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Dispatching Method of Combined Wind-Storage System for Multi-Time Scale Scenarios Application in Electricity Markets

Authors :
YIN Gaowen, SHEN Feifan, HUANG Sheng, WEI Juan, QU Yinpeng, WANG Pengda
Source :
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 9, Pp 1410-1419 (2024)
Publication Year :
2024
Publisher :
Editorial Office of Journal of Shanghai Jiao Tong University, 2024.

Abstract

Aimed at the coupling problem of the combined wind-storage system participating in different call time scale scenarios in electricity markets, an optimal dispatching method of the combined wind-storage system oriented to the application of multi-time scale scenarios in electricity markets is proposed to guide the combined wind-storage system to suppress short-term wind power fluctuation, and participate in the electric energy market and the reserve ancillary service market, so as to realize the collaborative optimization among different call time scale scenarios application and maximize the economic benefits of the combined wind-storage system. First, considering the profit mechanism of different scenarios, the objective function is established with the objective of maximizing the economic benefits of multiple scenarios of the combined wind-storage system. Then, the constraints of the combined wind-storage system participating in various application scenarios and multi call time scale coupling constraints are established. Finally, the numerical simulation verifies that the proposed method can improve the comprehensive operation profit of the combined wind-storage system in the day-ahead electric energy market and the reserve ancillary service market while ensuring that the wind power fluctuation does not exceed the limit.

Details

Language :
Chinese
ISSN :
10062467
Volume :
58
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Shanghai Jiaotong Daxue xuebao
Publication Type :
Academic Journal
Accession number :
edsdoj.451511142fef4a968ed2f24a622aff6c
Document Type :
article
Full Text :
https://doi.org/10.16183/j.cnki.jsjtu.2022.493