Coordinated Optimization of Active Power and Reactive Power in Distribution Network Based on Scenario Method

被引：0

作者：

Zheng N. ^{[1
]}

Ding X. ^{[2
]}

Guan Z. ^{[3
]}

Hu R. ^{[2
]}

Miao H. ^{[2
]}

机构：

[1] State Grid Luzhou Power Supply Company, Luzhou, 646000, Sichuan Province

[2] College of Energy and Electrical Engineering, Hohai University, Nanjing, 211100, Jiangsu Province

[3] State Grid Yangzhou Power Supply Company, Yangzhou, 225000, Jiangsu Province

来源：

Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 05期

关键词：

Coordinated optimization of active power and reactive powers; Distribution network; Renewable energy; Scenario method; The second order cone relaxation;

D O I：

10.13335/j.1000-3673.pst.2018.1082

中图分类号：

学科分类号：

摘要：

Increase of proportion of renewable energy, such as wind power and photovoltaics, integrated into distribution network, brings large challenges to operation and control of distribution network. Considering wind power, photovoltaic generation and storage, and combining the three-order polynomial normal transform (TPNT) with Latin hypercube sampling (LHS) to consider uncertainty of random variables and relation with prediction error of wind speed and solar irradiance, synchronous back reduction (SBR) method is used to reduce scenarios to improve calculation efficiency, and a coordinated optimization model of active and reactive powers in distribution network is established based on scenario method. The second order cone relaxation (SOCR) and big M method are used to transform the mixed integer nonlinear programming model (MINLP) into a mixed integer second- order cone programming (MISOCP) model, which can be solved with existing softwares such as MOSEK solver. The improved IEEE 33-node system is taken as an example for simulation with results confirming accuracy and rationality of the proposed algorithm. © 2019, Power System Technology Press. All right reserved.

引用

页码：1640 / 1649

页数：9

共 25 条

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