Residential College | false |
Status | 已發表Published |
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 Publication | IEEE Transactions on Sustainable Energy |
ISSN | 1949-3029 |
Volume | 13Issue: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. |
Keyword | Automatic 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 |
DOI | 10.1109/TSTE.2022.3194718 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Science & Technology - Other Topics ; Energy & Fuels ; Engineering |
WOS Subject | Green & Sustainable Science & Technology ; Energy & Fuels ; Engineering, Electrical & Electronic |
WOS ID | WOS:000857351600035 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 |
Scopus ID | 2-s2.0-85135737908 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) Faculty of Science and Technology |
Corresponding Author | Zechun Hu |
Affiliation | 1.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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