Essential issues on solving optimal   power  flow problems using soft-computing

Kit Yan Chan; Changjun  Yu; Kok Lay Teo; Sven Nordholm

doi:10.3934/naco.2014.4.341

Article Contents

2014, Volume 4, Issue 4: 341-351. Doi: 10.3934/naco.2014.4.341

This issue Previous Article Minimax problems for set-valued mappings with set optimization Next Article

Essential issues on solving optimal power flow problems using soft-computing

1.
Department of Electrical and Computer Engineering, Curtin University, Perth
2.
Business School, Central South University, Changsha
3.
Department of Mathematics and Statistics, Curtin University, Perth

Received: July 2014

Revised: December 2014

Published: December 2014

Abstract / Introduction Related Papers Cited by

Abstract

Optimal power flow (OPF) problems are important optimization problems in power systems which aim to minimize the operation cost of generators so that the load demand can be met and the loadings are within the feasible operating regions of the generators. This brief paper emphasizes two essential issues related to solving the OPF problems and which are rarely addressed in recent research into power systems: 1) the necessity to validate operational constraints on OPF, which determine the feasibility of power systems designed for the OPF problems; and 2) and the necessity to develop conventional methods for solving OPF problems which can be more effective than the commonly-used heuristic methods.

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Mathematics Subject Classification: Primary: 90-08; Secondary: 49M37.

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