Multiobjective optimal allocation of capacitors in distribution systems: A new heuristic technique based on reduced search space regions and genetic algorithms

In this paper, the problem of the optimal allocation and sizing of capacitors in unbalanced distribution systems is formulated as a multi-objective optimization problem. This problem is solved by means of the epsiv-constrained technique. Besides, some methods for determining a reduced feasible region and a micro genetic algorithm are used. The solving method proposed is tested on the IEEE 34-node unbalanced distribution system in order to demonstrate the effectiveness of the approaches in terms of reduced computational efforts and accuracy of the results.