基于时变加速度系数粒子群优化的单区火电系统PID控制器

Qaher Mohammed Abdo, H. Ewad, Khaleel Agail Mohamed
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引用次数: 1

摘要

提出了一种解决无再热单区火电系统负荷频率控制问题的可靠方法。该控制器由由时变加速度系数粒子群优化算法优化的PID控制器组成。与传统的齐格勒-尼克尔斯整定PID控制器相比,该控制器在添加10%负载扰动时稳定时间为1.02 s,欠调量为6.44%,稳态误差为零。另外,在+50%和-50%的范围内,通过改变运行负载条件和系统参数来进行鲁棒性测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized PID Controller for Single Area Thermal Power System Based on Time Varying Acceleration Coefficients Particle Swarm optimization
This paper presents a reliable approach to solve the problem of Load Frequency Control (LFC) for non-reheat single area thermal power system. The proposed controller consists of PID controller optimized by Time Varying Acceleration Coefficient Particle Swarm Optimization (TVACPSO) algorithm. The proposed controller shows excellent results with settling time 1.02 second, undershoot of 6.44%, and zero steady state error when 10% load disturbance is added to the system comparing to the results which obtained by conventional Ziegler Nichols tuning PID controller. Additionally, the robustness test is done by changing the operating loading conditions and the parameters of the system in the range of +50% and -50%.
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