Abstract
To improve the reliability of power grid fault diagnosis by enhancing the processing ability of uncertain information and adequately utilizing the alarm information about power grids, a fault diagnosis method using intuitionistic fuzzy Petri Nets based on time series matching is proposed in this paper. First, the alarm hypothesis sequence and the real alarm sequence are constructed using the alarm information and the general grid protection configuration model, and the similarity of the two sequences is used to calculate the timing confidence. Then, an intuitionistic fuzzy Petri Nets fault diagnosis model, with an excellent ability to process uncertain information from intuitionistic fuzzy sets, is constructed, and the initial place value of the model is corrected by the timing confidence. Finally, an application of the fault diagnosis model for the actual grid is established to analyze and verify the diagnostic results of the new method. The results for some test cases show that the new method can improve the accuracy and fault tolerance of fault diagnosis, and, furthermore, the abnormal state of the component can be inferred.
Highlights
With the development of the power grid, an increasing number of new energy sources, such as solar energy, photovoltaics, and wind energy [1], have been integrated into power grids, which poses a potential threat to the safe operation of the grids [2]
The mainly grid fault diagnosis method is that power grid dispatchers use the data which from Supervisory Control And Data Acquisition (SCADA) and their own experience to analyze the fault
Wang L, Sun J [12, 13] proposed a fault diagnosis model based on fuzzy Petri Nets to solve the uncertainty of protection and circuit breaker action in grids
Summary
With the development of the power grid, an increasing number of new energy sources, such as solar energy, photovoltaics, and wind energy [1], have been integrated into power grids, which poses a potential threat to the safe operation of the grids [2]. Wang L, Sun J [12, 13] proposed a fault diagnosis model based on fuzzy Petri Nets to solve the uncertainty of protection and circuit breaker action in grids. In [16], a fuzzy Petri Nets fault diagnosis method, considering protection and circuit breaker action timing, was proposed, which improved the ability of handling uncertain information and fault tolerance. (2) To establish an intuitionistic fuzzy Petri Nets fault diagnosis model, the intuitionistic fuzzy algorithm is used to deal with the membership degree and nonmembership degree relationship of the alarm information, when the fault occurs, which can improve the model’s ability to deal with uncertain and incomplete alarm information.
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