Multi-Time Scale Optimization Scheduling Strategy for Combined Heat and Power System Based on Scenario Method

• Published in: Energies (Basel) Vol. 13; no. 7; p. 1599
• Main Authors: Zhou, Yunhai, Guo, Shengkai, Xu, Fei, Cui, Dai, Ge, Weichun, Chen, Xiaodong, Gu, Bo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2020
• Subjects: Alternative energy sources; Cogeneration; combined heat and power system; Electricity distribution; Electricity generation; Expected values; Heat storage; Operating costs; Operating revenue; Optimization; optimization scheduling; Revenue; scenario method; Scheduling; Startups; Storage capacity; Strategy; temporal dependence; Uncertainty; Wind power; wind power uncertainty; China
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en13071599

The wind–heat conflict and wind power uncertainty are the main factors leading to the phenomenon of wind curtailment during the heating period in the northern region of China. In this paper, a multi-time scale optimal scheduling strategy for combined heat and power system is proposed. Considering the temporal dependence of wind power fluctuation, the intra-day wind power scenario generation method is put forward, and both day-ahead and intra-day optimization scheduling models based on the scenario method are established to maximize the system’s revenue. The case analyzes the impacts of the initial heat storage capacity of a heat storage device and different scheduling strategies on system revenue. It is verified that the scheduling strategy can better adapt to wind power uncertainty and improve the absorption capacity of wind power, while ensuring the safety and economical efficiency of system operation.