Optimization scheduling strategy for flexible interconnected distribution network considering transformer offline

Based on the flexible interconnection technology with intelligent soft open point (SOP), new opportunities have arisen to address issues such as complex power flow and uneven load rates in existing distribution networks. However, most existing research focuses on load balancing strategies and N-1 fault tolerance, without fully considering the impact of flexible access and offline of distribution transformers on the losses in the distribution network. Therefore, this paper analyzes the impact of structural adjustments to the distribution transformer interconnection system on the comprehensive losses of the distribution network, and concludes that under low-load conditions, the offline of lightly loaded transformers optimizes the comprehensive losses of the distribution network. However, the offline of lightly loaded transformers leads to an increase in the remaining transformer load rates in the distribution station areas. To address this shortfall, this paper proposes an optimization scheduling strategy for flexible interconnected distribution networks considering transformer offline, by simultaneously utilizing shared energy storage on the DC side to balance transformer load rates and minimize losses. Finally, case studies based on an IEEE 18-node interconnected system are conducted to validate the proposed approach under two different scenarios. The results demonstrate that the proposed control strategy outperforms existing strategies by optimizing the comprehensive losses of the system, thereby enhancing its operational economy and reliability.

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Publication Details

Journal
Energy Reports
Published
2024-09-27
DOI
https://doi.org/10.1016/j.egyr.2024.09.035
Citations
2
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.42
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Optimization scheduling strategy for flexible interconnected distribution network considering transformer offline

Ziqi Zhou, Wenchao Li, An Wang, Yan Zhuang et al.
2 citations
Energy Reports
Optimal Power Flow Distribution
0.42
article

Optimization scheduling strategy for flexible interconnected distribution network considering transformer offline

Ziqi Zhou, Wenchao Li, An Wang, Yan Zhuang, Dan Pang, Zhenhao Wang, Donglin Wang
article en
2 citations

Abstract

Based on the flexible interconnection technology with intelligent soft open point (SOP), new opportunities have arisen to address issues such as complex power flow and uneven load rates in existing distribution networks. However, most existing research focuses on load balancing strategies and N-1 fault tolerance, without fully considering the impact of flexible access and offline of distribution transformers on the losses in the distribution network. Therefore, this paper analyzes the impact of structural adjustments to the distribution transformer interconnection system on the comprehensive losses of the distribution network, and concludes that under low-load conditions, the offline of lightly loaded transformers optimizes the comprehensive losses of the distribution network. However, the offline of lightly loaded transformers leads to an increase in the remaining transformer load rates in the distribution station areas. To address this shortfall, this paper proposes an optimization scheduling strategy for flexible interconnected distribution networks considering transformer offline, by simultaneously utilizing shared energy storage on the DC side to balance transformer load rates and minimize losses. Finally, case studies based on an IEEE 18-node interconnected system are conducted to validate the proposed approach under two different scenarios. The results demonstrate that the proposed control strategy outperforms existing strategies by optimizing the comprehensive losses of the system, thereby enhancing its operational economy and reliability.

Energy ReportsVol. 12
Electric Power University (VN), State Grid Corporation of China (China) (CN), Northeast Electric Power University (CN), Jilin Electric Power Research Institute (China) (CN)
Openalex Percentile: Top 38%
Optimal Power Flow Distribution
0.42
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