Optimal Scheduling of Regional Integrated Energy Systems Under Two-Stage Power to Gas

Aiming at wind and light abandonment and economic cost optimization in regional integrated energy systems, an optimal scheduling method of regional integrated energy systems considering power to gas (P2G) two-stage model is proposed. First, the regional integrated energy system with electricity-gas-heat-storage-hydrogen coupling is regarded as the research object, and the equipment models and two-stage P2G models of the system are established. Secondly, the optimal scheduling model of the system is established under the relevant power constraints. On this basis, the incentive response from power demand side is introduced, and the load curve is optimized with the mixed integer programming YALMIP function. The system economy is improved by changing the power consumption time of the transferable load. Finally, the mixed integer linear programming method is used to solve the optimal scheduling solution and the costs under the objective of minimizing the daily operation cost. According to the historical data of a certain area, the presented optimization scheduling method is adopted to obtain optimization scheduling results for the integrated energy systems in this electricity-gas-heat-storage-hydrogen coupling area, and the rationality and effectiveness of this method are verified by technical and economic analysis in terms of different seasons, P2G stages and demand side response. The results show that after under the two-stage P2G, the amount of abandoned wind and light is greatly reduced in winter and summer, and the economic cost is reduced by 32.62% and 61.64%, respectively; when introducing the demand side response, the proportion of system economic cost reduction in winter is further increased to 33.69%. © 2023 Science Press. All rights reserved.