Chaluvaiah Lakshminarayana and Malli R. Mohan
NSGA, load balancing, loss reduction, power distribution systems
The electric power service restoration problem is non-linear, combinatorial, non-differential and multi-objective optimization problem with several constraints. For the conversion of multi-objective functions into single objective function the traditional genetic algorithm use weighing factor which is not required in the proposed algorithm. In the post-fault distribution network the capacity of transformer/feeders creates a serious problem to the distribution substation engineers/operators in order to satisfy various operational constraints along with restoring power supply to the consumer localities. In this paper a non-dominated sorting genetic algorithm (NSGA) method for service restoration technique of electrical power distribution systems (EPDS) is presented. The developed algorithm is run on several distribution networks to check feasibility and has resulted in fast and effective convergence for efficient operational planning of the EPDS. Finally, test results using the three approaches (GA, EP, and NSGA) are carried out and compared.
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