Distribution system loss minimization with network reconfiguration and cost-benefit price based demand reduction modeling

Abstract

The developments in distribution automation technologies and optimization algorithms have made realization of highly reconfigurable and flexible distribution system viable. This paper proposes grey wolf optimization algorithm (GWO) to generate best reconfigured topology of the system when grid is under stress condition. The solution is used in demand response program based on cost-benefit price models. The reconfiguration scheme integrated with presented game theoretic demand response program is intended at getting peak load reductions to mitigate the distribution network power losses. Simultaneously, this research is aimed at determining the optimal utility, customer profit and load shedding, customers have to do to facilitate power grid on peak hours. The proposed technique is tested on IEEE 69 bus test system with residential customers. The results show 56.46% reduction in power losses and economic benefits, a utility or a consumer can get with the proposed model.