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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Bibliographic Details
Published in:2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference (APPEEC) pp. 1 - 5
Main Authors: Huang, Cunqiang, Zhang, Shunzhen, Tian, Xu, Liu, Xingwen, Du, Jinshuo
Format: Conference Proceeding
Language:English
Published: IEEE 25.10.2024
Subjects:
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
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Summary: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.
DOI:10.1109/APPEEC61255.2024.10922331