Optimal Power Flow for Distribution System using Gradient-Based Optimizer

Sanket Raval, Thangadurai Natarajan
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引用次数: 0

Abstract

In the distribution network, DG penetration increases prominently, and has altered the nature of the distribution network into an active and passive network. DISCOMs/DSOs are incorporating all kinds of DGs, including non-renewables and renewables now a day. If DGs are planned and controlled adequately, then it improves voltage deviation, reduces active power loss, and leads to the economic operation of the active distribution network. Efficient operation of the distribution network can be achieved by solving optimal power flow. In this work, optimal power flow (OPF) for a modified IEEE-69 bus distribution network with DGs is formulated and solved using Gradient Based Optimizer (GBO) in MATLAB 2021a. OPF is solved with objectives to minimize fuel cost, voltage profile improvement, and active power losses. The performance of GBO is compared with other state of art algorithms (PSO, ABC, GWO, and JANA). Performance analysis proves the efficacy and capability to solve real-world problems of GBO over other state of art algorithms.
基于梯度优化器的配电系统潮流优化
在配电网中,DG的渗透率显著提高,使配电网的性质发生了主动和被动的变化。discom / dso正在整合各种dg,包括不可再生能源和可再生能源。如果对配电系统进行合理的规划和控制,可以改善电压偏差,降低有功损耗,使有功配电网经济运行。通过求解最优潮流,可以实现配电网的高效运行。本文利用MATLAB 2021a中基于梯度优化器(Gradient Based Optimizer, GBO)求解了带有dg的改进型IEEE-69母线配电网的最优潮流(OPF)。OPF的目标是最大限度地降低燃料成本,改善电压分布,减少有功功率损耗。将GBO的性能与其他最先进的算法(PSO, ABC, GWO和JANA)进行了比较。性能分析证明了GBO比其他最先进的算法解决实际问题的有效性和能力。
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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CiteScore
1.70
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