基于储能系统的风电场功率控制研究
摘要:在分析储能系统的各物理模型的基础上，提出一种由数据流构建的适用于系统机电暂态计算的通用储能模型。通过调节储能系统充放电速率限制、储能容量等特性参数，模拟不同储能系统对平抑风电场输出功率波动的效果。利用Matlab/Simulink环境，将储能模型与风电场模型进行结合，以New England 10机39节点标准系统为例进行仿真；为优化储能系统的性能，利用粒子群(particle swarm optimization，PSO)算法对储能模块中的PI控制器参数进行寻优。最后，仿真结果验证了通用储能模型的有效性，该模型可为电力系统有功功率的稳定传输和动态稳定控制提供一定参考。
Abstract：Based on the analysis of various physical models of energy storage system, this paper proposes a universal energy storage model constructed from the data stream which is suitable for system electromechanical transient calculations. By adjusting the charging/discharging rate limit of energy storage system, storage capacity and other characteristic parameters, we simulate the impact of different energy storage systems on stabilizing wind farm output power fluctuation. In Matlab/Simulink environment, the energy storage model is in conjunction with that of the wind farm. Next, the simulation is performed using New England 10-machine 39-bus standard system. In order to optimize the performance of energy storage systems, we adopt particle swarm optimization (PSO) intelligent algorithm to optimize the PI controller parameters in energy storage module. Finally, the simulation results verify the validity of the universal energy storage model, which can provide some valuable reference for the stable transmission of active power and dynamic stability control in power system.
标题：基于储能系统的风电场功率控制研究
title:Wind Farm Power Control Based on Energy Storage System
作者：冯斐,任远洋,王德林
authors:FENG Fei,REN Yuanyang,WANG Delin
关键词：通用储能系统,风电场,PSO智能算法,功率控制,
keywords:universal energy storage system,wind farm,particle swarm optimization (PSO) intelligent algorithm,power control,
发表日期：2017-04-28
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