LAPSE:2023.8448v1
Published Article

LAPSE:2023.8448v1
The Semi-Scheduling Mode of Multi-Energy System Considering Risk−Utility in Day-Ahead Market
February 24, 2023
Abstract
The large-scale development of renewable energy has an urgent demand for an adjustable power supply. For a multi-energy system with multiple types of heterogeneous power sources, including wind power, photovoltaic (PV) power, hydropower, thermal power and pumped storage, a novel semi-scheduling mode and a solution method were proposed in this paper. Firstly, based on the load and the reserve demand during the peak load period, the semi-scheduling mode was adopted to determine the start-up combination of thermal power units. Furthermore, by predicting the generating/pumping power, the working state of pumped storage units was determined to realize the independent solution of discrete integer variables. Secondly, the risk−utility function was constructed to quantify the attitude of pumped storage towards the uncertainty of renewable energy output, which completed the quotation and clearing of the pumped storage in the ancillary service market. Finally, by taking the minimum total quotation cost as the objective, the wind−solar−hydro- thermal-pumped storage coordinated (WSHTPC) model was built in the day-ahead market. The feasibility and effectiveness of the proposed model were verified through the simulation of a typical day with different renewable energy penetration rates.
The large-scale development of renewable energy has an urgent demand for an adjustable power supply. For a multi-energy system with multiple types of heterogeneous power sources, including wind power, photovoltaic (PV) power, hydropower, thermal power and pumped storage, a novel semi-scheduling mode and a solution method were proposed in this paper. Firstly, based on the load and the reserve demand during the peak load period, the semi-scheduling mode was adopted to determine the start-up combination of thermal power units. Furthermore, by predicting the generating/pumping power, the working state of pumped storage units was determined to realize the independent solution of discrete integer variables. Secondly, the risk−utility function was constructed to quantify the attitude of pumped storage towards the uncertainty of renewable energy output, which completed the quotation and clearing of the pumped storage in the ancillary service market. Finally, by taking the minimum total quotation cost as the objective, the wind−solar−hydro- thermal-pumped storage coordinated (WSHTPC) model was built in the day-ahead market. The feasibility and effectiveness of the proposed model were verified through the simulation of a typical day with different renewable energy penetration rates.
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Keywords
ancillary service market, multi-energy system, pumped storage, risk–utility, semi-scheduling mode
Subject
Suggested Citation
Yang X, Cai Y, Cao Y, Duan S, Tang L, Jia Z. The Semi-Scheduling Mode of Multi-Energy System Considering Risk−Utility in Day-Ahead Market. (2023). LAPSE:2023.8448v1
Author Affiliations
Yang X: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China; Hunan Key Laboratory of Energy Perception and Edge Computing, Hunan City University, Yiyang 413002, China
Cai Y: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Cao Y: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Duan S: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Tang L: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Jia Z: State Grid Yiyang Power Supply Company, State Grid, Yiyang 413000, China
Cai Y: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Cao Y: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Duan S: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Tang L: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Jia Z: State Grid Yiyang Power Supply Company, State Grid, Yiyang 413000, China
Journal Name
Energies
Volume
15
Issue
21
First Page
8147
Year
2022
Publication Date
2022-11-01
ISSN
1996-1073
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PII: en15218147, Publication Type: Journal Article
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LAPSE:2023.8448v1
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https://doi.org/10.3390/en15218147
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Feb 24, 2023
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