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

A. Basati, M. Menhaj, A. Fakharian
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引用次数: 12

Abstract

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.
基于遗传算法的孤岛直流微电网电压调节和均分的最优下垂控制方法
本文提出了一种孤岛直流微电网中分布式代(dg)之间的均衡功率共享控制方法。设计了一种基于遗传算法的DC/DC Boost功率变换器最优下垂控制方法。这种方法可以帮助我们最小化成本函数,以便在尽可能低的功率损耗的同时改善电压调节。该方法只需要局部输出信息;因此保留了传统下垂控制的优点。将所提出的最优下垂方法与传统下垂方法的性能进行了比较,并在MATLAB/ SimPowerSystems软件中进行了仿真,进一步验证了其性能。该方法在最小和最大负载值之间变化的情况下,在母线稳压和等功率分担方面优于传统的下垂控制。这种方法的另一个优点是它对网络数学模型的依赖性较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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