Joint Optimization of Planning and Operation for Integrated Electrothermal and Hydrogen Coupling System

In view of the rough modeling of hydrogen energy system, insufficient analysis of hydrogen energy utilization mode, and the lack of consideration of the multiple uncertain factors, this paper proposes a joint optimization method of planning and operation for integrated electrothermal and hydrogen coupling system (IEHS) based on multiverse optimizer algorithm (MVO) and interval linear programming method. Firstly, the frame structure of IEHS is constructed, and multiple utilization modes of hydrogen energy are analyzed. Secondly, considering the hydrogen physical characteristics, the operation model of high-pressure hydrogen storage device based on Van Deemter equation is established, and the linear model of compressor power consumption is built considering dynamic compression ratio. On this basis, the bilevel optimization model of planning and operation for IEHS is established considering multiuncertainty and multiple hydrogen energy utilization modes. The upper model realizes the capacity configuration of equipment with the goal of minimizing the total construction and operation cost within the service life. The lower model optimizes the output of each equipment with the goal of minimizing the operation cost. The example results show that MVO and interval linear programming method for solving the bilevel optimization model have the better convergence speed and convergence ability. Further, the multiple utilization modes of hydrogen energy can effectively reduce the construction and operation cost of IEHS, and accurately depicting the physical characteristics of the hydrogen storage system can increase the coordination and optimization ability of IEHS. Considering multiple uncertain factors, the optimal configuration scheme and operation cost of IEHS are more stable.