基于灰狼算法的IPFC协同负载频率控制策略

R. Shankar
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引用次数: 0

摘要

本文重点介绍了储能装置氧化还原液流电池(RFB)在互联电力系统中的作用。整个电力系统包含常规火力、水力、燃气和风力发电厂两大区域的电力系统。现实情况下,火电厂包括发电速率约束(GRC)和调速器死区(GDB)等物理非线性。本文还讨论了柔性交流输电系统(FACTS)设备即线间潮流控制器(IPFC)与联络线串联的影响。引入带导数滤波器的比例积分导数(PID)控制器对电力系统进行控制,并从外部减弱系统中的噪声。最后,利用一种强大的元启发式灰狼优化算法(GWO)对控制器和系统中的其他参数进行优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grey Wolf Algorithm based Control Strategy for Load Frequency Control in Coordination with IPFC
This paper highlights the effect of energy storage device i.e. Redox Flow Battery (RFB) in the interconnected power system. The overall power system contains conventional thermal, hydro, gas and wind power plant in a two area power system. The thermal power plant comprises certain physical non-linearities like Generation Rate Constraint (GRC) and Governor dead band (GDB) for realistic approach. This paper also comprises the effect of a Flexible Alternating Current (AC) Transmission System (FACTS) device i.e. Interline Power Flow Controller (IPFC) in series with tie line. A Proportional-Integral-Derivative (PID) controller with a derivative filter is introduced to control the power system and externally attenuate the noise in the system. At last a powerful meta-heuristic Grey Wolf Optimization (GWO) is used to tune controllers and other parameters in the system.
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