LAPSE:2023.32669
Published Article
LAPSE:2023.32669
Optimal Scheduling Strategy of AC/DC Hybrid Distribution Network Based on Power Electronic Transformer
Qingwen Peng, Lu Qu, Zhichang Yuan, Xiaorui Wang, Yukun Chen, Baoye Tian
April 20, 2023
The AC/DC hybrid distribution network is composed of a medium-voltage DC bus, a low-voltage DC bus, and a power electronic transformer, and has the characteristics of multi-voltage level, multi-DC bus, and multi-converter, so its operation mode and optimal scheduling strategy are more complex. Firstly, this paper constructs the AC/DC hybrid distribution network using an power electronic transformer. Then, a two-layer control structure including a scheduling management layer and a bus control layer is proposed, which simplifies the control structure and gives full play to the role of “energy routing” function of the power electronic transformer. Moreover, the minimum operation cost of the AC/DC hybrid distribution network in the whole scheduling cycle is taken as the optimization objective, considering the characteristics of various distributed generations, the structure of AC/DC hybrid distribution network, and the interaction of “source−load−storage”. Finally, the optimal scheduling model of the AC/DC hybrid distribution network based on power electronic transformer is established, and the feasibility of the optimal scheduling strategy is verified by the open-source solver, which can realize the complete absorption of renewable energy and the optimal coordinated control of “source−load−storage”.
Keywords
AC/DC hybrid distribution network, optimal scheduling strategy, power electronic transformer
Suggested Citation
Peng Q, Qu L, Yuan Z, Wang X, Chen Y, Tian B. Optimal Scheduling Strategy of AC/DC Hybrid Distribution Network Based on Power Electronic Transformer. (2023). LAPSE:2023.32669
Author Affiliations
Peng Q: State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Qu L: State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China [ORCID]
Yuan Z: State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Wang X: State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Chen Y: State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Tian B: State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Journal Name
Energies
Volume
14
Issue
11
First Page
3219
Year
2021
Publication Date
2021-05-31
Published Version
ISSN
1996-1073
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PII: en14113219, Publication Type: Journal Article
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doi:10.3390/en14113219
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