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Robust tuning of power system stabilizer for small signal stability enhancement using metaheuristic bat algorithm

机译:使用亚启发式蝙蝠算法对电力系统稳定器进行鲁棒性调整以增强小信号稳定性

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摘要

In this paper, the design of a conventional power system stabilizer (CPSS) is carried out using the bat algorithm (BA) to optimize its gain and pole-zero parameters. The proposed optimization of CPSS parameters is considered with an objective function based on eigenvalue shifting to guaranteeing the stability of nonlinear plant for a wide range of operating conditions of the single-machine infinite-bus power system model. The system performance with BA optimized CPSS (BA-CPSS) controller is compared with a particle swarm optimization based CPSS (PSO-CPSS) controller. The robustness is tested by considering several operating conditions (133 in numbers) to establish the superior performance with BACPSS over the PSO-CPSS.
机译:在本文中,使用蝙蝠算法(BA)进行常规电力系统稳定器(CPSS)的设计,以优化其增益和零极点参数。基于特征值偏移的目标函数考虑了建议的CPSS参数优化,以保证非线性机器在单机无限母线电力系统模型的广泛运行条件下的稳定性。将BA优化CPSS(BA-CPSS)控制器的系统性能与基于粒子群优化的CPSS(PSO-CPSS)控制器进行比较。通过考虑几种操作条件(数量为133)来测试鲁棒性,以建立BACPSS优于PSO-CPSS的性能。

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