Data Analysis Techniques Applied to Distribution Systems: A Systematic Mapping Study.

The increasing electricity demand has led the conventional distribution system to evolve into the smart grid context. One of the advantages of this intelligent system is the ability to estimate the states of a grid. Implementing a state estimator in distribution networks requires much analysis – such as the observability of an extensive system, big data techniques for data processing, and the use of artificial intelligence to generate predictions and protect the control system against cyber-attacks. This systematic mapping study covers 15148 articles, selecting 37 for further research and discussion. The reports offer different state estimators and techniques to improve performance, for instance, solutions against malicious data, optimal meter allocation, and voltage control. In addition to these topics, this article discusses different approaches to generate pseudo measurements. Probabilistic and deterministic, machine learning, and neural network models appear as a trend. The studies show the main methods used for data collection, offering a trend toward smart meters. [ABSTRACT FROM AUTHOR]