Site Characterization Index for Continuous Power Quality Monitoring Based on Higher-order Statistics

Abstract

The high penetration of distributed generation (DG) has set up a challenge for energy management and consequently for the monitoring and assessment of power quality (PQ). Besides, there are new types of disturbances owing to the uncontrolled connections of non-linear loads. The stochastic behaviour triggers the need for new holistic indicators which also deal with big data of PQ in terms of compression and scalability so as to extract the useful information regarding different network states and the prevailing PQ disturbances for future risk assessment and energy management systems. Permanent and continuous monitoring would guarantee the report to claim for damages and to assess the risk of PQ distortions. In this context, we propose a measurement method that postulates the use of two-dimensional (2D) diagrams based on higher-order statistics (HOSs) and a previous voltage quality index that assesses the voltage supply waveform in a continous monitoring campaign. Being suitable for both PQ and reliability applications, the results conclude that the inclusion of HOS measurements in the industrial metrological reports helps characterize the deviations of the voltage supply waveform, extracting the individual customers'pattern fingerprint, and compressing the data from both time and spatial aspects. The method allows a continuous and robust performance needed in the SG framework. Consequently, the method can be used by an average consumer as a probabilistic method to assess the risk of PQ deviations in site characterization.

Analysis method of voltage quality in distribution station area based on high‐speed power line carrier and GA‐ANN in smart grid

“…Florencias et al. [10] proposed a two‐dimensional graph voltage quality index evaluation method based on higher‐order statistics, which can continuously monitor voltage supply waveform and improve the accuracy of monitoring and evaluation of power quality of high permeability power grid. Wen‐Xi et al.…”

“…Kou et al [9] proposed a data acquisition platform for renewable energy power generation, which can conduct real-time data collection, event storage, alarm and analysis, and effectively monitor the power quality of the grid, but lacks follow-up data processing and is not robust. Florencias et al [10] proposed a twodimensional graph voltage quality index evaluation method based on higher-order statistics, which can continuously monitor voltage supply waveform and improve the accuracy of monitoring and evaluation of power quality of high permeability power grid. Wen-Xi et al [11] proposed a voltage quality monitoring method based on adaptive generalised morphological filter, and accurately extracted the multi-dimensional characteristics of voltage waveform to achieve better power quality monitoring.…”