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考虑调频可靠性的风储系统多目标优化策略

Multi-objective Optimization Strategy of Wind Storage System Considering Frequency Modulation Reliability
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摘要 针对风电强不确定性导致的电力系统频率不稳定问题,提出了考虑调频可靠性的风储系统多目标优化策略,以风电功率预测数据为基础,利用风储系统对电力系统提供频率支撑,保证电力系统频率稳定。该策略包含补偿和调频两个步骤,首先提出基于储能系统的风电预测误差补偿策略,并将风电预测误差补偿至10%以内,同时为风电场预留20%的调频容量。其次,考虑系统调频经济性,提出基于模型预测控制的风储系统参与电力系统频率控制策略,采用风电备用和储能系统进行调频。最后,将上述策略作为约束条件,采用多目标哈里斯鹰算法求解满足上述双目标的储能容量用以验证策略的有效性。仿真结果表明:本文所提调频策略能够在保障调频可靠性的基础上,降低电网频率波动,满足风电系统和电网的高效、安全运行。 Aiming at the frequency instability of the power system caused by the strong uncertainty of wind power,a multi-objective optimization strategy for the wind storage system considering the reliability of frequency regulation was proposed.Based on wind power prediction data,the wind storage system was used to provide frequency support to the power system and ensure the frequency stability of the power system.The strategy consisted of two steps including compensation and frequency regulation.Firstly,a wind power prediction error compensation strategy based on the energy storage system was proposed,and the wind power prediction error was compensated to within 10%,while 20%of the frequency regulation capacity was reserved for the wind farm.Secondly,considering the economics of system frequency regulation,the wind storage system based on model prediction control was proposed to participate in the frequency control strategy of the power system,and the wind power standby and energy storage system were used for frequency regulation.Finally,the multi-objective Harris hawk optimizer(HHO)algorithm was used to solve for the energy storage capacity that satisfied the above dual objectives as a constraint to verify the effectiveness of the strategy.The simulation results show that the proposed frequency regulation strategy can reduce the frequency fluctuation of the grid on the basis of ensuring the reliability of frequency regulation,and meet the efficient and safe operation of the wind power system and the grid.
作者 葛丽超 张怡 GE Li-chao;ZHANG Yi(College of Electrical Engineering,North China University of Science and Technology,Tangshan,China,063210)
出处 《热能动力工程》 CAS CSCD 北大核心 2024年第2期154-161,共8页 Journal of Engineering for Thermal Energy and Power
基金 国家重点研发计划项目(国际合作专项)(2021YFE0190900) 唐山市科学计划项目(22130210H) 国家自然科学基金(61803154) 河北省自然科学基金(F2019209553)。
关键词 风储系统 频率控制 储能 预测误差 多目标算法 wind storage system frequency regulation energy storage prediction error multi-objective algorithm
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