Zheng, Z.; Xiwang, A.; Sun, Y. Optimal Scheduling of Integrated Energy System Considering Hydrogen Blending Gas and Demand Response. Energies2024, 17, 1902.
Zheng, Z.; Xiwang, A.; Sun, Y. Optimal Scheduling of Integrated Energy System Considering Hydrogen Blending Gas and Demand Response. Energies 2024, 17, 1902.
Zheng, Z.; Xiwang, A.; Sun, Y. Optimal Scheduling of Integrated Energy System Considering Hydrogen Blending Gas and Demand Response. Energies2024, 17, 1902.
Zheng, Z.; Xiwang, A.; Sun, Y. Optimal Scheduling of Integrated Energy System Considering Hydrogen Blending Gas and Demand Response. Energies 2024, 17, 1902.
Abstract
In the context of carbon neutrality and carbon peaking, in order to achieve low carbon emissions and promote the efficient utilization of wind energy, hydrogen energy as an important energy carrier is proposed to mix hydrogen and natural gas to form hydrogen enriched compressed natu-ral gas (HCNG). It is also injected into the natural gas pipeline network to realize the transmission and utilization of hydrogen energy. At the same time, the participation of demand response is considered, the load peak and trough period is adjusted, and large-scale consumption of renewa-ble energy and the reduction of carbon emissions are realized. First of all, a fine model of hydro-gen production and hydrogen use equipment is established to analyze the impact of adding hy-drogen mixing on the economy and low-carbon of the system. With green certificates and demand response, the utilization rate of hydrogen energy is improved to further explore the energy utiliza-tion rate and emission reduction capacity of the system. Secondly, on the basis of modeling, the optimal scheduling strategy is proposed with the sum of energy purchase cost, equipment opera-tion cost, carbon emission cost, wind curtailment cost and green certificate income as the lowest objective function. Considering the constraints such as hydrogen blending ratio and flexible load ratio of the pipeline network, a low-carbon economic scheduling model of hydrogen mixed natu-ral gas was established. The model was linearized and solved by using MATLAB and CPLEX solver. By comparing different scenarios, the superiority of the model and the effectiveness of the strategy are verified.
Engineering, Electrical and Electronic Engineering
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