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首页> 外文期刊>WSEAS Transactions on Power Systems >BAT Search Algorithm for Power System Stabilizers Design in Multimachine System
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BAT Search Algorithm for Power System Stabilizers Design in Multimachine System

机译:多机系统电力系统稳定器设计的BAT搜索算法

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摘要

A new metaheuristic method, the BAT search algorithm based on the echolocation behaviour of bats is proposed in this paper for optimal design of Power System Stabilizers (PSSs) in a multimachine environment. The PSSs parameter tuning problem is converted to an optimization problem which is solved by BAT search Algorithm. An eigenvalues based objective function involving the damping factor, and the damping ratio of the lightly damped electromechanical modes is considered for the PSSs design problem. The performance of the proposed BAT based PSSs (BATPSS) has been compared with Genetic Algorithm (GA) based PSSs (GAPSS) and the Conventional PSSs (CPSS) under various operating conditions and disturbances. The results of the proposed BATPSS are demonstrated through time domain analysis, eigenvalues and performance indices. Moreover, the results are presented to demonstrate the robustness of the proposed algorithm over the GA and conventional one.
机译:提出了一种新的启发式方法,即基于蝙蝠回声定位行为的BAT搜索算法,用于多机环境下的电力系统稳定器(PSS)的优化设计。将PSSs参数调整问题转换为优化问题,该问题可以通过BAT搜索算法解决。对于PSSs设计问题,考虑了基于特征值的目标函数,该目标函数涉及阻尼因子,以及轻阻尼机电模式的阻尼比。在各种操作条件和干扰下,已将基于BAT的PSS(BATPSS)与基于遗传算法(GA)的PSS(GAPSS)和常规PSS(CPSS)的性能进行了比较。通过时域分析,特征值和性能指标证明了拟议的BATPSS的结果。此外,结果被提出来证明所提出的算法在遗传算法和常规算法上的鲁棒性。

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