With the breaking down of information barriers between energy flow with manufacturing flow, the coordination between them is an effective way to relieve the dual pressure from energy and environment industrial integrated energy system. The authors develop a scenario‐based coordination model for energy flow and manufacturing flow to make full use of the flexibilities of energy supply and production process to reduce energy cost. To capture the flexibility in the energy flow, the authors enhance an electricity‐steam‐product gas–gas storage coupling energy flow model considering multi‐uncertainties. The authors also develop a batch process model to formulate the flexibility in the production process. Based on the batch energy consumption constraints, the energy flow model and the batch process model are integrated as a coordination model. To ensure the feasibility of hard budget constraints under all possible random realisations, we add all‐scenario‐feasibility robust constraints which are infinite‐dimensional constraints into the model. To solve the model, a vertex scenario set based on the characteristics of convex optimisation is constructed to equivalently convert infinite‐dimensional constraints to finite‐dimensional constraints. In this way, the coordination model is transformed to a mixed integer linear programming and can be solved using CPLEX. Finally, numerical test based on a real iron and steel plant is analysed. The results show that coordination between energy with manufacturing flow is effective to reduce the energy cost and carbon emission. Compare with only optimising energy flow, the coordination model can reduce total cost about 221.6 thousand RMB and 304.44t coal every day.

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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.