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Combined Electricity-Gas-Heat Energy Internet Scheduling with Power-To-Gas and Renewable Power Uncertainty

As a promising utilization for the future development of energy, the Energy Internet is receiving more attention. In the Energy Internet, electricity, gas, heat and other energy forms are utilized and coupled together. A combined electricity-gas-heat Energy Internet scheduling method is proposed in this paper. The renewable power uncertainty is modeled based on recently proposed truncated versatile distribution and involved in the scheduling model, in which the renewable power cost is considered by underestimation and overestimation penalty. The overall economy is achieved by fully considering the power-to-gas devices, combined heat and power generators and gas-fired boilers. Numerical studies for the day-ahead BES scheduling in an industrial peak are presented to demonstrate the merits of the proposed method. Results show that by capturing renewable power uncertainty, the system cost could be greatly reduced. The energy and gas storage could both greatly contribute to reduce the cost of renewable power uncertainty.