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In recent years, the power quality problems increasingly attracted people's attention. With the industrial scale and scientific and technological development, electrification, new processes, new technology is widely used in industrial production and people's lives. A variety of complex, sophisticated, sensitive high-tech electrical equipment growing popularity, the power requirements of power quality has been improving. At the same time, the rectifier in the power system, the impact of nonlinear loads are increasing. These non-linear loads often leads to grid waveform distortion, voltage fluctuations, voltage flicker and three-phase imbalance, the harm caused by the normal work of the safe operation of the power system and electrical equipment and the growing influence, has caused a power supply departments and the general attention of the majority of electricity consumers. In the electricity market environment, the energy has been transformed by the power sector to supply electricity and ancillary services to the power users a special commodity. Power quality monitoring and evaluation has become the premise of power quality management. Power quality monitoring and evaluation system is an important tool of modern power systems for power quality monitoring and management. In this paper, the attribute recognition theory for power quality objective measure properties of the data, the establishment of the index measure evaluation matrix. The use of indicators objectively right weight indicators measure matrix properties, proposed the G1-entropy weight method to determine the quality indicators of various energy the consolidated weight coefficient, to overcome the one-sidedness of the single weighting method to reduce the amount of computation, more scientific and comprehensive evaluation results, more accurate. In this paper, each module is a concrete realization of the model and design of the system of power quality monitoring and evaluation system, grid management personnel can be timely, detailed and accurate grasp of the grid power quality status. Systems rely on computer technology and network communication technology, modular design, has a strong scalability and compatibility. Geographic information module MapXtreme controls development, has a wealth of map information. Than the traditional power quality monitoring system, the system has made great progress, and enhance power quality management specification and interoperability, grid monitoring points together into a whole, to achieve power quality monitoring network, to ensure real-time data transmission, reliability.
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