Optimal Scheduling of Integrated Energy System Considering Hydrogen Blending Gas and Demand Response

Zijie Zheng, Abuduwayiti Xiwang and Yufeng Sun ()
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Zijie Zheng: Faculty of Electrical Engineering, Xinjiang University, Urumqi 830000, China
Abuduwayiti Xiwang: Faculty of Electrical Engineering, Xinjiang University, Urumqi 830000, China
Yufeng Sun: Faculty of Electrical Engineering, Xinjiang University, Urumqi 830000, China

Energies, 2024, vol. 17, issue 8, 1-17

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 natural gas (HCNG). It is also injected into the natural gas pipeline network to achieve the transmission and utilization of hydrogen energy. At the same time, the participation of demand response is considered, the load’s peak and trough periods are adjusted, and the large-scale consumption of renewable energy and the reduction in carbon emissions are achieved. First of all, a fine model of hydrogen production and hydrogen use equipment is established to analyze the impact of adding hydrogen mixing on the economy and the low-carbon property of the system. With green certificates and demand response, the utilization rate of hydrogen energy is improved to further explore the energy utilization 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 operation 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 natural gas was established. The model was linearized and solved by using MATLAB 2021a and CPLEX solver. By comparing different scenarios, the superiority of the model and the effectiveness of the strategy are verified.

Keywords: hydrogen mixed natural gas; hydrogen fuel cell; wind power consumption; low carbon; demand response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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