Constrained multiobjective global optimisation of longitudinal interconnected power system by genetic algorithm

IEE Proceedings - Generation Transmission and DistributionPublished 1 January 1996

Jian‐Xin Xu, C.S. Chang, Xianzhe Wang

DOI10.1049/ip-gtd:19960418

Citations44

Abstract

A genetic-based algorithm is proposed to solve the multiobjective global optimisation problem of longitudinal interconnected power system, which incorporates various constraints during the optimisation of dispatch solution with two objectives in mind: economic and environmental. Its effectiveness is verified through a three-area test system with multiple fuels and multiple pollutants. Consequently, the results of the sample system are analysed to demonstrate the internal relationships among various constraints and objectives.

Keywords

EnergyEngineering

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