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基于二阶锥优化的含有载调压变压器主动配电网最优潮流

刘斌 刘锋 梅生伟 张雪敏

电力系统自动化Issue(19):40-47,8.
电力系统自动化Issue(19):40-47,8.DOI:10.7500/AEPS20150104003

基于二阶锥优化的含有载调压变压器主动配电网最优潮流

Optimal Power Flow in Active Distribution Networks with On-load Tap Changer Based on Second-order Cone Programming

刘斌 1刘锋 2梅生伟 1张雪敏2

作者信息

  • 1. 清华大学电机工程与应用电子技术系,北京市 100084
  • 2. 电力系统及发电设备控制和仿真国家重点实验室,清华大学,北京市 100084
  • 折叠

摘要

Abstract

With increasing distribution generation resources integrated,the power distribution network has become an active distribution network(ADN) with definite controllability and its optimal operation is essentially an optimal power flow (OPF) problem with various discrete controllable devices.However,owing to the nonconvexity and nonlinearity of the model,a highly efficient method of solving this kind of problem is the focus of this area.Since the on-load tap changer (OLTC) is an important controllable device in ADN,its strategy has a significant influence on power system operation,especially at the voltage level.Therefore,developing highly efficient methods to solve OPF problems in ADN with OLTC is exceedingly necessary.Based on the branch flow model,an OPF model with OLTC in ADN is developed.An exact linearization modeling method for OLTC using piecewise linear technique is proposed,and the applicability of a second-order cone relaxation method for solving the corresponding OPF problem is demonstrated.A case study based on the modified IEEE system shows the effectiveness of the proposed modeling method of OLTC and the high efficiency of the second-order cone relaxation method in solving the OPF problem in ADN with OLTC.

关键词

主动配电网/有载调压变压器/最优潮流/分段线性化/二阶锥松弛/支路潮流模型

Key words

active distribution network/on-load tap changer (OLTC)/optimal power flow (OPF)/piecewise linearization/second-order cone relaxation/branch flow model

引用本文复制引用

刘斌,刘锋,梅生伟,张雪敏..基于二阶锥优化的含有载调压变压器主动配电网最优潮流[J].电力系统自动化,2015,(19):40-47,8.

基金项目

国家自然科学基金资助项目(51321005) (51321005)

中国电力科学研究院院士团队合作项目(5202011304HH) (5202011304HH)

国家重点基础研究发展计划(973计划)资助项目(2013CB2282010)。This work is supported by National Natural Science Foundation of China (No.51321005),Special Grant Program of China Electric Power Research Institute(No.5202011304HH),and National Basic Research Program of China(973 Program)(No.2013CB2282010) (973计划)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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