Title :
Constrained multiobjective global optimisation of longitudinal interconnected power system by genetic algorithm
Author :
Xu, J.X. ; Chang, C.S. ; Wang, X.W.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
fDate :
9/1/1996 12:00:00 AM
Abstract :
A genetic-based algorithm is proposed to solve the multiobjective global optimisation problem of a longitudinal interconnected power system, which incorporates various constraints during the optimisation of dispatch solution with two objectives in mind: economic and environmental requirements. 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 :
economics; environmental factors; genetic algorithms; load dispatching; power system interconnection; constrained multiobjective global optimisation; dispatch solution; economic requirements; environmental requirements; genetic algorithm; longitudinal interconnected power system; multiple fuels; multiple pollutants; three-area test system;
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
DOI :
10.1049/ip-gtd:19960418
