An optimal scheduling model for an integrated electric-hydrogen-thermal energy system (IES) is proposed, which takes into account the operation of a multi-condition electrolyzer array and multi-dimensional demand response. Firstly, a refined model of multi-state electrolyzer operation is constructed, including shutdown state, cold standby state, and working state, which allows real-time adjustment of the equipment output according to the load, and effectively improves the flexibility of electric-hydrogen coupling, and has a positive effect on the improvement of the operating economy. Secondly, a multi-dimensional demand response model with load transferability and substitutability is constructed by considering the adjustability of electric and thermal loads in the time dimension and space dimension. Finally, the optimal operating economy of the integrated energy system is taken as the objective function for optimization and solution.

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Optimized Scheduling of an Integrated Electric-Hydrogen-Heat Energy System Considering Multi-condition Electrolyzers and Multi-dimensional Demand Response

  • Mingguang Zhang,
  • Pan Wu,
  • Chengxiang Zhai

摘要

An optimal scheduling model for an integrated electric-hydrogen-thermal energy system (IES) is proposed, which takes into account the operation of a multi-condition electrolyzer array and multi-dimensional demand response. Firstly, a refined model of multi-state electrolyzer operation is constructed, including shutdown state, cold standby state, and working state, which allows real-time adjustment of the equipment output according to the load, and effectively improves the flexibility of electric-hydrogen coupling, and has a positive effect on the improvement of the operating economy. Secondly, a multi-dimensional demand response model with load transferability and substitutability is constructed by considering the adjustability of electric and thermal loads in the time dimension and space dimension. Finally, the optimal operating economy of the integrated energy system is taken as the objective function for optimization and solution.