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Abstract-Harmonic monitoring has become an important tool for harmonic management in distribution system. A comprehensive harmonic monitoring program has been designed and implemented on a typical electrical medium-voltage distribution system in Australia. The monitoring program involved measurements of the three-phase harmonic currents and voltages from the residential, commercial, and industrial load sectors. Data over a three year period have been downloaded and available for analysis. The large amount of acquired data makes it difficult to identify operational events that significantly impact the harmonics generated on the system. More sophisticated analysis methods are required to automatically determine which part of the measurement data are of importance. Based on this information, a closer inspection of smaller data sets can then be carried out to determine the reasons for its detection. In this paper, we classify the measurement data using unsupervised learning based on clustering techniques using the minimum message length technique, which can provide the engineers with a rapid, visually oriented method of evaluating the underlying operational information contained within the clusters. Supervised learning is then used to describe the generated clusters and to predict the occurrences of unusual clusters in future measurement data. [ABSTRACT FROM AUTHOR]

The voltage-source inverter has an important role in electrical power sharing in microgrids, although, it requires a tight control and optimization technique to enhance performance and to improve power sharing. A sudden load change is a common phenomenon which may lead to fluctuations in the terminal voltages and load currents and eventually the system might become unstable. The PI control law represents one of the preferred control algorithms in industry, meanwhile its parameters need to be tuned to ensure its superiority. Two multi-objective optimization algorithms, the Genetic Algorithm, and the Water Cycle Algorithm, are proposed in this article to tune the controller gains. A microgrid consisting of two-parallel inverters is used to investigate the performance of the proposed tuning techniques where the system is analyzed in the dq-frame and the Space Vector Pulse Width Modulation was undertaken as a switching technique. MATLAB/SIMULINK simulations demonstrated the improved performance of the proposed approach. [ABSTRACT FROM AUTHOR]