摘要
储能技术的发展为风电的大规模并网后造成的电能质量问题提供了有效解决方法。合理的储能设备容量不仅能够提高储能设备的利用效率,也能平滑风电输出,改善电能质量。本文考虑计及储能设备减少旋转备用容量的风电场经济效益及功率波动的平衡性,采用多目标粒子群算法进行风电场储能装置的容量优化,以Pareto最优解集的形式表示储能设备带来的风电场经济性与稳定性多目标的兼顾。并通过某地的风电场典型日出力情况作为仿真实例,验证优化所得结果的有效性,可为风电场的储能装置容量选择提供实用的参考方案。
The development of energy storage technology provides an effective method for solving power quality issue caused by large scale grid-connected wind farm. Rational capacity of energy storage device can not only enhance utili- zation efficiency of energy storage device, but also smooth wind power output, and improve power quality. In this pa- per, by considering that the economical profit of wind farm for rotating backup capacity can be reduced by energy stor- age device and the balance of power fluctuation, multi-ob- jective particle swarm optimization algorithm is used to opti- mize capacity of storage equipment for wind farm, and both the economic and stability of wind farm brought by energy storage device can be reflected by using Pareto optimal solu- tion set. By taking classical clay power output for one wind farm as simulation case, the effectiveness of proposed meth- od is verified, and the works in this paper can provide refer- ence applicable scheme for selecting capacity of energy stor- age device for wind farm.
出处
《现代电力》
北大核心
2015年第5期42-47,共6页
Modern Electric Power
基金
国家自然科学基金项目(51277028)
江苏省高校自然科学研究面上项目(12KJB470007)
关键词
风电场
储能设备
容量优化
粒子群算法
多目标优化
wind power farm
energy storage device
ca-pacity optimization
particle swarm optimization
the multi-objective optimization
