The Research Of Grid Equipment Condition Evaluation Model And Maintenance Decision System Under The Internet Of Things

With the economic development and the increasing demand for electronic power, the grid is from isolated cities into a regional power grid and West to East Power Transmission Project, power exchange between South and North as well as energy internet are developing. Meanwhile, the power grid scale and the total capacity of power system are also rapidly expanding, which raise higher demands in the security, reliability and stability of power system. Moreover, in the developing process, the security and stability of grid equipment, are the important prerequisite for ensuring reliable supply and stably running power grid. Therefore, it is particularly urgent for us to improve the real-time processing ability for state evaluation of power grid equipment and decision-making ability for state maintenance.In the present study, the state evaluation of power grid equipment, risk decision for state maintenance and decision support system (DSS) were studied focusing on power grid equipment, basing on the state evaluation and maintenance of equipment as well as regarding the intelligent online monitoring as the direction. Concretely speaking, in the research, the framework and feal-time evaluation model of grid equipment were constructed in view of internet of things. On the basis, the real-time state of transformer was evaluated using grey clustering analysis and variable weight theory considering the grey characteristic of equipment, and extremely biased and threshold characteristics of index. The state maintenance model was built at three levels including state maintenance base, tactics and decision. Then the evaluation language value was group aggregated and interval value transformed using cloud model considering the randomness and fuzziness of language value. Likewise, in consideration of the subjective preference of decision makers on equipment maintenance and the objectivity of actual data, the index weight was determined by combination weight based on maximum deviation. Besides, the grid equipment maintenance was integrated decision made by improved VIKOR extending method. On the basis of on-line monitoring technology and theory research, the requirements for decision support system were analyzed, the function of the system platform was generally and specifically designed and finally the system platform for power grid equipment maintenance was constructed.