Proactive Prevention Strategies for Grid Risk Scenarios Based on Pumped Storage Participation

Hui-Qing Deng; Hui Wu; Zhi-Wei Liang; Pang-Rong Zheng; Jun-Fu Shen

doi:10.46604/ijeti.2024.13635

Authors

Hui-Qing Deng School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, Fujian Province, China/Fujian University Engineering Research Center for Simulation Analysis and Integrated Control of Smart Grid, Fuzhou, Fujian Province, China
Hui Wu School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, Fujian Province, China
Zhi-Wei Liang School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, Fujian Province, China
Pang-Rong Zheng School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, Fujian Province, China
Jun-Fu Shen School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, Fujian Province, China

DOI:

https://doi.org/10.46604/ijeti.2024.13635

Keywords:

transmission line, electric betweenness, pumped storage, cascading tripping, uncertainty

Abstract

Given the increasing importance of cascading trip prevention, this study presents the pumped storage characteristics to cooperate with thermal units and further ensure the safety of grid operation. The proposed model comprises two phases: the first phase is the day-ahead decision-making phase, which synergistically optimizes thermal units and pumped storage to improve the flexibility of grid operation; the second phase is the intra-day adjustment phase considering the uncertainty of the wind-photovoltaic and transmission line failure outage to enhance the robustness. Furthermore, this model employs a column and constraint generation algorithm to solve the two-phase, three-layer optimization problem, thereby minimizing the adjustment cost under the riskiest scenarios. The experimental results show that adding pumped storage reduces the total system operating cost by 3.99%, the renewable energy abandonment rate to 0.65%, and the thermal power unit output standard deviation to 74.13 MW.

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