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Optimal operation of distribution network considering renewable energy sources by binary particle swarm optimization and fuzzy theory

机译:基于二元粒子群算法和模糊理论的可再生能源配电网优化运行

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摘要

Today, the development of telecommunications infrastructure has led to rapid exchange of data between the distribution network components and the control center. On the other hand, renewable energy sources (RES) are increasing due to deregulation and restructuring in power systems, global warming and reduction of fossil fuels. These sources are connected to the distribution network therefore behavior of these networks will change. One of the most important problems is the optimal operation of the distribution network including renewable energy sources. Optimal operation of distribution network is a mixed integer, nonlinear and multi-objective problem. Therefore in this paper, binary particle swarm optimization and fuzzy set theory are used for solved the problem. Finally, a practical distribution test system is used to investigate the feasibility and effectiveness of the proposed method.
机译:如今,电信基础设施的发展已导致配电网络组件和控制中心之间的数据快速交换。另一方面,由于电力系统的放松管制和重组,全球变暖和化石燃料的减少,可再生能源(RES)也在增加。这些源连接到配电网络,因此这些网络的行为将发生变化。最重要的问题之一是包括可再生能源在内的配电网络的最佳运行。配电网的最优运行是一个整数,非线性和多目标的混合问题。因此,本文采用二进制粒子群算法和模糊集理论来解决该问题。最后,使用一个实用的分布测试系统来研究该方法的可行性和有效性。

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