Project of the East China Energy Regulatory Bureau / Power Trading Center:
Research on an interprovincial renewable energy consumption trading system based on system dynamics theory and blockchain technology, 2020–2021, Principal Investigator.Project of China Electric Power Research Institute:
Research and design of operating rules for the Shanxi electricity spot market, 2020–2021, Principal Investigator.Project of Jiangsu Fangtian Electric Power Technology Co., Ltd.:
Development of a simulation platform for electricity spot market operation considering the impact of electricity futures, 2019–2020, Principal Investigator.Headquarters Guiding Project of State Grid Corporation of China:
Research and application of simulation technologies for day-ahead electricity spot markets supporting the operation mode of “unified market, two-level operation,” 2019–2020, Principal Investigator.Headquarters Guiding Project of State Grid Corporation of China:
Research on the structure and development sequence of China’s cross-border electricity trade under the Belt and Road Initiative, 2018–2019, Principal Investigator.Headquarters Guiding Project of State Grid Corporation of China:
Research and development of a provincial electricity spot market operation simulation platform, 2018–2019, Principal Investigator.Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd.:
Technical services for comprehensive energy efficiency evaluation of the power grid in 2019, 2019–2020, Principal Investigator.Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd.:
Design of a distributed trading mechanism and platform for an electricity trading center based on blockchain, 2019–2020, Principal Investigator.Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd.:
Research on optimal allocation of ancillary service resources in large receiving-end power grids for interregional renewable energy consumption with a high proportion of renewables, 2018–2020, Principal Investigator.Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd.:
Coordinated allocation methods for multiple types of demand response resources participating in offshore wind power integration, 2018–2019, Principal Investigator.Headquarters Guiding Project of State Grid Corporation of China:
Research on flexible access and interactive service technologies for smart electricity utilization oriented to customer-side energy Internet, 2017–2018, Principal Investigator.Headquarters Guiding Project of State Grid Corporation of China:
Research and application of key technologies for flexible load participation in regional power grid dispatch, 2015–2017, Principal Investigator.Headquarters Guiding Project of State Grid Corporation of China:
Research on multi-spatiotemporal-scale demand response dispatch frameworks and key technologies in source–network–load interactive environments, 2013–2016, Principal Investigator.Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd.:
Operational strategies for the public-welfare guaranteed service of power grid companies under the new electricity reform environment, 2017, Principal Investigator.Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd.:
Research on strategies for enhancing the core competitiveness of key business sectors of the company under the new electricity reform environment in 2017, 2017, Principal Investigator.Science and Technology Project of Guangdong Electric Power Research Institute Energy Technology Co., Ltd.:
Research on mining integrated information from Guangdong power big data for analytical support, 2017–2018, Principal Investigator.Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd.:
Research on customer electricity-use characteristics by industry and the structure of power generation systems, 2016, Principal Investigator.Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd.:
Research on the impacts of the external environment on the company’s operating indicators such as electricity sales, 2016, Principal Investigator.Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd.:
Collection and interpretation of external environmental information for provincial company operations, 2015, Principal Investigator.
Teaching：
Undergraduate Course:
Senior Year: Introduction to Electricity Markets (taught in English)
Graduate Course:
Energy Management Systems and Security Monitoring
Graduates：
Currently supervising 6 Ph.D. students and 14 master’s students; 61 graduate students have completed their studies.
Main Career Destinations of Ph.D. Graduates:
Jinan University; Nanjing Institute of Technology; Hebei University of Technology; Jiangsu Electric Power Company
Main Career Destinations of Master’s Graduates:
Jiangsu Electric Power Company; Zhejiang Electric Power Company; Huawei; Tencent
