Multi-energy complementary integrated energy system optimization with electric vehicle participation considering uncertainties

Multi-energy complementary integrated energy system (MCIES) can promote the utilization of renewable energy and facilitate the transition to a low-carbon society. With the popularization of electric vehicles (EVs), the charging load is a non-negligible load demand and brings unknown impacts on the MCIES. Moreover, the uncertain nature of renewable energy and EVs charging load may hinder the desired performance of MCIES. This study optimized the capacities of MCIES considering the EVs charging load and source-load uncertainties. An integrated solution method was used to deal with the multi-objective optimization problem, i.e., minimizing the annual total cost (ATC), annual total CO2 emissions (ATE) and power grid load volatility (F). In addition, the complementarity between the EVs charging load and power grid load for MCIES was investigated, as well as the impacts of the EVs charging strategy. An actual swimming pool building with MCIES was used as a case study to illustrate the procedure. The results show that the capacity configuration for MCIES considering EVs participation and uncertainties has better comprehensive performance. Moreover, the EVs charging strategy can further affect the load volatility of MCIES and its volatility is reduced by 61.3 % under an orderly charging strategy.