Dynamic research and analysis of manipulate and keep of electric energy metering equipment based on fuzzy control

With the continuous improvement of manipulate and keep requirements of electric energy metering equipment, the traditional manipulate mode has long been unable to meet the new requirements. It is revealed that the commonly used fuzzy control algorithms can be attributed to some interpolation method, which is an approximation to the response function, equivalent to the fitting of the discrete response function. Aiming at the problems of unscientific task allocation, unreasonable path planning and inability to respond to dynamic demand in the traditional mode of manipulate and keep in power grid enterprises, a new dynamic optimization model and its solution algorithm are proposed. The continuous increase of social electricity consumption brings challenges to electric power enterprises, but also provides opportunities for the expand of electric power enterprises. As an indispensable part of electric power production and manipulate, electric energy measurement is directly linked with the economic benefits of enterprises. The purpose of this paper is to analyze the electric energy measurement based on the research of model control. In the research, the corresponding algorithm formula and model diagram are established to analyze it. In the research, it can be known that the manipulate and keep of its electric energy metering equipment will have a certain impact on it, reaching 50.42%. The research in this paper has important reference value and foundation for the future research in the fields of electric energy measurement.