A Smart and Safe Electricity Consumption Model for Integrated Energy System Based on Electric Big Data

Abstract

In the integrated energy system, the smart and safe electricity consumption requires complex computation and faces high safety risk. To solve the problem, this paper designs a smart and safe electricity consumption model for integrated energy system based on electric big data. Firstly, an aggregate return index was designed based on clustering degree and dispersion degree to automatically optimize the number of classes, and facilitate the k-means clustering (KMC). Next, the optimization criterion for the behavior features of smart and safe electricity consumption was proposed, in which the effectiveness and correlations of the features are measured by the amount of mutual information and the degree of correlation, respectively. After that, the authors put forward a feature optimization strategy for smart and safe electricity consumption behaviors. By this strategy, effective and independent features were selected to form a simplified feature set for the clustering of smart and safe electricity consumption behaviors. On this basis, a smart and safe electricity consumption model was presented for integrated energy system. The effectiveness of our model was confirmed through example analysis.

Reliability Evaluation of Direct Current Distribution System for Intelligent Buildings Based on Big Data Analysis

“…Thanks to the progress in information technology, big data technology has been widely adopted by many industries. The reliability of the distribution system could be effectively enhanced, if big data management is integrated with the distribution system operation to mine the massive data collected by power detectors and sensors [18][19][20][21]. Through association analysis and clustering optimization, Wang et al [22] determined the relationship between historical states and fault features of devices, and established a multi-dimensional evaluation index system for reliability evaluation of the power system, based on the difference evaluation results of electronic devices.…”