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 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.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922331
Primary Topic
Power Systems and Technologies
Type
article
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Joint Planning Method for Intelligent Soft Open Point and Energy Storage in Distribution Network Based on Improved DC Power Flow

Jianbang Du, Shunzhen Zhang, Xu Tian, Xingwen Liu et al.
Power Systems and Technologies
article

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

Jianbang Du, Shunzhen Zhang, Xu Tian, Xingwen Liu, Cunqiang Huang
article en

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.

State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 73%
Power Systems and Technologies
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