LAPSE:2023.2997
Published Article
LAPSE:2023.2997
Stochastic Optimization Operation of the Integrated Energy System Based on a Novel Scenario Generation Method
February 21, 2023
The application of integrated energy systems is significant for realizing the comprehensive utilization of various energy sources and improving the utilization rate of renewable energy. At present, the optimal operation of integrated energy systems is a research hotspot. However, shortcomings remain in the stochastic optimization operation and the scenario generation method. This paper proposes a stochastic optimization operation model of an integrated energy microgrid based on an advanced multi-scenario generation method. First, this paper establishes the time-divided probability distribution model of the forecasting error of the uncertain factors, such as photovoltaic (PV) power and load, which provide the basis for generating scenarios. Moreover, the covariance matrix is used to calculate the time correlation of the time-divided probabilistic distributed models, and the parameters of the covariance matrix are optimized. Second, based on multiple typical scenarios, the stochastic optimization operation model of the integrated energy microgrid is established. Finally, the real data is used to verify the proposed method. The results show that the nonparametric kernel density estimation method has the best fitting effect. On this basis, the time correlation and the operation costs are compared with the scenario sets generated by other methods, which proves the advantages of the proposed multi-scenario generation method and stochastic optimization operation model.
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Keywords
covariance matrix, integrated energy microgrid, probability distribution model, Stochastic Optimization, time correlation
Subject
Suggested Citation
Zhang D, Jiang S, Liu J, Wang L, Chen Y, Xiao Y, Jiao S, Xie Y, Zhang Y, Li M. Stochastic Optimization Operation of the Integrated Energy System Based on a Novel Scenario Generation Method. (2023). LAPSE:2023.2997
Author Affiliations
Zhang D: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing 102206, China
Jiang S: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing 102206, China
Liu J: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing 102206, China
Wang L: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing 102206, China
Chen Y: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing 102206, China
Xiao Y: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Jiao S: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Xie Y: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Zhang Y: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
Li M: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing 102206, China [ORCID]
Jiang S: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing 102206, China
Liu J: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing 102206, China
Wang L: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing 102206, China
Chen Y: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing 102206, China
Xiao Y: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Jiao S: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Xie Y: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Zhang Y: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
Li M: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing 102206, China [ORCID]
Journal Name
Processes
Volume
10
Issue
2
First Page
330
Year
2022
Publication Date
2022-02-09
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr10020330, Publication Type: Journal Article
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LAPSE:2023.2997
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doi:10.3390/pr10020330
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[v1] (Original Submission)
Feb 21, 2023
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Feb 21, 2023
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