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基于拉格朗日对偶模型的潮流全局优化算法研究

刘建辉 钟毅

低压电器Issue(4):21-25,5.
低压电器Issue(4):21-25,5.DOI:10.16628/j.cnki.2095-8188.2019.04.004

基于拉格朗日对偶模型的潮流全局优化算法研究

Research on Global Optimization Algorithm of Power Flow Based on Lagrangian Duality Mode

刘建辉 1钟毅1

作者信息

  • 1. 广东电网有限责任公司 中山供电局,广东 中山 528400
  • 折叠

摘要

Abstract

This paper investigated a Lagrangian dual problem for solving the optimal power flow problem in rectangular form that arises from power system analysis.As strong duality does not hold for the dual, the paper proposed a branch-and-bound algorithms that guarantee to solve the problem to optimality.The lower bound for the objective function is obtained by the Lagrangian duality, whereas the feasible set subdivision is based on the ellipsoidal bisection.The numerical experiments are reported to demonstrate the effectiveness of the proposed algorithms.It is noted that no duality gap is observed for any of our test problems.

关键词

最优潮流/直角坐标/拉格朗日对偶模型/分支定界法

Key words

optimal power flow/rectangular coordinates/Lagrangian duality mode/branch-and-bound algorithm

分类

信息技术与安全科学

引用本文复制引用

刘建辉,钟毅..基于拉格朗日对偶模型的潮流全局优化算法研究[J].低压电器,2019,(4):21-25,5.

低压电器

1001-5531

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