EconPapers    
Economics at your fingertips  
 

Economic Dispatch Model of High Proportional New Energy Grid-Connected Consumption Considering Source Load Uncertainty

Min Xu, Wanwei Li, Zhihui Feng, Wangwang Bai, Lingling Jia and Zhanhong Wei ()
Additional contact information
Min Xu: Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
Wanwei Li: Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
Zhihui Feng: Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
Wangwang Bai: Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
Lingling Jia: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Zhanhong Wei: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

Energies, 2023, vol. 16, issue 4, 1-20

Abstract: To solve the problem regarding the large-scale grid-connected consumption of a high proportion of new energy sources, a concentrating solar power (CSP)-photovoltaic (PV)-wind power day-ahead and intraday-coordinated optimal dispatching method considering source load uncertainty is proposed. First, the uncertainty of day-ahead wind power output prediction is described by the multi-scenario stochastic planning method, and the uncertainty of intraday source-load is characterized by the trapezoidal fuzzy number equivalence model. Second, based on the combined scenario set of day-ahead wind power output prediction, the day-ahead optimal dispatch is performed by combining thermal and CSP plants, and the day-ahead thermal and CSP plant dispatch output and intraday source load fuzzy dataset are used as the input quantities for the day-ahead dispatch. Thus, the scheduling output and rotating backup plan for thermal power and CSP plants were determined; finally, the validity and feasibility of the model were verified using arithmetic examples.

Keywords: new energy consumption; multiple time scale; uncertainty; two-level optimal (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: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/4/1696/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/4/1696/ (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:16:y:2023:i:4:p:1696-:d:1062006

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 ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1696-:d:1062006