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Determining the optimum TMS and PS of overcurrent relays using the Firefly Algorithm for solving the relay coordination problem

机译:使用萤火虫算法来解决中继协调问题的萤火虫算法确定过电力继电器的最佳TMS和PS

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To determine optimal solutions, Artificial intelligence (AI) was used to a number of problems by evolutionary search and metaheuristic algorithms. They are being used in numerous problems related to modern power systems, such as economic load dispatch and coordination of relays. Overcurrent relays (OCRs) coordination is a major issue in the distribution system (DS) protection. To minimize the overall operating time of the relays and set the optimum values of the relay, the coordination should be done correctly. Make sure that when a fault happens, the least damage is incurred. The application of the firefly algorithm (FA) for optimal coordination of relays is presented in this paper. Using MATLAB, the algorithm was implemented and evaluated upon various systems, two of which are discussed in this work. The obtained results by the firefly algorithm (FA) and genetic algorithm (GA) are analyzed and compared.
机译:为了确定最佳解决方案,人工智能(AI)用于通过进化搜索和成群质算法对许多问题。 它们被用于与现代电力系统相关的许多问题,例如经济负担调度和继电器的协调。 过流继电器(OCRS)协调是分配系统(DS)保护中的一个主要问题。 为了最小化继电器的整体运行时间并设定继电器的最佳值,应正确完成协调。 确保发生故障时,会造成最少的损坏。 本文介绍了萤火虫算法(FA)以实现继电器的最佳协调。 使用MATLAB,在各种系统上实现和评估该算法,其中两个在这项工作中讨论。 通过萤火虫算法(FA)和遗传算法(GA)的获得结果进行了分析并进行比较。

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