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The distribution network planning considering distributed power supply and battery energy storage base on IMO-SLFA

机译:考虑IMO-SLFA的分布式电源和电池储能基础的分销网络规划

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Distributed generation (DG) and energy storage technology continue to be developed in power supply transformation. However, the difficulty of access to distributed power and battery energy storage stations makes the traditional distribution network planning method to be somewhat inadaptable. For this reason, this paper establishes a distribution network planning model with a power distribution station, substation, distribution network line, DG and battery energy storage station considered. The objective function of the model is to minimize the construction cost and maintenance cost during the distribution network planning period, and the constraint conditions take into consideration the operation reliability of the power system. Based on this, an improved multi-objective shuffled frog leaping algorithm (IMO-SLFA) was used for sample validation. According to the results, the model can effectively solve the expansion planning problem of a distribution network for several years, and then meet the access demand of DG and battery energy storage stations and the demand of load growth within a certain region. In a word, this paper has guiding significance for the long-term planning of a distribution network and the access of distributed power to the grid.
机译:分布式发电(DG)和储能技术继续在电源变换中开发。然而,访问分布式电力和电池能量存储站的难度使得传统的分销网络规划方法有所期待。因此,本文建立了具有配电站,变电站,分配网线,DG和电池储能站的配电网络规划模型。该模型的客观函数是在分销网络规划期间最小化建筑成本和维护成本,并考虑到电力系统的操作可靠性。基于这一点,使用改进的多目标随机跨越青蛙跨越算法(IMO-SLFA)进行样品验证。根据结果​​,该模型可以有效地解决了多年来分配网络的扩展规划问题,然后满足DG和电池能量存储站的访问需求以及某个区域内的负载增长的需求。总之,本文对分销网络的长期规划和分布式电力的访问具有指导意义。

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