| With the rapid development of smart grid construction,China’s power system towards large units,high voltage,high automation direction,the power system measurement and protection equipment level requirements are increasingly stringent.The drawbacks of traditional contact measurement methods in the aspects of safety and real-time monitoring has become increasingly prominent,has been difficult to meet the requirements of the development of smart grid,under this background,the non-contact measurement of high voltage signal is slowly emerging to replace the traditional contact measurement,become the main development direction of power data detection.Therefore,the design of accurate and reliable high-voltage power data monitoring system is of great practical significance.In this paper,based on the 10 k V distribution of non contact measurement technology,makes some innovation from non-contact transformer design and power noise signal of current and voltage,the smart grid can meet the high precision and high automation requirements of non-contact measurement system design.First,this paper proposes an improved hollow coil current transformer based on the study of factors influencing mechanism of Rogowski coil measurement precision,from the structure and production process to make optimization of the Rogowski coil;the measurement circuit are improved,with feedback regulation and integral circuit with inertia,and combined with the piecewise linearization method to reduce the measurement error in the process of measurement caused by zero drift phenomenon.Secondly,this paper describes the design and optimization of the electric coupling and the inverse problem of voltage transformer based on power frequency electric field around the circuit analysis,and summarize the methods of solving the inverse problem,using the measurement and correction of plate plate work together with differential input and voltage correction mechanism to realize the improvement of measurement accuracy.Then,study mathematical morphology and quantum particle swarm algorithm,and proposes the morphological filtering algorithm based on improved QPSO algorithm,the adaptive QPSO algorithm is applied to the structure of mathematical morphological filter element optimization,and the process is optimized design.The general principle of selecting and chaotic sequence into structural elements in the particle initialization phase,increase the probability of global convergence of the algorithm;set the probability factor on individual variability,increased diversity to avoid premature algorithm.The superiority of filtering effect and speed is verified by simulation experiments.Finally,the design of each part of the non-contact measurement system,including non-contact current and voltage transformer,WIFI communication,PCB measurement circuit,the improved QPSO morphological filtering device and high voltage electric pickup device.The 10 k V high voltage simulation experiment platform is built to test the precision of the non-contact measurement system and verify its stable output capability under the condition of power quality transient disturbance.The experimental results show that the prototype system can meet the requirement of measurement accuracy and has good transient response ability. |