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PV farm placement and sizing using GA for area development plan of distribution network

机译：利用遗传算法对配电网区域开发计划进行光伏农场布局和规模确定

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Electricity network with the concept of Distributed Generation (DG) is growing rapidly. The rapid development is caused by factors such as environmental issues, the restructuring of the electricity market, and the development of small-scale power plant technology. This paper proposes a method of determining the location and capacity of Distributed Generation Photovoltaic (PV-DG) in PV farm system using Genetic Algorithms (GA). And also to calculate power generation and active/reactive power losses. The method proposed is intended to improve voltage stability and power losses in the distribution network. The proposed method is tested on a standard distribution system IEEE 30 bus with three units of DG. Optimization results showed 12.81% reduction in power losses and bus voltage between 1.05 to 0.96 pu.
机译：具有分布式发电（DG）概念的电网正在迅速发展。快速发展是由诸如环境问题，电力市场的重组以及小型电厂技术的发展等因素引起的。本文提出了一种利用遗传算法（GA）确定光伏发电系统中分布式光伏发电装置（PV-DG）的位置和容量的方法。并计算发电量和有功/无功损耗。提出的方法旨在改善配电网络中的电压稳定性和功率损耗。所提出的方法在具有三个DG的标准配电系统IEEE 30总线上进行了测试。优化结果表明，功率损耗和总线电压在1.05至0.96 pu之间降低了12.81％。

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