Evaluation of Operation State of Power Grid Based on Random Matrix Theory and Qualitative Trend Analysis
Jie Yang,
Weiqing Sun () and
Meiling Ma
Additional contact information
Jie Yang: Department of Electrical Engineering, College of Mechanical Engineering, The University of Shanghai for Science and Technology, Shanghai 200093, China
Weiqing Sun: Department of Electrical Engineering, College of Mechanical Engineering, The University of Shanghai for Science and Technology, Shanghai 200093, China
Meiling Ma: Department of Electrical Engineering, College of Mechanical Engineering, The University of Shanghai for Science and Technology, Shanghai 200093, China
Energies, 2023, vol. 16, issue 6, 1-16
Abstract:
Bulk power grid interconnection and the access of various smart devices make the current grid highly complex. Timely and accurately identifying the power grid operation state is crucial for monitoring the operation stability of the power grid. For this purpose, an evaluation method of the power grid operation state based on random matrix theory and qualitative trend analysis is proposed. This method constructs two evaluation indicators based on the operation data of the power grid, which cannot only find out whether the current state of the power grid is stable but can also find out whether there is a bad operation trend in the current power grid. Compared with the traditional method, this method analyzes the power grid’s operation state from the big data perspective. It does not need to consider the complex network structure and operation mechanism of the actual power grid. Finally, the effectiveness and feasibility of the method are verified by the simulations of the IEEE 118-bus system.
Keywords: bulk power grids; stable operation of power grid; big data; random matrix theory; qualitative trend analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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