Optimal DG penetration rate planning based on S-OPF in active distribution network

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• 作者：Chunfeng Wei^aAuthor Vitae ; Yang Fu^a ; ^{mfudong@126.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Zhenkun Li^aAuthor Vitae ; Yiliu Jiang^bAuthor Vitae
• 关键词：Active distribution network (ADN) ; Stochastic optimal power flow (S-OPF) ; Integration mode ; Integration index ; Monte Carlo Simulation ; Hourly sequential model
• 刊名：Neurocomputing
• 出版年：2016
• 出版时间：22 January 2016
• 年：2016
• 卷：174
• 期：part_PA
• 页码：514-521
• 全文大小：714 K

文摘

Active distribution network (ADN) is an indispensable content of smart distribution network under smart grid framework. On the basis of integration modes study, an economy optimal model of DG integration from a DSO perspective is proposed and three DG integration indexes are defined, respectively, integration ratio, GC ratio and adjustable power factor. The hourly sequential model is adopted to simulate load and DG uncertainties and a method of DG optimal integration based on stochastic optimal power flow (S-OPF) is presented. According to different integration modes, the principle of initialization and conversion of DG bus type in optimal power flow calculation is discussed. Monte Carlo Simulation aiming to get expected value and variance of network parameter precisely is used in stochastic power flow. Combining actual connection mode of Shanghai distribution network, a Shanghai 48 bus test system is built for ADN research. The influence of integration indexes on economy in two scenarios is analyzed and some useful conclusions are achieved.