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Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution network

机译:考虑配电网性能改进的太阳能和风能分布式发电的最优组合

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Renewable energy sources are gaining more and more interest because they are nonpolluting and sustainable. Recently, a notable number of renewable distributed generations (DGs) having intermittent generation patterns are being interconnected with the distribution network to meet growing load demand and nullify environmental threats. Appropriate integration of renewable DGs in distribution networks is crucial to guarantee the qualitative network operational benefits. In this paper a simple but efficient approach has been proposed for optimal placement and sizing of solar and wind DGs in distribution territory by considering electrical network power loss minimization, voltage stability and network security improvement. The stochastic nature of solar irradiance and wind speed are accounted using suitable probabilistic models. Weighted aggregation particle swarm optimization technique is employed to optimize the objective functions considering bus voltage limit, line loading capacity, discrete size limit and penetration constraints of DGs. Strategic weight selection technique has been adopted to assess the well trade-off solution by persuasion of multiple objectives regarding the performance of distribution network. The proposed method has been applied to a typical Indian rural distribution network, and the satisfactory results are obtained. (C) 2014 Elsevier Ltd. All rights reserved.
机译:由于可再生能源无污染且可持续,因此越来越受到人们的关注。近来,具有间歇式发电模式的大量可再生分布式发电(DG)正在与配电网络互连,以满足不断增长的负荷需求并消除环境威胁。在配电网中适当集成可再生DG至关重要,这对于确保定性的网络运营收益至关重要。本文提出了一种简单而有效的方法,通过考虑电网功耗的最小化,电压稳定性和网络安全性的提高,来优化配电领域的太阳能和风电DG的布局和规模。太阳辐照度和风速的随机性使用合适的概率模型来解释。加权聚合粒子群优化技术用于优化目标函数,考虑总线电压极限,线路负载能力,离散尺寸极限和DG的穿透约束。已采用战略权重选择技术,通过说服有关配电网络性能的多个目标来评估油井权衡解决方案。该方法已应用于典型的印度农村分销网络,并获得了满意的结果。 (C)2014 Elsevier Ltd.保留所有权利。

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