LAPSE:2023.23524
Published Article
LAPSE:2023.23524
Research on Real-Time Optimized Operation and Dispatching Strategy for Integrated Energy System Based on Error Correction
Aidong Zeng, Sipeng Hao, Jia Ning, Qingshan Xu, Ling Jiang
March 27, 2023
A real-time error correction operation model for an integrated energy system is proposed in this paper, based on the analysis of the real-time optimized operation structure of an integrated energy system and the characteristics of the system. The model makes real-time corrections to the day-ahead operation strategy of the integrated energy system, to offset forecast errors from the renewable power generation system and multi-energy load system. When unbalanced power occurs in the system due to prediction errors, the model comprehensively considers the total capacity of each energy supply and energy storage equipment, adjustable margin, power climbing speed and adjustment cost, to formulate the droop rate which determines the unbalanced power that each device will undertake at the next time interval, while taking the day-ahead dispatching goals of the system into consideration. The case study shows that the dispatching strategy obtained by the real-time error correction operation model makes the power output change trend of the energy supply equipment consistent with the day-ahead dispatching plan at the next time interval, which ensures the safety, stability and economy of the real-time operation of the integrated energy system.
Keywords
combined cooling and heating power (CCHP), dispatching strategy, error correction, integrated energy system, real-time optimized operation
Suggested Citation
Zeng A, Hao S, Ning J, Xu Q, Jiang L. Research on Real-Time Optimized Operation and Dispatching Strategy for Integrated Energy System Based on Error Correction. (2023). LAPSE:2023.23524
Author Affiliations
Zeng A: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China; Jiangsu Collaborative Innovation Center for Smart Distribution Network, Nanjing Institute of Technology, Nanjing 211100, China [ORCID]
Hao S: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China; Jiangsu Collaborative Innovation Center for Smart Distribution Network, Nanjing Institute of Technology, Nanjing 211100, China
Ning J: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China; Jiangsu Collaborative Innovation Center for Smart Distribution Network, Nanjing Institute of Technology, Nanjing 211100, China
Xu Q: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Jiang L: Electric Power Research Institute, State Grid Tianjin Electric Power Company, State Grid, Tianjin 300010, China
Journal Name
Energies
Volume
13
Issue
11
Article Number
E2908
Year
2020
Publication Date
2020-06-05
Published Version
ISSN
1996-1073
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PII: en13112908, Publication Type: Journal Article
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LAPSE:2023.23524
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doi:10.3390/en13112908
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Mar 27, 2023
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