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首页> 外文期刊>Neurocomputing >Simultaneous coordinated design of PSS and SSSC using improved Lozi map based chaotic optimization algorithm (ILCOA)
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Simultaneous coordinated design of PSS and SSSC using improved Lozi map based chaotic optimization algorithm (ILCOA)

机译：使用改进的基于Lozi映射的混沌优化算法（ILCOA）进行PSS和SSSC的同时协调设计

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摘要

Due to having such features as easy implementation, short running time and robust mechanisms to escape local minimums, the Lozi map-based Chaotic Optimization Algorithm (LCOA) has attracted researchers' attention as a new stochastic search algorithm. Using a modified version of Lozi map, an Improved Lozi map-based Chaotic Optimization Algorithm (ILCOA) with such features as higher stability, better escaping from the local minima, more robustness to search space size, and finer performance in comparison to the LCOA is proposed in this work. Further, the proposed ILCOA is tested; it is employed to solve a single-machine Power System Stabilizer (PSS) design problem and its promising features in comparison with LCOA are highlighted. Later on, the coordinated design problem of PSS and Static Synchronous Series Compensator (SSSC) damping controllers in a four-machine two-area benchmark system is formulated as an optimization problem with the time domain-based objective function which is solved by both the LCOA and the ILCOA. The results show that the proposed controllers can effectively improve the power system dynamic stability. The superiority of the ILCOA over the LCOA and PSO is also demonstrated.
机译：由于具有易于实现，运行时间短和逃避局部极小值的强大机制等特点，基于Lozi地图的混沌优化算法（LCOA）作为一种新型的随机搜索算法吸引了研究人员的注意。与LCOA相比，使用经过改进的Lozi地图版本，具有改进的基于Lozi地图的混沌优化算法（ILCOA）具有更高的稳定性，更好的局部极小转义，对搜索空间大小的更鲁棒性以及更佳的性能。在这项工作中提出的。此外，对提议的ILCOA进行了测试；它用于解决单机电源系统稳定器（PSS）设计问题，并且与LCOA相比，它具有突出的功能。随后，将四机两区域基准系统中的PSS和静态同步串联补偿器（SSSC）阻尼控制器的协调设计问题表述为基于时域目标函数的优化问题，这两个问题都由LCOA解决和ILCOA。结果表明，所提出的控制器可以有效地提高电力系统的动态稳定性。还证明了ILCOA优于LCOA和PSO。

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