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A novel modified differential evolution algorithm optimized fuzzy proportional integral derivative controller for load frequency control with thyristor controlled series compensator
Journal of Electrical Systems and Information Technology Pub Date : 2018-12-01 , DOI: 10.1016/j.jesit.2016.12.003
Dillip Kumar Sahoo , Rabindra Kumar Sahu , G.T. Chandra Sekhar , Sidhartha Panda

Abstract In this paper, a novel evolution (MDE) algorithm optimized fuzzy PID controller is proposed for load frequency control (LFC) of interconnected power system with the consideration of nonlinearity. The gains of the fuzzy PID controller are optimized using different strategies of DE algorithm. Then, modification in DE algorithm is proposed for the best strategy by a simple but effective scheme of changing two of its most important control parameters (step size and crossover probability) with an objective of achieving improved performance. Additionally, a thyristor controlled series compensator (TCSC) model is developed which is suitable for LFC problem. The performance of fuzzy PID controller coordinated with TCSC has been investigated. Finally the proposed approach is investigated under randomly load.

中文翻译:

一种新的改进微分进化算法优化模糊比例积分微分控制器用于晶闸管控制串联补偿器的负载频率控制

摘要 在本文中,提出了一种新的进化(MDE)算法优化模糊PID控制器,用于考虑非线性的互连电力系统的负载频率控制(LFC)。模糊PID控制器的增益使用DE算法的不同策略进行优化。然后,通过改变其两个最重要的控制参数(步长和交叉概率)的简单而有效的方案,提出对 DE 算法的修改以获得最佳策略,以实现改进的性能。此外,还开发了适用于 LFC 问题的晶闸管控制串联补偿器 (TCSC) 模型。研究了与 TCSC 协调的模糊 PID 控制器的性能。最后,在随机负载下研究了所提出的方法。
更新日期:2018-12-01
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