文献标志码：A

风电场中储能装置的容量优化

窦迅1，计仕清1，李扬2，邱泽峰1

(1.南京工业大学自动化与电气工程学院，江苏南京211816；2.东南大学电气工程学院，江苏南京210096)

Capacity Optimization of Energy Storage Devices in Wind FarmDOU Xun1, JI Shiqing1,LI Yang2,QIU Zefeng1

(1.School of Automation and Electrical Engineering, Nanjing University of Technology, Nanjing 211816,China;

2. School of Electrical Engineering, Southeast University,Nanjing 210096,China)

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。

关键词：风电场：储能设备：容量优化：粒子群算法：多目标优化

文章编号：1007-2322(2015)05-0042-06

中图分类号：TM91

基金项目：国家自然科学

收稿日期：2014-09-29

作者简介：

Abstract：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 utilization efficiency of energy storage device, but also smooth wind power output, and improve power quality. In this paper, by considering that the economical profit of wind farm for rotating backup capacity can be reduced by energy storage device and the balance of power fluctuation, multi-objective particle swarm optimization algorithm is used to optimize 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 solution set. By taking classical day power output for one wind farm as simulation case, the effectiveness of proposed method is verified, and the works in this paper can provide reference applicable scheme for selecting capacity of energy storage device for wind farm.

Keywords：wind power farm;energy storage device;capacity optimization; particle swarm optimization;the multi-objective optimization

0引言

风力发电是风能利用的主要形式。风电作为不同与火电、水电等常规的电源，其输出功率与该时刻的风速密切相关，具有间歇性和波动性。风电的大规模并网会对原电网的稳定性和电能质量[1-2]造成巨大影响，甚至会导致电网崩溃，风电输出不稳定成为了限制风电并网的重要原因。增加储能设备可以为风电并网提供有效的支撑，增强电网的调频、调峰能力，有效解决风能的随机性和波动性的问题[3-4]。……