微分演化参数整定对PID控制器在放松管制环境下混合电力系统自动发电控制的影响

2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT) Pub Date : 2016-03-18 DOI:10.1109/ICCPCT.2016.7530109

Chandan Kumar Barik, Rukmini Baksi, Himanshu Shekhar, Biswa Ranjan Kuanr, Madhavi Lata

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引用次数: 5

摘要

差分进化(DE)是一种最强大的进化算法，已被众多研究人员广泛用于复杂工程问题的全局优化。算法控制参数的选择对差分进化算法的高效性能起着至关重要的作用。然而，为获得最佳性能而选择的控制参数因问题而异。本文研究了一种基于差分进化自整定PID控制器的结构混合电力系统自动发电控制方法。采用积分平方误差(ISE)控制策略对PID控制器的增益参数Kp、Ki、Kd进行整定。分析结果表明，控制参数选择不当严重影响了算法的性能。采用MATLAB/SIMULINK平台对测试系统进行建模和仿真。

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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Effect of parameter tuning of differential evolution on PID controller for automatic generation control of a hybrid power system in deregulated environment

Differential evolution (DE) is one of the most powerful evolutionary algorithm that has been extensively used by various researchers for global optimization of complex engineering problems. Selection of algorithm control parameter plays a vital role in the efficient performance of differential evolution algorithm. However, choice of control parameters for optimum performance varies from problem to problem. In this work a parametric study of differential evolution tuned PID controller for automatic generation control of a restructured hybrid power system is presented. Gain parameters of PID controller Kp, Ki, Kd are tuned by Integral Square Error (ISE) control strategy. Analysis of results obtained shows that improper choice of control parameters considerably hampers the performance of the algorithm. MATLAB/SIMULINK platform is used for modeling and simulating the test system.

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2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)

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