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Optimal Allocation of Wind Based DG for Enhancement of Technical, Economic and Social Benefits using Jaya Algorithm for Radial Distribution Networks

机译:利用JAYA算法对径向分布网络的技术,经济和社会效益增强的最优分配

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The active power losses in a radial distribution network are higher than transmission network due to high R/X ratio. The depletion of fossil fuel-based resources is one of the growing concerns for the network operators. The harmful pollutants from fossil fuels is a major threat to the environment. Thus, in this period of energy crisis, renewable energy resources like PV, wind are very good alternative to meet up energy demand. This paper presents improvement of a constrained multi-objective function based on voltage stability, economy and emission using Jaya Algorithm for wind energy integrated radial distribution network. Wind based distributed generators (DG) are injected at single, double and triple points of standard IEEE 33 bus and 85 bus test systems and the results have been compared with PSO and its different variants.
机译:由于高R / X比,径向分配网络中的有效功率损耗高于传输网络。基于化石燃料资源的消耗是网络运营商日益增长的问题之一。化石燃料的有害污染是对环境的重大威胁。因此,在这种能源危机的时期,像光伏等可再生能源资源,风是非常好的替代方案,以满足能源需求。本文介绍了使用Jaya算法的电压稳定性,经济和排放来改善受限制的多目标函数,用于使用Jaya算法进行风能集成径向分布网络。基于风的分布式发电机(DG)注入标准IEEE 33总线的单个,双倍和三重点,并将结果与​​PSO及其不同的变体进行了比较。

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