Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/61962
Title: Constrained multiobjective global optimisation of longitudinal interconnected power system by genetic algorithm
Authors: Xu, J.X. 
Chang, C.S. 
Wang, X.W.
Keywords: Constrained multiobjective global optimisation
Genetic algorithm
Longitudinal interconnected power system
Issue Date: 1996
Source: Xu, J.X.,Chang, C.S.,Wang, X.W. (1996). Constrained multiobjective global optimisation of longitudinal interconnected power system by genetic algorithm. IEE Proceedings: Generation, Transmission and Distribution 143 (5) : 435-446. ScholarBank@NUS Repository.
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. © IEE, 1996.
Source Title: IEE Proceedings: Generation, Transmission and Distribution
URI: http://scholarbank.nus.edu.sg/handle/10635/61962
ISSN: 13502360
Appears in Collections:Staff Publications

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