Optimization and energy management of distributed energy resources for a hybrid residential microgrid

This paper presents an optimization solution to reduce the operational cost for a hybrid residential microgrid consisting of diesel generator, wind turbine and photovoltaic array, and battery energy storage system. Traditionally, loads in residential microgrids are mainly supplied by diesel generators. Increasing development and integration of renewable energy resources and battery energy storage system into a residential microgrid, decreases the cost of generation, and increases environmental emission mitigation and generation efficiency. In this study, the optimization problem is solved using a Particle Swarm Optimization algorithm. The primary objectives of the optimization procedure can be expressed as follows: (i) the minimization of total costs of DERs (ii) reduction of environmental emission in the MG system (iii) increasing the penetration level of RES. Several numerical results are presented to validate the effectiveness of the proposed method using demand, local solar irradiance, and wind speed. The proposed method results are shown that there is about a 35% reduction in CO2 emission in the optimal configuration in comparison with the scenario in which only diesel generators provide the total demand of the MG system. It is observed that installing the optimum configuration during different years brought down the fuel to 44.36 (M-Liter). It is also worth mentioning that the optimal installation of DER units in different years plays an important role in increasing the MG system performance. The simulation results for the case verify the efficiency and effectiveness of the proposed approach.