Time priority based optimal load shedding using genetic algorithm

In developing countries like India there is a huge gap between power generation and demand where load shedding becomes necessary to sustain system stability. Conventional load shedding methods follow “round robin” technique wherein it is almost impossible to shed exact amount of load. And also shedding is carried out regardless of the type of loads connected to a feeder as a result of which available power is not delivered to the consumers in utmost need. This paper demonstrates Intelligent load shedding scheme to provide optimal solution for load relief based on time priority assigned to various loads. The genetic algorithm technique is employed for optimal load shedding solution to minimize the error between load to be shed and load being shed in a smart grid environment. Simulations are carried on a sample system based on a practical feeder data.