电力建设2024，Vol.45Issue(8)：62-74,13.DOI:10.12204/j.issn.1000-7229.2024.08.006
大规模风光储场站群功率跟踪优化控制实时仿真
Real-time Simulation of Optimal Power Tracking Control for Large-Scale Wind-Photovoltaic-Storage Power Station Clusters
摘要
Abstract
Wind-photovoltaic-storage power station clusters will become the typical form of power source in new electrical systems with the goals of"carbon peaking and carbon neutrality."Power tracking control is a fundamental capability required for grid integration.Based on this,we propose a power-tracking optimization control strategy that considers the lifespan degradation of the energy storage along with a closed-loop simulation method.First,a simulation platform,based on a hardware-in-the-loop real-time digital simulator(RTDS),was constructed using a large-scale wind-photovoltaic-storage power station cluster demonstration project in a certain area as the simulation object.Next,a refined degradation model for the energy storage lifespan was established considering the impact of its operational state.Furthermore,a power allocation strategy based on energy storage lifespan degradation and a command-tracking strategy based on the real-time compensation of energy storage are proposed.Finally,the effectiveness and robustness of the proposed control strategies are verified through closed-loop simulation tests covering different operating conditions and time scales.关键词
风光储场站群/功率跟踪/实时仿真/寿命衰减/等寿命退化微增率Key words
wind-photovoltaic-storage power station clusters/power tracking/real-time simulation/lifespan degradation/equal-lifespan degradation/micro-increment rate分类
信息技术与安全科学引用本文复制引用
孙浩男,杜鹏,刘念,杨珞妍,张玮,胡德鹏..大规模风光储场站群功率跟踪优化控制实时仿真[J].电力建设,2024,45(8):62-74,13.基金项目
This work is supported by National Key R&D Program of China(No.2021YFB2400700). 国家重点研发计划资助项目(2021YFB2400700) （No.2021YFB2400700）
中国长江三峡集团有限公司科研项目资助(202103368) （202103368）
