MPC Based Ramp-Rate Control Strategy with Battery Energy Storage Systems for Wind Farms

Marlon A. Capuno, Jung-Su Kim, Hwachang Song
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Abstract

This paper tackles the problem of short-term wind fluctuation with the imposition of strict ramp rate limits. A control strategy is proposed to reduce the output ramp-rate of a wind farm to a required level using model predictive control (MPC). The system consists of a wind farm coupled with a battery energy storage system (BESS) with the sole function of ramp-rate control (RRC) that optimizes the wind power output as well as the BESS output energy while observing the physical constraints. A variation of up to 10% of the maximum plant capacity per minute is observed in the implementation of RRC as required the grid code for the acceptable penetration of wind farms into the power system.
基于MPC的风电场电池储能系统斜坡速率控制策略
本文用严格的斜坡率限制来解决短期风波动问题。提出了一种利用模型预测控制(MPC)将风电场输出斜坡率降低到所需水平的控制策略。该系统由一个风电场和一个电池储能系统(BESS)组成,该系统的唯一功能是斜坡速率控制(RRC),在观察物理约束的情况下,优化风电输出和BESS输出能量。按照电网规范的要求,风力发电场进入电力系统的可接受渗透,在实施RRC时,每分钟最大电厂容量的变化可达10%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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