基于混合细菌觅食和粒子群优化的最优负荷频率控制

N. Kouba, M. Menaa, M. Hasni, B. Boussahoua, M. Boudour
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引用次数: 19

摘要

提出了一种结合细菌觅食和粒子群优化的混合方法,用于确定两区互联电力系统负荷频率控制(LFC)的比例-积分-导数(PID)控制器的最优值。将该方法与启发式优化方法(PSO)和细菌觅食优化方法(BFO)进行了比较,从而与传统的齐格勒-尼克尔斯方法进行了比较。将pid整定的结果与I控制器、ID控制器和PI控制器的结果进行了比较。在区域-1中,由于阶跃负载扰动,显示了瞬态响应。主要目标是抑制系统频率和线路潮流的所有波动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal load frequency control based on hybrid bacterial foraging and particle swarm optimization
This paper presents an application of a hybrid technique combining bacterial foraging with particle swarm optimization (BF-PSO) for determining the optimal values for the proportional-integral-derivation (PID) controller for a load frequency control (LFC) of two-area interconnected power system. This method is compared to the heuristic optimization method (PSO) and to bacterial foraging optimization (BFO) thereby to the traditional Ziegler-Nichols method. The results of PID-tuning are compared with the results of I, ID and PI controllers. The transient responses are shown due to step load disturbances in area-1. The main primary objective is to suppress all the fluctuations of the system frequency and tie line power flow.
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