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Robust Design of PID Power System Stabilizer in Multi-Machine Power System Using Artificial Intelligence Techniques

机译:采用人工智能技术多机电力系统PID电力系统稳定器的鲁棒设计

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This paper presents robust tuning of Proportional Integral Derivative Power System Stabilizers (PID-PSS) using artificial intelligence (AI) techniques. Tow heuristic methods, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are used to PID-PSS parameters tuning minimizing an objective function and results are compared with each other which Eigen value analysis Is used for comparison. The proposed method is confirmed by obtained simulation results of a Three-Machine power system under different operating conditions.
机译:本文介绍了使用人工智能(AI)技术的比例整体衍生电力系统稳定器(PID-PSS)的强大调整。牵引启发式方法,粒子群优化(PSO)和遗传算法(GA)用于PID-PSS参数调整最小化目标函数,并且彼此比较的结果,其中eIgen值分析用于比较。通过在不同的操作条件下获得三机电力系统的模拟结果来确认所提出的方法。

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