PV System Integration Assessment by Automated Monte Carlo Simulation in DIgSILENT PowerFactory

V. Starčević, Č. Zeljković, Nemanja Kitić, Predrag Mršić, Bojan Erceg, Vedran Jovanovic
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引用次数: 1

Abstract

In recent years, the number of requests for connection of PV systems to the medium voltage distribution network has been significantly increasing. In order to approve a connection, it is necessary to comprehensively consider the integration impacts on the grid. In this paper, a two-step quasi-dynamic network simulation in DIgSILENT PowerFactory automated by Python scripting is proposed. In the first step, based on statistics of meteorological parameters and consumer load profiles, long-term hourly sequences of PV system power production and load of all consumers were artificially generated. In the second step, a Monte Carlo simulation applied to IEEE 33-bus system with an integrated PV system was performed. As illustrative results, the voltage profile and active power losses are shown and discussed.
基于自动化蒙特卡罗仿真的DIgSILENT PowerFactory光伏系统集成评估
近年来,我国对光伏系统接入中压配电网的要求越来越多。为了批准并网,需要综合考虑并网对电网的影响。本文提出了一个在DIgSILENT PowerFactory中采用Python脚本实现的两步准动态网络仿真。第一步,在统计气象参数和用户负荷概况的基础上,人工生成光伏系统发电量和各用户负荷的长期小时序列。第二步,对集成光伏系统的IEEE 33总线系统进行了蒙特卡罗仿真。作为示例性结果,给出并讨论了电压分布和有功功率损耗。
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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