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GA-based optimal droop control approach to improve voltage regulation and equal power sharing for islanded DC microgrids

机译:基于GA的最优下垂控制方法,提高岛DC微电网的电压调节和等功率共享

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This paper presents an equal power sharing control approach, between Distributed Generations (DGs) in islanded DC Microgrids. An optimal droop control approach for DC/DC Boost power converter is designed based on Genetic Algorithm (GA). This approach helps us to minimize the cost function in order to improve voltage regulation while the power loss is low as much as possible. The proposed method only requires local output information; hence the advantages of traditional droop control are preserved. The performance of the proposed optimal droop method is compared with that of the traditional droop method and its out performance is further verified by simulation in MATLAB/ SimPowerSystems Software. This approach is better than the traditional droop control in bus voltage regulation and equal power sharing, under load changing between minimum and maximum load values. Another advantage of this approach is its lower dependence on the mathematical model of the network.
机译:本文介绍了孤岛DC微电网中分布式代代(DGS)之间的平等权力共享控制方法。基于遗传算法(GA)设计了DC / DC升压功率转换器的最佳下垂控制方法。这种方法有助于我们尽量减少成本函数,以便在功率损耗尽可能低时提高电压调节。所提出的方法仅需要本地输出信息;因此,保留了传统的下垂控制的优点。建议的最佳下垂方法的性能与传统的下垂方法的性能进行了比较,并且通过Matlab / SimPowersystems软件的仿真进一步验证了其外部性能。这种方法优于母线电压调节中的传统下垂控制和等于电源共享,在最小和最大负载值之间的负载变化下。这种方法的另一个优点是它对网络的数学模型的依赖性较低。

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