Low carbon optimal scheduling of integrated energy systems considering hydrogen use and demand response
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Nanjing University of Information Science and Technology

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Project Supported by the National Natural Science Foundation of China (52077105); Natural Science Foundation of Jiangsu Province (20211285)

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    Abstract:

    In the context of "dual-carbon", integrated energy system (IES) is of great significance to improve energy efficiency and reduce carbon emissions, in order to better achieve this goal, an IES low-carbon optimal dispatching method that considers hydrogen energy utilisation and demand response is proposed. On the source side, an IES model with hydrogen energy utilisation as the core is built to optimise the flexibility of equipment operation; on the load side, a demand response model based on a Logistic function is built to optimise the load curve and assist in carbon reduction, taking into account the energy consumption characteristics of users; at the same time, a stepped carbon trading mechanism is introduced into the optimisation model to further explore the carbon reduction potential of the system; finally, the system's energy purchase cost, operation and maintenance cost, carbon trading cost and abandoned wind power are taken into account. Finally, the system's energy purchase cost, operation and maintenance cost, carbon trading cost and wind abandonment cost are taken into account, and the total daily operating cost of IES is minimized as the objective function for optimal scheduling. The model not only achieves the effect of peak shaving and valley filling, but also effectively reduces the total operating cost and carbon emission of IES, which is a good low carbon economy.

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History
  • Received:May 26,2023
  • Revised:August 11,2023
  • Adopted:August 11,2023
  • Online:
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