中文摘要：

鉴于风储一体化系统中储能容量是影响风电并网系统综合技术经济性能的关键因素之一,提出了基于时序仿真原理和GA算法相结合的协调风电有功功率与其并网系统负荷功率波动的风储一体化系统中储能容量优化配比新方法。根据电网日负荷分布的规律性与风电场出力的随机性,构建了协调风电有功功率与其并网系统负荷功率波动的储能充放电控制策略数学模型;在此基础上,以储能容量最小为目标,考虑储能装置充放电效率、荷电状态与风储合成出力目标等因素,构建了基于时序仿真原理的风储一体化系统中储能容量优化配比数学模型;进一步,采用GA算法对上述时序仿真模型求解。最后,以新疆某风电并网系统实际运行数据对上述风储系统中储能容量优化配比方法进行仿真验证,结果表明：在确保风电出力对系统不构成威胁的情况下,风储功率配比≤8：1,储能系统持续最大持续充放电时间≤1.2 h,较好地兼顾了系统的技术与经济性能。

英文摘要：

The energy storage capacity in wind-storage system is one of the key factors influencing technical and eco- nomic performances of power system integrated with wind station. Therefore, we propose a new method for ordinating active power of wind station with load power fluctuation to optimize the storage capacity in wind-storage system based on timing simulation and GA algorithm. According to daily distribution regularity of load power and randomness of wind power, the energy storage charge and discharge control strategy to ordinate active power of wind station with load fluctu- ation of wind power integration is constructed. Thereby, with the aim of minimum energy storage capacity, considering the efficiency of charge and discharge of energy storage and SOC of storage installation and wind-storage composite out- put target, we establish an optimizing ratio mathematical model of energy storage capacity in wind-storage system by timing simulation; Furthermore, the above-mentioned timing stimulation model is solved with GA algorithm. Finally, some operation data of location power system from xinjiang province are used to validate the new method for optimizing ratio of energy capacity of grid with wind power, and the results confirm that method can better take into account tech- nical and economic performance of system.