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首页> 外文期刊>International journal of Power and energy conversion >Application of multi-objective PID controller for load frequency control in two-area nonlinear electric power systems
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Application of multi-objective PID controller for load frequency control in two-area nonlinear electric power systems

机译：多目标PID控制器在两区域非线性电力系统负荷频率控制中的应用

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摘要

Design of optimal controllers is indeed a multi-objective optimisation problem. Non-dominated sorting in genetic algorithms-Ⅱ (NSGA-Ⅱ) is a popular algorithm for solving multi-objective optimisation problems. This paper investigates the application of NSGA-Ⅱ technique for the tuning of a proportional-integral-derivative (PID) controller for a class of identical two area-thermal power stations including the generation rate constraint (GRC) and boiler nonlinear dynamics as well as the governor dead band (GDB). The design objective is to improve the damping of frequency fluctuation in two-area power system when subjected to a disturbance in their loads. The proposed technique is applied to generate Pareto set of global optimal solutions to the given multi-objective optimisation problem. Further, the two PID controllers in each area are assumed to have identical structures (same parameters). Simulation results using the tuned multi-objectives-based GA PID controller are presented. The effectiveness of the proposed scheme is confirmed using MATLAB-Simulink software.
机译：最优控制器的设计确实是一个多目标优化问题。遗传算法Ⅱ（NSGA-Ⅱ）中的非支配排序是解决多目标优化问题的一种流行算法。本文研究了NSGA-Ⅱ技术在一类相同的两个区域火力发电厂的比例积分微分（PID）控制器的整定中的应用，包括发电量约束（GRC）和锅炉非线性动力学以及调速器死区（GDB）。设计目标是改善两区电力系统在受到负载干扰时的频率波动衰减。所提出的技术被用于为给定的多目标优化问题生成全局最优解的帕累托集。此外，假定每个区域中的两个PID控制器具有相同的结构（相同的参数）。给出了使用基于多目标优化的GA PID控制器的仿真结果。使用MATLAB-Simulink软件确认了该方案的有效性。

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