TY - GEN
T1 - Coordinated Planning and Configuration of Wind Power and Energy Storage in Park Microgrids
AU - Bo, Siqi
AU - Lv, Minghang
AU - Yan, Mei
AU - Zhang, Jiaojiao
AU - Xu, Zile
AU - Guo, Chongshen
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper addresses the optimal allocation of energy storage in park microgrids operating under a combined power supply mode of wind power generation and the main grid. The goal is to enhance wind power utilization and reduce power abandonment caused by the mismatch between load demand and power generation timings, thereby improving economic efficiency and system stability. Various energy storage configuration schemes are developed, and systematic energy storage configuration and operation strategies are provided using optimization models, genetic algorithms, multi-objective optimization, decision trees, and intelligent algorithms. This research offers theoretical foundations and practical guidance for the planning and construction of future park microgrids, highlighting its significant practical relevance.
AB - This paper addresses the optimal allocation of energy storage in park microgrids operating under a combined power supply mode of wind power generation and the main grid. The goal is to enhance wind power utilization and reduce power abandonment caused by the mismatch between load demand and power generation timings, thereby improving economic efficiency and system stability. Various energy storage configuration schemes are developed, and systematic energy storage configuration and operation strategies are provided using optimization models, genetic algorithms, multi-objective optimization, decision trees, and intelligent algorithms. This research offers theoretical foundations and practical guidance for the planning and construction of future park microgrids, highlighting its significant practical relevance.
KW - Energy storage optimization
KW - genetic algorithm
KW - multi-objective optimization
KW - optimization model
UR - https://www.scopus.com/pages/publications/85207493224
U2 - 10.1109/ICEEPS62542.2024.10693201
DO - 10.1109/ICEEPS62542.2024.10693201
M3 - 会议稿件
AN - SCOPUS:85207493224
T3 - 2024 3rd International Conference on Energy and Electrical Power Systems, ICEEPS 2024
SP - 94
EP - 99
BT - 2024 3rd International Conference on Energy and Electrical Power Systems, ICEEPS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Energy and Electrical Power Systems, ICEEPS 2024
Y2 - 14 July 2024 through 16 July 2024
ER -