Distributionally Robust Planning for Renewable Sources and Soft Open Points With Energy Storage under Multiple Uncertainties

With the rapid development of flexible interconnection technology in active distribution networks, many power electronic devices have been employed to improve system operational performance. As a novel fully-controlled power electronic device, energy storage integrated soft open point (E-SOP) is gradually replacing traditional. While E-SOP can bring significant operational benefits, its high cost will also affect its promotion and use in the distribution network. Thus, this paper proposes a coordinated planning method for DGs and E-SOPs. First, the structure and modelling of E-SOP is proposed. Secondly, based on this framework, the distributionally robust Co-optimization of the DG and E-SOP is established, Finally, case studies are conducted on IEEE 33-node system to prove the effectiveness of the proposed method.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/ic2ecs64405.2024.10928590
Primary Topic
Risk and Portfolio Optimization
Type
article
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article

Distributionally Robust Planning for Renewable Sources and Soft Open Points With Energy Storage under Multiple Uncertainties

Zuogang Guo, Xu Min, Huazhen Cao
Risk and Portfolio Optimization
article

Distributionally Robust Planning for Renewable Sources and Soft Open Points With Energy Storage under Multiple Uncertainties

Zuogang Guo, Xu Min, Huazhen Cao
article en

Abstract

With the rapid development of flexible interconnection technology in active distribution networks, many power electronic devices have been employed to improve system operational performance. As a novel fully-controlled power electronic device, energy storage integrated soft open point (E-SOP) is gradually replacing traditional. While E-SOP can bring significant operational benefits, its high cost will also affect its promotion and use in the distribution network. Thus, this paper proposes a coordinated planning method for DGs and E-SOPs. First, the structure and modelling of E-SOP is proposed. Secondly, based on this framework, the distributionally robust Co-optimization of the DG and E-SOP is established, Finally, case studies are conducted on IEEE 33-node system to prove the effectiveness of the proposed method.

China Southern Power Grid (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 66%
Risk and Portfolio Optimization
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