TY - GEN
T1 - Comprehensive Evaluation of Partition Aggregation of Energy Storage Power Station Based on Entropy Weight-Analytic Hierarchy Process
AU - Bai, Zhenmin
AU - Li, Peng
AU - Tao, Yibin
AU - Sang, Bingyu
AU - Sun, Shumin
AU - Wang, Jiahao
AU - Sun, Wu
AU - Tong, Zechen
N1 - Publisher Copyright:
© Beijing Paike Culture Commu. Co., Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Energy storage power station is an important object of new power systems participating in peak shaving, frequency modulation, and voltage regulation scenarios, and it is of great reference significance to evaluate it reasonably and comprehensively in different scenarios. Firstly, based on the spatial distribution of energy storage power stations and the differences in participating in power grid regulation in different scenarios, combined with the actual operation state of the power grid and the technical parameters of energy storage power stations, some representative indicators of regulation ability are selected, and K-means clustering is used to partition and aggregate them in different scenarios; Then, a comprehensive weighting method based on entropy weight-analytic hierarchy process is proposed, and TOPSIS algorithm is used to comprehensively evaluate the aggregated energy storage power station; Finally, taking IEEE 118 bus system as an example, the comprehensive evaluation results of various aggregated energy storage power stations in different scenarios are obtained, which verifies the rationality and effectiveness of the proposed method.
AB - Energy storage power station is an important object of new power systems participating in peak shaving, frequency modulation, and voltage regulation scenarios, and it is of great reference significance to evaluate it reasonably and comprehensively in different scenarios. Firstly, based on the spatial distribution of energy storage power stations and the differences in participating in power grid regulation in different scenarios, combined with the actual operation state of the power grid and the technical parameters of energy storage power stations, some representative indicators of regulation ability are selected, and K-means clustering is used to partition and aggregate them in different scenarios; Then, a comprehensive weighting method based on entropy weight-analytic hierarchy process is proposed, and TOPSIS algorithm is used to comprehensively evaluate the aggregated energy storage power station; Finally, taking IEEE 118 bus system as an example, the comprehensive evaluation results of various aggregated energy storage power stations in different scenarios are obtained, which verifies the rationality and effectiveness of the proposed method.
KW - Comprehensive Evaluation
KW - Energy Storage Plants
KW - Entropy Weight-Analytic Hierarchy Process
KW - Partition Aggregation
UR - http://www.scopus.com/inward/record.url?scp=85190370987&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-1351-6_42
DO - 10.1007/978-981-97-1351-6_42
M3 - Conference contribution
AN - SCOPUS:85190370987
SN - 9789819713509
T3 - Lecture Notes in Electrical Engineering
SP - 386
EP - 394
BT - The Proceedings of the 18th Annual Conference of China Electrotechnical Society - Volume IV
A2 - Yang, Qingxin
A2 - Li, Zewen
A2 - Luo, An
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th Annual Conference of China Electrotechnical Society, ACCES 2023
Y2 - 15 September 2023 through 17 September 2023
ER -