Modeling and Optimization Method for Wind-Solar-Thermal Power Coupling Participating in the Joint Energy Spot and Frequency Regulation Market
DOI:
https://doi.org/10.13052/spee1048-5236.4534Keywords:
Integrated energy collaborative system, spot-frequency regulation joint market, non-cooperative asymmetric game, renewable energy absorption, optimal trading strategyAbstract
To address the challenges of absorption difficulty and insufficient economy caused by the grid connection of high-proportion renewable energy, this paper constructs a non-cooperative asymmetric game model between a wind-PV-thermal integrated energy system and external independent power generation units participating in the spot and frequency regulation coordinated market under the framework of Liaoning Province’s frequency regulation market rules. Taking the profit maximization of each participant as the core objective, a joint clearing model that incorporates the costs, compensations, and constraints of both the spot and regulation service markets are established, and the Nash equilibrium is solved through the application of the strategy iteration algorithm. Case studies verify that through internal resource coordination, the integrated energy collaborative system significantly reduces marginal costs and frequency regulation quotes, effectively improves its own market revenue while promoting renewable energy absorption, providing an economical and reliable operation support for the new power system.
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Xiao Y P, Zhang L, Zhang X, et al. Coordination mechanism of spot energy and frequency regulation ancillary service market clearing with independent energy storage[J]. Proceedings of the Chinese Society for Electrical Engineering, 2020, 40(S1): 167–180. DOI:10.13334/j.0258-8013.pcsee.200977.
Bai Y X, Dai M R, Ji T Y, et al. Trading mechanism of spot energy and frequency regulation market considering new energy under the background of new power system[J/OL]. Southern Power System Technology, 2024: 1-11 [2025-05-13]. http://kns.cnki.net/kcms/detail/44.1643.TK.20241205.1003.006.html.
Li J C, Zhai W J, Dou X, et al. Research on joint clearing method of energy and frequency regulation market considering dynamic declaration of multi-type energy storage frequency regulation capacity[J]. Power System Technology, 2024, 48(07): 2833–2841. DOI:10.13335/j.1000-3673.pst.2023.2023.
Zhu J, Cai X, Yu Z, Liu L, Chen Y, Xue Y. A Declaration Strategy for Independent Energy Storage Considering the Coupling Relationship between Power Energy and Frequency Modulation[C]//2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE), Guangzhou, China, 2023: 1603–1607. DOI:10.1109/CEEPE58418.2023.10167366.
Wang X, Zhang Z, Liu C, Bian G. Analysis of Renewable Energy Absorption and Economic Feasibility in Multi-Energy Complementary Systems under Spot Market Conditions[J]. Energy Engineering, 2025, 122(2): 577–619. https://doi.org/10.32604/ee.2024.056748.
Wu Y, Wang J, Peng C, Chen C, Dai X, Wang J. Joint Energy and Frequency Regulation Market Clearing Considering Wind Power Uncertainty[C]//2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Chongqing, China, 2023: 1553–1558.
Li G Q, Yan K F, Fan G F, et al. Research on trading decision of energy storage participating in spot energy-frequency regulation ancillary service market[J]. Power System Protection and Control, 2022, 50(17): 45–54. DOI:10.19783/j.cnki.pspc.211500.
Zhang S, Chen Y L, Li Y Z, et al. Bi-level game model for bidding and clearing of grid-forming energy storage power station in frequency regulation ancillary service considering opportunity cost of electricity spot[J]. Proceedings of the Chinese Society for Electrical Engineering, 2024, 44(S1): 146–158. DOI:10.13334/j.02588013.pcsee.241233.
Wang P, Su Y, Zhou X, Jia N, Yue B, Wang L. Trading Decision for Electricity Quantity-Frequency Regulation Auxiliary Market Adapted to New Energy Storage Participation[C]//2024 IEEE 2nd International Conference on Power Science and Technology (ICPST), Dali, China, 2024: 2299-2306. DOI:10.1109/ICPST61417.2024.10601939.
Nguyen T A, Byrne R H, Concepcion R J, Gyuk I. Maximizing revenue from electrical energy storage in MISO energy & frequency regulation markets[C]//2017 IEEE Power & Energy Society General Meeting, Chicago, IL, USA, 2017: 1–5. DOI:10.1109/PESGM.2017.8274348.
Liu C, Chen X, Hua H, Yu K, Jiang Y, Yin M. Portfolio Strategy of Power Producer Considering Energy Storage in Spot Market, Ancillary Market and Option Market[C]//2022 IEEE International Conference on Energy Internet (ICEI), Stavanger, Norway, 2022: 13–18. DOI:10.1109/ICEI57064.2022.00008.
Koubar M, Lindberg O, Huang P, Munkhammar J. Economic estimations of a PV park combined with stationary battery storage operation on day-ahead and frequency regulation markets[C]//22nd Wind and Solar Integration Workshop (WIW 2023), Copenhagen, Denmark, 2023: 683–690. DOI:10.1049/icp.2023.2803.
Bian J, Song Y, Ding C, Cheng J, Li S, Li G. Optimal Bidding Strategy for PV and BESSs in Joint Energy and Frequency Regulation Markets Considering Carbon Reduction Benefits[J]. Journal of Modern Power Systems and Clean Energy, 2024, 12(2): 427–439. DOI:10.35833/MPCE.2023.000707.
