Optimisation Techniques for Load Frequency Control

Muhammad Hasan Motalib Soorefan, R. Ramjug-Ballgobin
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Abstract

Stability is a crucial part when discussing power systems. It is the ability of a system to return to an equilibrium state after being subjected to a certain load perturbation. In this paper, the focus is on frequency stability, also known as Load Frequency Control (LFC). For this instance, two different power systems, namely a single source two area system and a multi-source power system were used. The aim is to design and apply three different control algorithms namely Equilibrium optimisation (EO), Grey Wolf optimisation (GWO) and Whale optimisation (WOA) to the two mentioned power systems and determine the most suitable one for LFC. The results obtained showed that all three algorithms were successful in improving the uncompensated response. Further in-depth analysis which was related to the fitness function found that the Equilibrium optimisation was the best among the three techniques due to its superior explorative behaviour.
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负载频率控制的优化技术
在讨论电力系统时,稳定性是一个至关重要的部分。它是系统在受到一定负荷扰动后恢复到平衡状态的能力。本文的重点是频率稳定性,也称为负载频率控制(LFC)。在本实例中,使用了两种不同的电源系统,即单源两区系统和多源电源系统。目的是设计和应用三种不同的控制算法,即平衡优化(EO),灰狼优化(GWO)和鲸鱼优化(WOA)到上述两个电力系统,并确定最适合LFC的算法。结果表明,三种算法都能有效地改善无补偿响应。与适应度函数相关的进一步深入分析发现,由于其优越的探索行为,均衡优化是三种技术中最好的。
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