A generalised three phase power flow algorithm incorporating the uncertainty of Photo Voltaic(PV) source for unbalanced distribution network

K. Maya, E. A. Jasmin
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引用次数: 6

Abstract

With the ever increasing demand for electrical power and growing environmental concerns, the Distributed Generation(DG) technologies are finding their pivotal roles in the electric power industry. Power Flow Studies play a vital role in planning the future expansion of power system as well as for deciding the optimum operation of the existing power system. The uncertain and unbalanced nature of DG sources demand unbalanced power flow studies for analysing the DG integrated distribution system. DG sources such as Photo Voltaic(PV) installed in a distribution network are the major concern in this study. The randomness associated with the power production from the PV source should be modeled as a multistate variable in the power flow studies. The paper presents an unbalanced power flow algorithm based on the current summation method for the distribution system with the photovoltaic source. The uncertainty associated with the solar irradiance is modeled using Beta Probability Distribution Function(Beta PDF). The proposed algorithm is validated with IEEE 13 bus distribution feeder.
不平衡配电网中考虑光伏电源不确定性的广义三相潮流算法
随着电力需求的不断增长和环境问题的日益严重,分布式发电技术在电力工业中发挥着举足轻重的作用。潮流研究对于规划未来电力系统的扩展和确定现有电力系统的最佳运行具有重要作用。分布式电源的不确定性和不平衡特性要求对分布式综合配电系统进行不平衡潮流研究。安装在配电网中的光伏(PV)等DG来源是本研究的主要关注点。在潮流研究中,与光伏发电相关的随机性应被建模为多状态变量。本文提出了一种基于电流求和法的带光伏电源配电系统不平衡潮流算法。与太阳辐照度有关的不确定性用概率分布函数(Beta PDF)建模。该算法在IEEE 13总线馈线上得到了验证。
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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