Multi-objective Residential Load Scheduling Approach Based on Pelican Optimization Algorithm

Controlling the available power generation to support current residential demand, and managing the local loads is a crucial task. In this paper, a multi-objective pelican optimization algorithm (MOPOA) is proposed for optimal load control of smart grids. The MOPOA algorithm is used to minimize the energy cost for customers and reduce the peak load for utility companies. The proposed algorithm is evaluated using a case study of a smart grid with 20 household appliances. MOPOA algorithm provides all Pareto front solutions that achieve a trade-off between the optimal cost of the customer’s load, and the peak load saving. The dominance count concept is used to select the compromise solutions ensuring that the diversity of the population is maintained. The proposed method provides saving more than 42.67% for energy bills. Moreover, the power suppliers have gained benefits by lowering the peak energy demand by 25.8%.