Optimal Configuration Method of New Energy Capacity for Rural Households Considering Impact of Electric Vehicles

For optimal configuration of the rural household new energy system with photovoltaic power generation as main source, a new life cycle optimization configuration method is proposed for rural household new energy system from the perspective of user economic benefits, which uses electric vehicles (EVs) as energy storage facilities and considers the travel demands of users. Firstly, an optimal configuration model is established with the objective of minimum annual system energy cost and maximum self-generation and self-use rate. And a new energy system integrated operation model is formulated based on the electricity price and the demand for electric vehicles. And then the particle swarm optimization (PSO) algorithm is applied to solve the optimal configuration capacity of distributed power in the household new energy system. Finally, simulation experiments are carried out based on actual electricity load data and meteorological parameters for typical rural households in Shijiazhuang, Hebei. Results show that the combination of electric vehicles and photovoltaic power can effectively improve the system energy efficiency and reduce the energy cost.