Joint Optimization of Integrated Energy Systems in the Presence of Renewable Energy Sources, Power-to-Gas Systems and Energy Storage

Due to the high penetration of renewable energy resources and the direct impact on the power system, the issue of energy management has received more attention than researchers. Power-to-gas (P2G) system causes the surplus electricity generated from renewable energy resources in the network to be converted to gas and sold to the gas network, so energy management and profitability are a matter of particular importance, considering the two grids as a joint optimization of integrated energy systems. This paper presents a scenario-based stochastic mixed-integer linear programming (MILP) model to optimize integrated gas and electricity integrated systems considering natural gas distributed generation resources, P2G systems, energy storage systems, and electric vehicles. It aims to reduce the cost of purchasing energy and cut off the power of renewable energy resources. The 33-bus power distribution network and the 7-node natural gas network are considered for the analysis of the proposed model, and the proposed model is solved using the powerful Gurobi solver, considering various cases. The results of different cases show the performance of the proposed model.