Li Y, Wang L, Gu J, Huang X, Jin G. Optimal Energy Management Solution for Photovoltaic-Energy Storage System Participating in Energy-frequency Regulation Market[C]//2024 IEEE 2nd International Conference on Power Science and Technology (ICPST), Dali, China, 2024: 1700–1705. DOI:10.1109/ICPST61417.2024.10602327.
Wang Y, Hu G, Chen G, Zhao J, Sun Z, Yang Y. Study on Frequency Regulation Ancillary Service Trading Mechanisms for Distributed Photovoltaic[C]//2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Nanjing, China, 2020: 1–5. DOI:10.1109/APPEEC48164.2020.9220472.
Chen Y, Liu C, Bian G. Research on the Economics of Multi-Energy Complementary Systems and Renewable Energy Integration in Medium and Long-Term and Peak Shaving Markets[J]. Strategic Planning for Energy and the Environment, 2025, 44(02): 349–388. DOI: 10.13052/spee1048-5236.4424.
Wang J, Li Z, Li Q, Wang Y, Luo N. A Multi-objective Optimization Framework for Acceptance Capacity in Distribution Networks Under Coordinated Operation of Photovoltaic-Storage-Charging Systems[J]. Strategic Planning for Energy and the Environment, 2026, 45(01): 77–106. DOI:10.13052/spee1048-5236.4514.
Bai H, Li Q, Wen Y, Liu Y. Joint Coordination Control of Hybrid Energy Storage System in New Distribution Network[J]. Strategic Planning for Energy and the Environment, 2026, 45(02): 321–348. DOI:10.13052/spee1048-5236.4522.
Cheng M, Liu G, Meng J, Zhao J. Research on Optimal Operation Strategy of Distribution Network under Coordinated Dispatching of Flexible Load and Energy Storage[J]. Strategic Planning for Energy and the Environment, 2025, 44(03): 513–540. DOI:10.13052/spee1048-5236.4432.
Song G, Yan X, Li J, Liu T, Zhang Y. Electric Energy and Primary Frequency Response Joint Clearing Model Considering Energy Storage and Wind power[C]//2024 4th International Conference on Intelligent Power and Systems (ICIPS), Yichang, China, 2024: 1136–1140. DOI: 10.1109/ICIPS64173.2024.10900296.
Coban H H, Bajaj M, Rajagopalan A, Swaminathan D, Oubelaid A. Revenue Analysis of Cooperation of Battery Storage and Wind Power to Provide Frequency Regulation in the Energy Market[C]//2023 4th IEEE Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2023: 1–7. DOI:10.1109/GCAT59970.2023.10353451.
Anwar M, Wang C, de Nijs F, Wang H. Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets[C]//2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022: 1–5. DOI:10.1109/PESGM48719.2022.9917082.
Yang D, Zhang R, Liu C, Bian G. The Study of Long-Term Trading Revenue Distribution Models in Wind-Photovoltaic-Thermal Complementary Systems Based on the Improved Shapley Value Method[J]. Energy Engineering, 2025, 122(7): 26732694. https://doi.org/10.32604/ee.2025.062154.
Chen Q, Wu M X, Liu Y Q, et al. Joint operation mechanism of spot energy and ancillary service for market-oriented absorption of wind power[J]. Electric Power Automation Equipment, 2021, 41(03): 179–188. DOI:10.16081/j.epae.202101026.
Dai M, Ji T. Comparative Study on Sequential and Joint Clearing Models for Spot Electric Energy and Frequency Regulation Markets Considering a High Proportion of Renewable energy[C]//2024 Boao New Power System International Forum – Power System and New Energy Technology Innovation Forum (NPSIF), Qionghai, China, 2024: 941–946. DOI:10.1109/NPSIF64134.2024.10883154.
Wu L, Ma R, Ma W, Ma X. An Optimization Strategy for Electric Vehicle Aggregators to Participate in the Energy and Ancillary Services Market[C]//2024 5th International Symposium on New Energy and Electrical Technology (ISNEET), Hangzhou, China, 2024: 598–603. DOI:10.1109/ISNEET64164.2024.10956027.
Wu X, Zhang Q, Deng X, Huang Y, Li C. Day-ahead Bidding Strategy for Electric Vehicles and Wind Power Participating in Energy and Frequency Regulation Market[C]//2022 Power System and Green Energy Conference (PSGEC), Shanghai, China, 2022: 278–282. DOI:10.1109/PSGEC54663.2022.9880945.
Du Y, Yang X, Guo L, Yin S, Ai Q. Day-ahead Bidding Strategy for the Smartbuilding Virtual Power Plant Participating in Energy and Frequency Regulation Market[C]//2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), Wuhan, China, 2020: 929–932. DOI:10.1109/EI250167.2020.9346743.
Liu Z, et al. Strategic Large Scale Residential Demand Management for Provision of Frequency Regulation under Spot Market Environment[C]//2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2), Chengdu, China, 2022: 22362240. DOI:10.1109/EI256261.2022.10116546.
Tian S, Jiang Y, Dai J, Zhu S, Liu B, Hong B. Flexible Auxiliary Service Market Clearing Method Compatible with Frequency Modulation Service and Electric Energy Schedule[C]//2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2), Hangzhou, China, 2023: 471–475. DOI:10.1109/EI259745.2023.10512950.
Zhai Q, Meng K, Dong Z Y, Ma J. Modeling and Analysis of Lithium Battery Operations in Spot and Frequency Regulation Service Markets in Australia Electricity Market[J]. IEEE Transactions on Industrial Informatics, 2017, 13(5): 2576–2586. DOI:10.1109/TII.2017.2677969.
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