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Hour-Ahead Optimization Strategy for Shared Energy Storage of Renewable Energy Power Stations to Provide Frequency Regulation Service
Yuxin Ma1; Zechun Hu1; Yonghua Song2
2022-10
Source PublicationIEEE Transactions on Sustainable Energy
ISSN1949-3029
Volume13Issue:4Pages:2331-2342
Abstract

With the rapid growth of intermittent renewable energy sources, it is critical to ensure that renewable power generators have the capability to perform primary frequency response (PFR). This paper proposes a framework for using a shared battery energy storage system (BESS) to undertake the PFR obligations for multiple wind and photovoltaic (PV) power plants and provide commercial automatic generation control (AGC) service in the ancillary service market at the same time. Furthermore, an optimal bidding strategy in the hour-ahead energy and ancillary service markets is proposed to maximize the BESS' benefits, considering frequency regulation performance, battery degradation cost, and the state of charge (SoC) limits. The optimization model is first built as a chance-constrained optimization problem and then transformed into mixed-integer quadratically constrained programming using Wasserstein metric-based distributionally robust optimization technique. Simulation results show that the proposed optimal bidding strategy and solution method can effectively take advantage of a BESS to perform PFR and provide AGC services simultaneously and improve its economic benefits.

KeywordAutomatic Generation Control Shared Battery Energy Storage System Distributionally Robust Optimization Primary Frequency Response Renewable Energy Sources Wind Power Generation Batteries Power System Stability Frequency Control Optimization Photovoltaic Systems
DOI10.1109/TSTE.2022.3194718
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaScience & Technology - Other Topics ; Energy & Fuels ; Engineering
WOS SubjectGreen & Sustainable Science & Technology ; Energy & Fuels ; Engineering, Electrical & Electronic
WOS IDWOS:000857351600035
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85135737908
Fulltext Access
Citation statistics
Cited Times [WOS]:45   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Faculty of Science and Technology
Corresponding AuthorZechun Hu
Affiliation1.Department of Electrical Engineering, Tsinghua University, Beijing, China
2.State Key Laboratory of Internet of Things for Smart City, University of Macau, Taipa, Macau, China
Recommended Citation
GB/T 7714
Yuxin Ma,Zechun Hu,Yonghua Song. Hour-Ahead Optimization Strategy for Shared Energy Storage of Renewable Energy Power Stations to Provide Frequency Regulation Service[J]. IEEE Transactions on Sustainable Energy, 2022, 13(4), 2331-2342.
APA Yuxin Ma., Zechun Hu., & Yonghua Song (2022). Hour-Ahead Optimization Strategy for Shared Energy Storage of Renewable Energy Power Stations to Provide Frequency Regulation Service. IEEE Transactions on Sustainable Energy, 13(4), 2331-2342.
MLA Yuxin Ma,et al."Hour-Ahead Optimization Strategy for Shared Energy Storage of Renewable Energy Power Stations to Provide Frequency Regulation Service".IEEE Transactions on Sustainable Energy 13.4(2022):2331-2342.
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