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Publishing Language: Chinese | Open Access

Operational strategy for renewable energy consumption in green substations guided by reactive power monitoring

Wei WANG1,2Yifan YANG1,2Zhenya JI1,2Xue HAN1,2Qianhui CAI1,2
School of Electrical & Automation Engineering, Nanjing Normal University, Nanjing 210046, China
Jiangsu Province Comprehensive Energy Equipment and Integration International Joint Laboratory, Nanjing 210046, China
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Abstract

In response to the challenges posed by grid-connected node voltage exceeding the limit and output consumption during photovoltaic (PV) consumption systems into green substations, the operational strategy for renewable energy consumption in green substations guided by reactive power monitoring is proposed in this research. The primary objective of this strategy is to maximize PV consumption by analyzing the relationship between reactive power-voltage sensitivity and the load coverage rate. Through the decoupling of reactive power monitoring from active power consumption and the precise prediction of crucial variables such as active power surplus and reactive power compensation control correction quantities, a reactive power-voltage relationship model is constructed. Furthermore, through considering their current charge status and capacity constraints, a green substation consumption model with energy storage systems is established. Operational strategy for renewable energy consumption in green substations guided is formulated based on a reactive power-voltage relationship model. The model is solved using a improved particle swarm algorithm and validated via simulations on the IEEE 33-node system. Results demonstrate that the proposed strategy ensures stable grid-connected voltage while significantly enhancing PV consumption capacity.

CLC number: TM73 Document code: A

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Electric Power Engineering Technology
Pages 41-50

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Cite this article:
WANG W, YANG Y, JI Z, et al. Operational strategy for renewable energy consumption in green substations guided by reactive power monitoring. Electric Power Engineering Technology, 2026, 45(2): 41-50. https://doi.org/10.12158/j.2096-3203.2026.02.005

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Received: 19 June 2025
Revised: 02 October 2025
Published: 28 February 2026
© After publication of the article, the authors shall own the right of signature. 2026.

The authors can use or share the published article under the Attribution-Non Commercial 4.0 International (CC BY-NC 4.0) license.