Active Distribution Network Planning Considering Economy and Reliability Based on Uncertain Network Theory

被引：0
|
作者：
Li Y. [1 ]
Hu Z. [1 ]
Zhang M. [2 ]
Xie S. [1 ]
He R. [1 ]
机构：
[1] School of Electrical Engineering, Wuhan University, Wuhan
[2] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 16期
基金：
高等学校博士学科点专项科研基金;
关键词：
Active distribution network; Second order cone programming; Two-stage reliability; Uncertain network;
D O I：
10.7500/AEPS20180602004
中图分类号：
学科分类号：
摘要：
An expansion planning model of active distribution network based on uncertain network theory is proposed. Firstly, the probabilistic uncertainty set of characteristics is determined considering the time correlation between load and distributed generator output. Secondly, the economical sub-planning model is proposed to coordinate the upgrade, new-built and active distribution management of the equipment, including distributed generator, network, static var compensation (SVC) device, substation and on-load tap changer (OLTC). The two-stage global optimal reliability method used for planning problem is put forward. To solve the proposed model quickly, the second order cone (SOC) relaxation algorithm is applied to transform the original models into mixed integer second order cone programming (SOCP) problems. The multi-stage uncertainty measurement distributions of economy and comprehensive reliability are obtained, which are taken as the weights of the network tree. Finally, the optimal planning scheme which is closest to the distribution of ideal network tree is searched by the minimum spanning tree theory in uncertain networks. The effectiveness of the proposed model is validated by the modified IEEE 33-bus system and IEEE 69-bus system. © 2019 Automation of Electric Power Systems Press.
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页码：68 / 77
页数：9
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