Abstract
Alarm messages for grid monitoring are an important way to supervise the operation of power grids. Since the use of alarm messages is increasing exponentially due to the continuous expansion of the scale of power grids, a processing method for alarm messages based on statistics is proposed in this study. Entropy theory in information theory is introduced into the calculation of information value in power-grid alarming. By means of multiple entropy definitions, an evaluation index system for information value is constructed. Based on the analytic hierarchy process (AHP), various alarm-message entropies are used as indices to comprehensively assess the information value and level of each alarm message. Finally, an example is given to illustrate the effectiveness and practicality of the proposed method. This study provides a new idea for the intelligent classification of alarm messages.
Highlights
IntroductionSystems display the operation of power grids to supervisors, and alarm messages constitute a data basis for fault diagnosis and decision analysis [1,2]
Using alarm messages for grid monitoring, Supervisory Control and Data Acquisition (SCADA)systems display the operation of power grids to supervisors, and alarm messages constitute a data basis for fault diagnosis and decision analysis [1,2]
In order to comprehensively assess the contribution of words in the entire monitoring alarm message base, we introduce Term Frequency-Inverse Document Frequency (TF-IDF) in information retrieval to the definition of alarm-message entropy
Summary
Systems display the operation of power grids to supervisors, and alarm messages constitute a data basis for fault diagnosis and decision analysis [1,2]. With renewable energy and electric vehicles connected to power grids, power data are becoming more abundant, and such data are highly valuable [3,4,5]. These data are stored in databases in the form of audio, text, and images [6]. The scale of power grids is gradually expanding, and the number of alarm messages as text data is growing exponentially. Until September 2017, more than 3500 substations with a voltage of 35–500 kV were connected, and the electricity consumption of the province exceeded
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