Stochastic Optimization Operation of the Integrated Energy System Based on a Novel Scenario Generation Method
Open accessAbstract
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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Improvement of the PVHC has a regional character and cannot be solved with a set of universal precautions; a detailed simulation should be carried out for each case.
“Improvement of the PHVC has always had a regional character and, therefore, cannot be solved with a set of universal precautions.Instead, a detailed simulation should be carried out for each case [50,51].”
From Stochastic Approach for Increasing the PV Hosting Capacity of a Low-Voltage Distribution Network (2022) · cites this paper as [51]
Section 4.3 describes simulations of stochastic operation in an integrated energy microgrid, and Section 4 identifies the particular microgrid studied. Neither passage addresses whether improving photovoltaic hosting capacity is region-specific, whether universal precautions are inadequate, or whether every case requires detailed simulation. Searches for hosting capacity and region-specific simulation found no passage making those points. (LLM, conf=0.76)
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- Authors
- Zhang, D., Jiang, S., Liu, J., Wang, L., Chen, Y., Xiao, Y., Jiao, S., Xie, Y., Zhang, Y., & Li, M.
- Affiliations
- North China Electric Power University (CN)
- Corresponding author
- Li, Meicheng
- Venue
- Processes
- Publisher
- MDPI AG
- Published
- 2022-02-09
- Volume
- 10
- Issue
- 2
- Pages
- 330
- ISSN
- 2227-9717 (ISSN-L)
- OpenAlex
- W4211188295
- Cited by
- 25
- References
- 29
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 2 · 2023: 9 · 2022: 4
- FWCI
- 1.44
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Processes (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (71974055 and 51772096)
- Project Supported by Science and Technology Project of SGCC (SGJX0000KXJS1900321)
- Beijing Science and Technology Project (Z181100005118002)
- Par-Eu Scholars Program (Par-Eu Scholars Program)
- Science and Technology Beijing 100 Leading Talent Training Project (Science and Technology Beijing 100 Leading Talent Training Project)
- Fundamental Research Funds for the Central Universities (2020FR002, 2020MS023, 2020MS028)
- NCEPU "Double First-Class" Program (NCEPU "Double First-Class" Program)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Keywords
- integrated energy systems, microgrids, stochastic optimization, scenario generation, load forecasting errors, covariance matrix, temporal correlation, kernel density estimation, operating costs
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