Load frequency controller design using new Big Bang - Big Crunch 2 algorithm

E. Yesil, A. I. Savran, Cagri Guzay
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引用次数: 4

Abstract

In this study, an optimization based PID controller tuning method is proposed for load-frequency control (LFC) problem. The proposed Big Bang-Big Crunch 2 (BB-BC2) method is an extended version of the original BB-BC, which has a very fast convergence and less computational time. A two-area power system is modeled in Matlab-Simulink for simulations, and then the original BB-BC and the proposed BB-BC2 optimization methods are firstly compared with each other. Since BB-BC method is originally based on randomness these tests are repeated for 100 times and the benefit of the proposed BB-BC2 is shown. Afterwards, the performance of the proposed BB-BC2 algorithm is compared with three other PID tuning methods from literature. The simulation results verify the advantage of the proposed BB-BC2 algorithm to optimize the PID controllers as the load-frequency controller.
负载频率控制器设计采用新的Big Bang - Big Crunch 2算法
针对负载频率控制问题,提出了一种基于优化的PID控制器整定方法。提出的Big Bang-Big Crunch 2 (BB-BC2)方法是原始BB-BC方法的扩展版本,收敛速度快,计算时间少。在Matlab-Simulink中对一个两区电力系统进行了仿真,然后对原有的BB-BC和提出的BB-BC2优化方法进行了比较。由于BB-BC方法最初是基于随机性的,这些测试重复了100次,并显示了提议的BB-BC2的好处。然后,将本文提出的BB-BC2算法与文献中其他三种PID整定方法的性能进行了比较。仿真结果验证了BB-BC2算法优化PID控制器作为负载-频率控制器的优越性。
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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