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Multi-machine power system stabilizer design by rule based bacteria foraging

机译:基于规则的细菌觅食的多机动力系统稳定器设计

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摘要

Several power system stabilizers (PSS) connected in number of machines in a multi-machine power systems, pose the problem of appropriate tuning of their parameters so that overall system dynamic stability can be improved in a robust way. Based on the foraging behavior of Escherichia coli bacteria in human intestine, this paper attempts to optimize simultaneously three constants each of several PSS present in a multi-machine power system. The tuning is done taking an objective function that incorporates a multi-operative condition, consisting of nominal and various changed conditions, into it. The convergence with the proposed rule based bacteria foraging (RBBF) optimization technique is superior to the conventional and genetic algorithm (GA) techniques. Robustness of tuning with the proposed method was verified, with transient stability analysis of the system by time domain simulations subjecting the power system to different types of disturbances.
机译:在多机器电源系统中,连接在许多机器中的几个电源系统稳定器(PSS)带来了对其参数进行适当调整的问题,因此可以以可靠的方式提高整个系统的动态稳定性。基于大肠杆菌在人肠中的觅食行为,本文尝试同时优化存在于多机器电源系统中的几个PSS中的三个常数。使用目标函数完成调整,该目标函数将多操作条件(包括标称值和各种已更改的条件)纳入其中。所提出的基于规则的细菌觅食(RBBF)优化技术的收敛性优于常规和遗传算法(GA)技术。验证了所提方法的鲁棒性,并通过时域仿真对系统进行了暂态稳定性分析,使电力系统受到不同类型的干扰。

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