Joint Planning Method for Intelligent Soft Open Point and Energy Storage in Distribution Network Based on Improved DC Power Flow

Intelligent Soft Open Point (SOP) and energy storage are effective ways to absorb distributed new energy in spatial-time dimension. A two-layer joint planning model for SOP and energy storage is proposed in this paper. Among the model, the upper layer model optimizes the site and capacity of these d...

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Veröffentlicht in:2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference (APPEEC) S. 1 - 5
Hauptverfasser: Huang, Cunqiang, Zhang, Shunzhen, Tian, Xu, Liu, Xingwen, Du, Jinshuo
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Sprache:Englisch
Veröffentlicht: IEEE 25.10.2024
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Abstract Intelligent Soft Open Point (SOP) and energy storage are effective ways to absorb distributed new energy in spatial-time dimension. A two-layer joint planning model for SOP and energy storage is proposed in this paper. Among the model, the upper layer model optimizes the site and capacity of these distributed resources, and the lower layer takes the minimum daily total loss of the distribution network as the goal to optimize the system operation state. The improved DC power flow algorithm is combined with the mixed integer nonlinear programming algorithm to effectively solve the proposed model. The effectiveness of the joint programming method is verified in the IEEE 33-node flexible interconnected distribution network example.
AbstractList Intelligent Soft Open Point (SOP) and energy storage are effective ways to absorb distributed new energy in spatial-time dimension. A two-layer joint planning model for SOP and energy storage is proposed in this paper. Among the model, the upper layer model optimizes the site and capacity of these distributed resources, and the lower layer takes the minimum daily total loss of the distribution network as the goal to optimize the system operation state. The improved DC power flow algorithm is combined with the mixed integer nonlinear programming algorithm to effectively solve the proposed model. The effectiveness of the joint programming method is verified in the IEEE 33-node flexible interconnected distribution network example.
Author Liu, Xingwen
Huang, Cunqiang
Tian, Xu
Zhang, Shunzhen
Du, Jinshuo
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  givenname: Cunqiang
  surname: Huang
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  email: zhenyu_lv@nnu.edu.cn
  organization: Economic Research Institute of State Grid Qinghai Electric Power Company,Xining,China
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  givenname: Shunzhen
  surname: Zhang
  fullname: Zhang, Shunzhen
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  organization: Economic Research Institute of State Grid Qinghai Electric Power Company,Xining,China
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  givenname: Xu
  surname: Tian
  fullname: Tian, Xu
  email: 13897640106@163.com
  organization: Economic Research Institute of State Grid Qinghai Electric Power Company,Xining,China
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  givenname: Xingwen
  surname: Liu
  fullname: Liu, Xingwen
  email: 77977330@qq.com
  organization: Economic Research Institute of State Grid Qinghai Electric Power Company,Xining,China
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  givenname: Jinshuo
  surname: Du
  fullname: Du, Jinshuo
  email: 1255192529@qq.com
  organization: Economic Research Institute of State Grid Qinghai Electric Power Company,Xining,China
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Snippet Intelligent Soft Open Point (SOP) and energy storage are effective ways to absorb distributed new energy in spatial-time dimension. A two-layer joint planning...
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SubjectTerms Capacity planning
Distribution networks
Energy storage
Energy Storage System
Flexible Interconnected Distribution Network
Improved DC Power Flow
Joint Planning Method
Load flow
Low voltage
Planning
Power grids
Power transmission
Programming
Soft Open Point
Systems operation
Title Joint Planning Method for Intelligent Soft Open Point and Energy Storage in Distribution Network Based on Improved DC Power Flow
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