Genetic Algorithm to Solve Demand Side Management and Economic Dispatch Problem

In this paper Genetic Algorithm method is used to solve Demand Side Management (DSM) and Dynamic Economic Dispatch (DED) problems. This work considers problem (DSM) and (DED) as two complementary stages in the optimization process. Indeed, in this work, instead of considering the total need of all users, the energy consumption profile for each user is treated as a discrete problem. For this purpose, Genetic Algorithm (GA) is developed to find the optimal horary planning to start up users’ electrical devices, in addition to carried out the optimal contribution of each energy source to satisfy each user during each slot of time. The ultimate purposes of this work are minimizing the bill consumer side using time pricing of different energy sources, minimizing the degree of peak hours of energy consumption and reducing the energy losses in the grid. The proposed method using (GA) for scheduled scheme is compared with unscheduled schemes. Results show that the performance improvements are more than 10%.