To ameliorate the utilization rate of energy and the optimizing energy usage of synergistic energy network, the efficient planning strategy of multi-energy system considering flexible resources is proposed. Firstly,to enhance the biomass-to-energy recovery efficiency, the biomass energy is finely modeled and the biomass thermoelectric system model is constructed. Secondly, an electric-hydrogen coupling model with hydrogen fuel cell as the core is constructed to enhance the absorption capacity of new energy. Finally, a load-side price-responsive demand model elasticity matrix is devised. Within paper, the integrated framework the comprehensive power network is constructed with minimum total system financial and environmental cost the optimization goal, and different scenarios are designed for analysis. The results show that the total system cost is reduced by 45.70%, carbon is reduced by 30.92%,wind and light abandonment is reduced by 97.64%, which verifies the model's edge in terms economy, decarbonized and new energy consumption.

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Integrated Energy System Optimal Scheduling Considering Flexible Resources and Demand Response

  • Bin Qiu,
  • Haisong Luo,
  • Kai Wang,
  • Xinxiang Wang,
  • Tianxing Gao,
  • Danqing Wang

摘要

To ameliorate the utilization rate of energy and the optimizing energy usage of synergistic energy network, the efficient planning strategy of multi-energy system considering flexible resources is proposed. Firstly,to enhance the biomass-to-energy recovery efficiency, the biomass energy is finely modeled and the biomass thermoelectric system model is constructed. Secondly, an electric-hydrogen coupling model with hydrogen fuel cell as the core is constructed to enhance the absorption capacity of new energy. Finally, a load-side price-responsive demand model elasticity matrix is devised. Within paper, the integrated framework the comprehensive power network is constructed with minimum total system financial and environmental cost the optimization goal, and different scenarios are designed for analysis. The results show that the total system cost is reduced by 45.70%, carbon is reduced by 30.92%,wind and light abandonment is reduced by 97.64%, which verifies the model's edge in terms economy, decarbonized and new energy consumption.