Paper Info
Title
A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem
Abstract
In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. The optimal VAR dispatch problem is formulated as a nonlinear constrained multiobjective optimization problem where the real power loss and the bus voltage deviations are to be minimized simultaneously. A new Strength Pareto Evolutionary Algorithm (SPEA) based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and noncommensurable objectives. A hierarchical clustering algorithm is imposed to provide the decision maker with a representative and manageable Pareto-optimal set. The results demonstrate the capabilities of the proposed approach to generate true and well-distributed Pareto-optimal nondominated solutions in one single run. The results also show the superiority of the proposed approach and confirm its potential to solve the multiobjective VAR dispatch problem.
Year
DOI
Venue
2003
10.1109/ICECS.2003.1301691
Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference
Keywords
DocType
Volume
Pareto optimisation,evolutionary computation,power generation dispatch,reactive power control,bus voltage deviations,competing objectives,hierarchical clustering algorithm,multiobjective evolutionary algorithm,noncommensurable objectives,nonlinear constrained optimization,optimal reactive power dispatch problem,reactive power control,real power loss,strength Pareto evolutionary algorithm
Conference
3
ISBN
Citations 
PageRank 
0-7803-8163-7
4
0.52
References 
Authors
3
2
Name
Order
Citations
PageRank
M. A. Abido110616.69
Jamil M. Bakhashwain240.52