2014Unpublished venueRequires access

Reactive power optimizatin of distribution network based on primal-dual interior point method and simplified branch and bound method

Yun Wang, Quanyuan Jiang

Open publisher page 8 citations

Abstract

Reactive power optimization is a complex mixed integer nonlinear programming (MINLP) problem. An application of primal-dual interior point method and simplified branch-bound method in reactive power optimization is proposed in this paper. Primal-dual interior point method is applied for the solution of the relaxed nonlinear programming problems and branch-bound method is applied to deal with the discrete variations. Further, a simplified branch-bound method is proposed to reduce the computational time while still getting relative optimal solution. Two test studies show that the proposed algorithm is effective to solve reactive power optimization problems.

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What this paper is about

Reactive power optimization is a complex mixed integer nonlinear programming (MINLP) problem. An application of primal-dual interior point method and simplified branch-bound method in reactive power optimization is proposed in this paper. Primal-dual interior point method is applied for the solution of the relaxed nonlinear programming problems and branch-bound method is applied to deal with the discrete variations. Further, a simplified branch-bound method is proposed to reduce the computational time while still getting relative optimal solution. Two test studies show that the proposed algorithm is effective to solve reactive power optimization problems.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Reactive power optimization is a complex mixed integer nonlinear programming (MINLP) problem. An application of primal-dual interior point method and simplified branch-bound method in reactive power optimization is proposed in this paper. Primal-dual interior point method is applied for the solution of the relaxed nonlinear programming problems and branch-bound method is applied to deal with the discrete variations. Further, a simplified branch-bound method is proposed to reduce the computational time while still getting relative optimal solution. Two test studies show that the proposed algorithm is effective to solve reactive power optimization problems.

Key concepts: Interior point method, Nonlinear programming, Mathematical optimization, Branch and bound, AC power, Linear programming, Upper and lower bounds, Dual (grammatical number)

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