Optimal load frequency control based on artificial bee colony optimization applied to single, two and multi-area interconnected power systems

Nour El Yakine Kouba, M. Menaa, M. Hasni, M. Boudour
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引用次数: 27

Abstract

This paper describes an application of Artificial Bee Colony (ABC) to load frequency control (LFC) in single, two and multi-area interconnected power systems. The proposed ABC algorithm is used to obtain the optimal values of the proportional-integral-derivation (PID) controller parameters based load frequency control (LFC). The principal function of the LFC loop is to control the frequency and active power. The main aim of this work is to suppress all the fluctuations of the system due to the disturbance and get back the frequency at nominal value. In order to analyze the system frequency and the tie-line power flow with the varying of the load, the simulation is performed under load disturbances. Simulation results showed good performance in terms of settling time and peak overshoot of the proposed approach compared to the traditional Ziegler-Nichols, Genetics Algorithm (GA), Particle Swarm Optimization (PSO) and Bacterial Foraging Optimization (BFO) methods, and the ability of the proposed algorithm to solve load frequency control problems under different disturbances is confirmed.
基于人工蜂群优化的最优负荷频率控制在单、双、多区域互联电力系统中的应用
本文介绍了人工蜂群(ABC)在单区、双区和多区互联电力系统负荷频率控制中的应用。提出的ABC算法用于获得基于负载频率控制(LFC)的比例积分导数(PID)控制器参数的最优值。LFC回路的主要功能是控制频率和有功功率。这项工作的主要目的是抑制系统因干扰而产生的所有波动,使频率恢复到标称值。为了分析系统频率和联络线潮流随负荷变化的规律,在负荷扰动下进行了仿真。仿真结果表明,与传统的齐格勒-尼克尔斯(Ziegler-Nichols)、遗传算法(GA)、粒子群优化(PSO)和细菌觅食优化(BFO)方法相比,所提方法在稳定时间和峰值超调方面都有较好的性能,并证实了所提算法解决不同干扰下负荷频率控制问题的能力。
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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