OPTIMIZATION OF STORAGE CAPACITY ALLOCATION IN WIND FARM CLUSTER BASED ON ANT LION OPTIMIZATION ALGORITHM
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摘要: 随着风电渗透率提高,风电并网对电网安全稳定运行影响更加显著。风电配备储能可有效改善风电出力波动性和不确定性,增强可调度性。该文建立以风电集群联合储能系统售电收益最高为优化目标的模型,采用蚁狮算法算法进行求解,得到风电集群功率备用、储能功率和容量最优配置方案,对比蚁狮算法、遗传算法和粒子群算法优化结果,分析储能电池单位成本和寿命对优化结果影响。最后以中国东北某风电集群作为算例,验证了所提算法与模型的有效性。Abstract: As the penetration of wind power increases,the impact of wind power grid connection on the power grid more significant.Wind power configure energy storage can effectively improve the random fluctuation and enhance the schedulability. The paper establishes a model with the highest sales income of the wind energy cluster combined energy storage system as the optimization target,and the ant lion algorithm was used to solve the problem. The optimal configuration of the wind power cluster power standby,energy storage power and capacity are obtained. The results of ant lion algorithm,genetic algorithm and particle swarm optimization are compared. The impact of unit cost and life of energy storage battery on optimization results is analyzed. Finally,a wind farm cluster in Northeast China is taken as an example to verify the effectiveness of the proposed algorithm and model.
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Keywords:
- battery storage /
- offshore wind farms /
- frequency regulation /
- ant lion algorithm /
- optimization
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