An Optimal Load Shedding Approach for Distribution Networks With DGs Considering Capacity Deficiency Modeling of Bulked Power Supply
This paper discusses a Genetic Algorithm (GA) based optimal load shedding that can apply for electrical distribution networks with and without Dispersed Generators (DG). Also, the proposed method has the ability for considering constant and variable capacity deficiency caused by unscheduled outages in the bulked generation and transmission system of bulked power supply. The Genetic Algorithm (GA) is employed to search for the optimal load shedding strategy in distribution networks considering DGs in two cases of constant and variable modeling of bulked power supply of distribution networks. Electrical power distribution systems have a radial network and unidirectional power flows. With the advent of dispersed generations, the electrical distribution system has a locally looped network and bidirectional power flows.