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Robust design of power system stabilizer using bacterial foraging algorithm

机译:基于细菌觅食算法的电力系统稳定器稳健设计

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In this paper, a novel bacterial foraging algorithm (BFA) based approach for robust and optimal design of PID controller connected to power system stabilizer (PSS) is proposed for damping low frequency power oscillations of a single machine infinite bus bar (SMIB) power system. This paper attempts to optimize three parameters (K_p, K_i, K_d) of PID-PSS based on foraging behaviour of Escherichia coli bacteria in human intestine. The problem of robustly selecting the parameters of the power system stabilizer is converted to an optimization problem which is solved by a bacterial foraging algorithm' with a carefully selected objective function. The eigenvalue analysis and the simulation results obtained for internal and external disturbances for a wide range of operating conditions show the effectiveness and robustness of the proposed BFAPSS. Further, the time domain simulation results when compared with those obtained using conventional PSS and Genetic Algorithm (GA) based PSS show the superiority of the proposed design.
机译:本文提出了一种新颖的基于细菌觅食算法(BFA)的方法,用于对与电力系统稳定器(PSS)连接的PID控制器进行鲁棒和优化设计,以抑制单机无限母线(SMIB)电力系统的低频电力振荡。本文尝试根据人类肠道中大肠杆菌细菌的觅食行为来优化PID-PSS的三个参数(K_p,K_i,K_d)。鲁棒地选择电力系统稳定器的参数的问题被转换为优化问题,该问题由具有精心选择的目标函数的细菌觅食算法解决。针对各种工作条件下的内部和外部干扰进行的特征值分析和仿真结果表明,所提出的BFAPSS的有效性和鲁棒性。此外,与使用常规PSS和基于遗传算法(GA)的PSS获得的时域仿真结果相比,该时域仿真结果表明了所提出设计的优越性。

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