摘要
随着风电的电力系统高比例接入,其输出功率的随机波动性将对系统的经济调度带来影响,为此,从风电场协调经济调度出发,研究利用储能平抑风电场功率波动的容量设计与控制策略。首先设计风电场基于电池和超级电容器的混合储能系统及考虑两种储能装置功率调节特性的风功率波动平滑控制策略;然后利用风电场并网电力系统及其经济调度控制,基于储能系统分组轮换控制提出一种储能面向风功率波动平抑的荷电状态管理与容量设计方法。在此基础上,针对风电功率波动的随机特性,采用人工神经网络设计储能系统动态跟踪风电场输出功率波动的控制策略。该控制策略通过利用风电场输出功率预测误差进行神经元权重在线调整,不仅使风电功率波动平抑具有良好的控制效果,而且提高了控制器对控制输入随机波动的鲁棒响应。最后利用改进的含风电场的3机11节点电力系统仿真,验证所提储能系统荷电状态管理和容量设计、平抑风功率波动控制策略的有效性。
With the grid-connection proportion of wind generators increasing,the random fluctuation of wind power will take an impact on the economic dispatching of power system.To address this,from the perspective of wind power plant coordinating economic dispatching,the two key issues of both the capacity design and control of the energy storage used for smoothing the wind power fluctuation are studied.First,a hybrid energy storage system based on both the battery storage and the super capacitor storage,the smoothing control strategy of wind power fluctuation considering the regulation characteristics of the two kinds of energy storage devices are respectively designed as well.Then,based on wind farm grid-connected power system and its economic dispatching control,using the group rotation method to implement the hybrid energy storage system smoothing the fluctuation of wind power,the methods of both the capacity design and the management of the state of charging of each hybrid energy storage group are presented.Moreover,taking account into the random characteristics of wind power fluctuation,the control strategy making energy storage system to dynamically track the output power fluctuation of wind farm is designed by using the artificial neutral network.Since the proposed control strategy using the deviation between the actual output power and the predicted output power of the wind power plant to adjust the weight of each neuron on line,this not only takes good control effect on the wind power fluctuation smoothing,but also improves the robust response of the controller to the random fluctuation of control input.Finally,an improved 3-machine 11-node wind power system is built.At the same time,the feasibility of the proposed method for both managing the state of charging of each energy storage group and designing the capacity,the effectiveness of the proposed adaptive neural network control strategy are respectively validated by simulation.
作者
鹿婷
贾继超
彭晓涛
LU Ting;JIA Jichao;PENG Xiaotao(China Ship Research and Design Center,Wuhan 430064,Hubei Province,China;School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,Hubei Province,China)
出处
《分布式能源》
2019年第3期40-49,共10页
Distributed Energy
基金
国家重点研发计划项目(2018YFB0904001)~~
关键词
风电波动
混合储能
分组轮换
人工神经网络
经济调度
wind power fluctuation
hybrid energy storage system
group rotation
artificial neutral network
economic dispatching
