基于粒子群算法的并联电力系统负荷频率控制

Mohammad Sulaiman Redoy, Ruma
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引用次数: 1

摘要

本文的目的是在传统的比例-积分-导数(PID)控制器和粒子群优化(PSO)优化技术的基础上,设计一种最优的互联电力系统控制器,以便在负荷变化的情况下实现更好的负荷频率控制。所提出的PID-PSO控制器在上升时间、稳定时间、最小超调量和联络线误差方面提供了较好的解决方案。在该仿真模型中,两个具有多源发电机组的电力区域通过联络线连接。采用粒子群算法对PID控制器的参数进行调谐以获得最优输出。利用MATLAB软件SIMULINK对系统进行了设计和仿真。给出了频率偏差、联络线误差和沉降时间的计算结果。
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Load Frequency Control of an Inter Connected Power System Using PSO Based PID Controller
The objective of this paper is to design an optimum controller for an interconnected power system based on conventional Proportional-Integral-Derivative (PID) controller and Particle Swarm Optimization (PSO) optimization technique for better Load Frequency Control (LFC) in the event of changing load. This proposed PID-PSO controller provides better solutions in terms of rising time, settling time, minimum overshoot and tie-line error. In this proposed simulation model, two power areas with multi-source generation units are connected via a tie-line connection. Parameters of the PID controller are tuned using the PSO algorithm for optimum output. The system was designed and simulated using MATLAB software using SIMULINK. The results are presented in terms of frequency deviation, tie line error, and settling time.
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