Multi-time Scale Stochastic Optimization for Hybrid AC-DC Distribution Networks with PET Based on E-C-Kmeans Clustering

This paper addresses the uncertainty of distributed power supply in a hybrid AC-DC distribution network with multi-port Power Electronic Transformers (PET). A multi-time scale stochastic optimization model based on E-C-Kmeans clustering is proposed. First, the E-C-Kmeans clustering and reduction mod...

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Vydané v:2025 4th International Conference on Smart Grid and Green Energy (ICSGGE) s. 223 - 226
Hlavní autori: Sun, Yaobin, Liu, Shourui, Lu, Jiashuo, Du, Yonggang, Zheng, Huankun
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 28.02.2025
Predmet:
Clustering algorithms
Costs
Distribution networks
E-C-Kmeans clustering algorithm
Hybrid AC-DC distribution network
Hybrid power systems
Optimization models
PET
Power electronics
Processor scheduling
stochastic optimization
Stochastic processes
Transformers
Uncertainty
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Abstract This paper addresses the uncertainty of distributed power supply in a hybrid AC-DC distribution network with multi-port Power Electronic Transformers (PET). A multi-time scale stochastic optimization model based on E-C-Kmeans clustering is proposed. First, the E-C-Kmeans clustering and reduction model for new energy scenarios is constructed by integrating the CBFSAFODP algorithm (a fast search and density peak discovery algorithm) with the K-means algorithm. Then, the model aims to minimize wind curtailment penalties, operational and maintenance costs of energy storage devices, electricity purchasing costs, and micro gas turbine generation costs. A random optimization operation model for the day-ahead and intra-day scheduling of the hybrid AC-DC distribution network with PET based on E-C-Kmeans clustering is built. Finally, the case study on the hybrid AC-DC distribution network with PET verifies that the proposed model can reduce system operating costs and effectively address the uncertainty in the distribution of renewable energy generation.
AbstractList This paper addresses the uncertainty of distributed power supply in a hybrid AC-DC distribution network with multi-port Power Electronic Transformers (PET). A multi-time scale stochastic optimization model based on E-C-Kmeans clustering is proposed. First, the E-C-Kmeans clustering and reduction model for new energy scenarios is constructed by integrating the CBFSAFODP algorithm (a fast search and density peak discovery algorithm) with the K-means algorithm. Then, the model aims to minimize wind curtailment penalties, operational and maintenance costs of energy storage devices, electricity purchasing costs, and micro gas turbine generation costs. A random optimization operation model for the day-ahead and intra-day scheduling of the hybrid AC-DC distribution network with PET based on E-C-Kmeans clustering is built. Finally, the case study on the hybrid AC-DC distribution network with PET verifies that the proposed model can reduce system operating costs and effectively address the uncertainty in the distribution of renewable energy generation.
Author Lu, Jiashuo
Sun, Yaobin
Zheng, Huankun
Liu, Shourui
Du, Yonggang
Author_xml – sequence: 1
  givenname: Yaobin
  surname: Sun
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  email: 572828676@qq.com
  organization: State Grid Baoding Electric Power Company,Baoding City,Hebei Province,China
– sequence: 2
  givenname: Shourui
  surname: Liu
  fullname: Liu, Shourui
  organization: State Grid Baoding Electric Power Company,Baoding City,Hebei Province,China
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  givenname: Jiashuo
  surname: Lu
  fullname: Lu, Jiashuo
  organization: State Grid Baoding Electric Power Company,Baoding City,Hebei Province,China
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  givenname: Yonggang
  surname: Du
  fullname: Du, Yonggang
  organization: State Grid Baoding Electric Power Company,Baoding City,Hebei Province,China
– sequence: 5
  givenname: Huankun
  surname: Zheng
  fullname: Zheng, Huankun
  organization: North China Electric Power University,School of Electrical and Electronic Engineering,Baoding City,Hebei Province,China
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Snippet This paper addresses the uncertainty of distributed power supply in a hybrid AC-DC distribution network with multi-port Power Electronic Transformers (PET). A...
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SubjectTerms Clustering algorithms
Costs
Distribution networks
E-C-Kmeans clustering algorithm
Hybrid AC-DC distribution network
Hybrid power systems
Optimization models
PET
Power electronics
Processor scheduling
stochastic optimization
Stochastic processes
Transformers
Uncertainty
Title Multi-time Scale Stochastic Optimization for Hybrid AC-DC Distribution Networks with PET Based on E-C-Kmeans Clustering
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