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; Bo Gu

LAPSE:2023.22374

Published Article

LAPSE:2023.22374

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, Bo Gu

March 24, 2023

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.

Record ID

LAPSE:2023.22374

Keywords

combined heat and power system, optimization scheduling, scenario method, temporal dependence, wind power uncertainty

Subject

Planning & Scheduling

Suggested Citation

Zhou Y, Guo S, Xu F, Cui D, Ge W, Chen X, Gu B. Multi-Time Scale Optimization Scheduling Strategy for Combined Heat and Power System Based on Scenario Method. (2023). LAPSE:2023.22374

Author Affiliations

Zhou Y: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443000, China; Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang 443000, China
Guo S: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443000, China; Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang 443000, China
Xu F: Department of Electrical Engineering, Tsinghua University, Beijing 100000, China
Cui D: Jinzhou Power Supply Company, Liaoning Electric Power Co., Ltd., Shenyang 100084, China; School of Electrical Engineering, Shenyang University of Technology, Shenyang 100084, China
Ge W: Jinzhou Power Supply Company, Liaoning Electric Power Co., Ltd., Shenyang 100084, China; School of Electrical Engineering, Shenyang University of Technology, Shenyang 100084, China
Chen X: Jinzhou Power Supply Company, Liaoning Electric Power Co., Ltd., Shenyang 100084, China
Gu B: Jinzhou Power Supply Company, Liaoning Electric Power Co., Ltd., Shenyang 100084, China

Journal Name

Energies

Volume

13

Issue

7

Article Number

E1599

Year

2020

Publication Date

2020-04-01