DISTRIBUTED COLLABORATIVE OPTIMIZATION METHOD FOR TRANSIENT REACTIVE POWER OF NEW ENERGY STATION BASED ON BILSTM-GCN

Lu Guoqiang; Wang Kai; An Na; Wang Zhaolei

doi:10.19912/j.0254-0096.tynxb.2024-1714

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 266-278. DOI: 10.19912/j.0254-0096.tynxb.2024-1714

DISTRIBUTED COLLABORATIVE OPTIMIZATION METHOD FOR TRANSIENT REACTIVE POWER OF NEW ENERGY STATION BASED ON BILSTM-GCN

Lu Guoqiang¹, Wang Kai^1,2, An Na^1,2, Wang Zhaolei³

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Abstract

Aiming at the problem of insufficient reactive power support capacity of new energy stations under the increasing proportion of DC new energy power generation resources such as photovoltaic and energy storage connected to the power grid, a distributed collaborative optimization method for transient reactive power of new energy stations based on graph convolutional network （GCN） and bidirectional long short-term memory network （BiLSTM） is proposed. Firstly, by constructing the equivalent model of the new energy station system with multiple reactive power resource access, the transient reactive power characteristics of the new energy station under the access of multiple reactive power resources are studied, and the transient reactive power model of the new energy station is established. Then, with the optimization objective of the operating cost of reactive power resources in new energy stations, the transient reactive power collaborative optimization model of new energy stations is established, and the optimization model is solved by combining BiLSTM-GCN. Finally, the near-field simulation system model of new energy station is built, and the effectiveness of the transient reactive power collaborative optimization method proposed in this paper is verified by simulation.

Key words

new energy station / reactive power resources / transient analysis / collaborative optimization / BiLSTM-GCN

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Lu Guoqiang, Wang Kai, An Na, Wang Zhaolei. DISTRIBUTED COLLABORATIVE OPTIMIZATION METHOD FOR TRANSIENT REACTIVE POWER OF NEW ENERGY STATION BASED ON BILSTM-GCN[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 266-278 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1714

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