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Application of Distributed Generation for Optimization of Voltage Levels in Power Electric Systems with Active-Adaptive Network Based on Genetic Algorithm

机译:分布式发电在基于遗传算法的主动自适应网络中电力系统电压电平优化的应用

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The main task of modern electric networks is the reliability of electricity supply to consumers, as well as in optimizing voltage levels. One of the possible measures to increase reliability is the construction of a rational topology of the electrical network and the use of distributed generation in the form of alternative sources of electricity. Such networks allow you to dynamically adjust the parameters of elements to optimize normal and emergency modes of operation. In this article, a simulation model of a fragment of an active-adaptive network (an electrical network with actively-adaptive elements) under the conditions of distributed generation (DG) application is considered. Normal mode calculations for the two network variants in the RastrWin modeling system were performed. The performed calculations made it possible to obtain an estimate of the voltage levels on the tires of final consumers. The results of such studies can find application in the development of new information and computer systems for controlling the operation modes of an electrical network with actively-adaptive elements.
机译:现代电网的主要任务是消费者的电力供应的可靠性,以及优化电压水平。增加可靠性的可能措施之一是建造电网的Rational拓扑,以及以替代电力源的形式使用分布式发电。这些网络允许您动态调整元素的参数以优化正常和紧急操作模式。在本文中,考虑在分布式发电(DG)应用条件下,在分布式发电(DG)应用条件下的主动自适应网络(电气网络)片段的模拟模型。执行了RASTRWIN建模系统中的两个网络变体的正常模式计算。执行的计算使得可以获得最终消费者轮胎上的电压电平的估计。这些研究的结果可以在开发新信息和计算机系统中的应用,以控制具有主动自适应元件的电气网络的操作模式。

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