Coordination optimization of hydrogen-based multi-energy system with multiple storages for industrial park

Supply-demand coordination optimization of hydrogen-based multi-energy system provides an effective way to improve the overall energy utilization efficiency and mitigate the challenges of energy and environmental crisis for industrial park. However, the uncertainties of energy supply and demand and the time coupling caused by storage system bring great challenges for energy efficiency and feasibility of strategy. To address the supply-demand coordination problem, a scenario-based operation optimization model of hydrogen-based multi-energy system is formulated. In this model, grey hydrogen, green hydrogen, and renewable energy are coordinated. Furthermore, in order to formulate the hard constraints of the gas storage, the robust constraints with adjustable robust parameters are added to make a trade-off between feasibility and economy of operation strategy. The robust constraints are non-linear, time-coupled, dynamic and infinite dimensional and bring high computational complexity. Thus, the analytical solutions of the worst case are developed under the polyhedral budget constraints to transform the model into a mixed integer linear programming which can be efficiently solved. Finally, numerical test based on a real case is analysed and the results show that supply-demand coordination can reduce the energy cost about 11.29% and energy storage system can significantly improve the flexibility of system.