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Optimal location of STATCOM in multimachine power system for increasing loadability by Cuckoo Search algorithm

机译:使用Cuckoo搜索算法在多机电源系统中STATCOM的最佳位置以增加负载能力

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摘要

A new metaheuristic method, the Cuckoo Search (CS) algorithm, based on the life of a bird family is proposed in this paper for optimal design of static synchronous compensator (STATCOM) in a multimachine environment. PV curves are illustrated to determine the best location of STATCOM. The STATCOM parameter tuning problem is converted to an optimization problem which is solved by CS Algorithm. The performance of the proposed CS based STATCOM (CSSTATCOM) is compared with Genetic Algorithm (GA) based STATCOM (GASTATCOM) and open loop STATCOM under various operating conditions and disturbances. The superiority of the proposed technique in damping oscillations and enhancing voltage profiles is confirmed through eigenvalues and time domain simulation results over the GA and open loop one. (c) 2016 Elsevier Ltd. All rights reserved.
机译:针对多机环境下的静态同步补偿器(STATCOM)的优化设计,本文提出了一种基于鸟族生活的新的启发式方法,即杜鹃搜索(CS)算法。图示了PV曲线以确定STATCOM的最佳位置。 STATCOM参数调整问题转化为优化问题,可以通过CS算法解决。将所提出的基于CS的STATCOM(CSSTATCOM)的性能与基于遗传算法(GA)的STATCOM(GASTATCOM)和开环STATCOM在各种工作条件和干扰下的性能进行了比较。通过GA和开环一的特征值和时域仿真结果,证实了所提出技术在阻尼振荡和增强电压曲线方面的优越性。 (c)2016 Elsevier Ltd.保留所有权利。

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