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Adaptive modified firefly algorithm for optimal coordination of overcurrent relays

机译:自适应改进的萤火虫算法,用于过电流继电器的最佳协调

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One major concern in using over current relays (OCRs) is their coordination in power system protection to decrease the pressure of electrical equipment and avoid mal-trip in the primary and backup relays. The issue has recently become more challenging with the increasing use of distributed generation (DG). This study proposes the use of firefly algorithm (FA) to achieve an optimised coordination of OCRs in power system protection when DG is present in the system. Typically, the FA is done by selecting plug setting and time setting multiplier parameters. However, the algorithm associated with such method requires a long convergence time and has the risk of getting trapped in local optima. Therefore, an adaptive modified FA (AMFA) has been developed to overcome these issues and obtain the optimised coordination of OCRs. The AMFA is tested in five case studies of a power system with DG whose results are then compared with those obtained from the conventional and FA methods. The results demonstrate that the proposed AMFA is able to achieve the optimised coordination of OCRs in all test cases with significant improvement in time reduction reaching 40.446%.
机译:使用过电流继电器(OCR)的一个主要问题是它们在电力系统保护中的协调作用,以降低电气设备的压力并避免主继电器和备用继电器发生误跳闸。随着分布式发电(DG)的使用越来越多,这个问题最近变得更具挑战性。本研究提出,当系统中存在DG时,使用萤火虫算法(FA)来实现电力系统保护中OCR的优化协调。通常,通过选择插头设置和时间设置乘数参数来完成FA。但是,与这种方法相关的算法需要较长的收敛时间,并且有陷入局部最优的风险。因此,已经开发了一种自适应改进的FA(AMFA)以克服这些问题并获得OCR的优化协调。在具有DG的电力系统的五个案例研究中测试了AMFA,然后将其结果与从常规方法和FA方法获得的结果进行了比较。结果表明,所提出的AMFA能够在所有测试案例中实现OCR的优化协调,并且时间减少显着改善,达到40.446%。

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