The Semi-Scheduling Mode of Multi-Energy System Considering Risk–Utility in Day-Ahead Market

Xian Yang, Ye Cai (), Yijia Cao, Shaowei Duan, Liang Tang and Zhijian Jia
Additional contact information
Xian Yang: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Ye Cai: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Yijia Cao: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Shaowei Duan: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Liang Tang: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China
Zhijian Jia: State Grid Yiyang Power Supply Company, State Grid, Yiyang 413000, China

Energies, 2022, vol. 15, issue 21, 1-15

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.

Keywords: multi-energy system; semi-scheduling mode; pumped storage; ancillary service market; risk–utility (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/21/8147/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/21/8147/ (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:15:y:2022:i:21:p:8147-:d:959819

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 ().