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

Yunhai Zhou, Shengkai Guo, Fei Xu, Dai Cui, Weichun Ge, Xiaodong Chen and Bo Gu
Additional contact information
Yunhai Zhou: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443000, China
Shengkai Guo: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443000, China
Fei Xu: Department of Electrical Engineering, Tsinghua University, Beijing 100000, China
Dai Cui: Jinzhou Power Supply Company, Liaoning Electric Power Co., Ltd., Shenyang 100084, China
Weichun Ge: Jinzhou Power Supply Company, Liaoning Electric Power Co., Ltd., Shenyang 100084, China
Xiaodong Chen: Jinzhou Power Supply Company, Liaoning Electric Power Co., Ltd., Shenyang 100084, China
Bo Gu: Jinzhou Power Supply Company, Liaoning Electric Power Co., Ltd., Shenyang 100084, China

Energies, 2020, vol. 13, issue 7, 1-18

Abstract: 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.

Keywords: combined heat and power system; wind power uncertainty; scenario method; temporal dependence; optimization scheduling (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/7/1599/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/7/1599/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:7:p:1599-:d:339840

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().