A Multi-Objective Genetic Algorithm Approach for Synergetic Source-Storage-Load Dispatch in a Residential Microgrid

The current work presented in this article proposes a day ahead multi-objective optimization portfolio for a residential microgrid or a home consisting of different domestic appliances and rooftop solar panels associated with storage device. The proposed framework aims to determine synergetic source-storage-load dispatch schedule by simultaneously minimizing the electricity cost, ocular discomfort and thermal discomfort experienced by the home occupants for the following day while controlling switching of the discrete loads (like washing machine, dryer etc.) and consumption of the continuous loads (like air-conditioner, lights etc.). The entire optimization framework takes the form of a mixed integer non-linear programming and the solution technique is proposed using Genetic Algorithm. The simulation is carried out on practical data set of a residential unit to prove effectiveness of the designed method.