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Optimal Allocation for Photovoltaic/ Wind Turbine Applying A Hybrid Butterfly Genetic Algorithm

机译:杂交蝴蝶遗传算法的光伏/风力涡轮机的最优分配

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摘要

In this paper, optimal load flow is required to minimize the power losses in radial distribution systems. Load flow in power systems is used to calculate voltage at each node under different conditions in addition to determining all losses in radial network. Applying Backward/forward sweep load flow method. The objective of the optimal load flow is to reduce system losses by integrating (DGs). Applying Renewable DGs are strongly recommended because of its reliability and safe operations compared to fuels used for generating electricity. The DGs are composed of PV/Wind turbine to compensate the active power while capacitors are utilized to compensate reactive power. Genetic algorithm, and butterfly technique are applied and combined as an optimization technique to decide the optimal sizes/locations of DG-units to be placed in the radial-distribution networks. The results are tested on the “IEEE 69-bus” test networks to validate the proposed algorithms.
机译:在本文中,需要最佳载荷流动,以最小化径向分布系统中的功率损耗。除了确定径向网络中的所有损耗之外,电源系统中的负载流量用于在不同条件下计算每个节点的电压。应用后/前扫描载荷法。最佳负载流量的目的是通过集成(DGS)来降低系统损耗。由于其可靠性和安全运行而与用于发电电力的燃料相比,强烈建议使用可再生DGS。 DGS由PV /风力涡轮机组成,以补偿电容器的电力电源以补偿无功功率。遗传算法和蝴蝶技术被应用和组合作为优化技术,以确定要放置在径向分布网络中的DG单元的最佳尺寸/位置。结果在“IEEE 69总线”测试网络上测试以验证所提出的算法。

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