New Reliability Optimization Strategy of Transformer with Frequent Power Flow Switching Based on the New Power System Distribution Network
|更新时间:2026-05-21
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New Reliability Optimization Strategy of Transformer with Frequent Power Flow Switching Based on the New Power System Distribution Network
Vol. 63, Issue 5, (2026)
作者机构:
1. 国网山东省电力公司电力科学研究院
2. 输配电装备技术全国重点实验室重庆大学电气工程学院
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Published:2026
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Mengzhao Zhu, Xinjie Huang, Zhaoliang Zhao, et al. New Reliability Optimization Strategy of Transformer with Frequent Power Flow Switching Based on the New Power System Distribution Network[J]. 2026, 63(5).
DOI:
Mengzhao Zhu, Xinjie Huang, Zhaoliang Zhao, et al. New Reliability Optimization Strategy of Transformer with Frequent Power Flow Switching Based on the New Power System Distribution Network[J]. 2026, 63(5).DOI:
New Reliability Optimization Strategy of Transformer with Frequent Power Flow Switching Based on the New Power System Distribution Network
a large proportion of renewable energy is being integrated into the distribution network
changing the internal power flow of the distribution network
resulting in frequent power switching occurring between the transmission and distribution networks. To address the issue of transformer life degradation exacerbated by forward or reverse power transmission overload
this paper proposes a coordinated control strategy for various types of controllable resources in the distribution network to optimize transformer life under frequent current switching. Firstly
a transformer life calculation model is introduced
clarifying the strong positive correlation between transformer load rate and insulation life. Secondly
the internal changes of the transformer under frequent current switching are considered
and a coordinated control measure for controllable resources in the distribution network including a constraint on the upper threshold of transformer load rate is constructed and a corresponding solution strategy is proposed. This measure effectively improves the operating conditions of the transformer while ensuring the safety and economy of the distribution network voltage. Finally
simulation analysis on the improved IEEE-33 system shows that the proposed method can effectively reduce the maximum load rate of the transformer under various scenarios
providing scientific guidance for optimizing transformer life.