Poboljšanje rada distributivne mreže u uslovima velikih opterećenja korišćenjem fotonaponskih i sistema za skladištenje energije

Nikola Krstić, Dragan Tasić, Dardan Klimenta
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Abstract

This paper considers the improvement of distribution network operation in high load conditions using photovoltaic (PV) and energy storage systems (ESS). Optimal locations and powers of PV systems and ESS, considering the improvement of distribution network operation, are determined by metaheuristic optimization method of genetic algorithm (GA), where losses in distribution network and its voltage profile are used as quality indicators for distribution network operation. Two approaches are used to determine the optimal power of PV system during the day, depending on the ratio of injected power into the network by the PV system and its maximum available power at a given time. Cases with different load distributions in the distribution network are analyzed, as well as the cases with different number of connected PV systems and ESS. Based on the obtained results, in addition to determining the level of distribution network operation improvement, conclusions are given regarding the impact of load diagram on the number, location and size of PV systems and ESS.
本文研究了利用光伏和储能系统来改善高负荷条件下配电网的运行。考虑到配电网运行的改善,采用遗传算法的元启发式优化方法确定光伏系统和ESS的最优位置和功率,并以配电网损耗及其电压分布作为配电网运行的质量指标。根据光伏系统在给定时间内向电网注入的功率与其最大可用功率的比值,采用两种方法确定光伏系统在白天的最优功率。分析了配电网中不同负荷分布的情况,以及不同光伏系统和ESS并网数量的情况。根据所得结果,除了确定配电网运行改善水平外,还得出了负荷图对光伏系统和ESS数量、位置和规模的影响结论。
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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