Research And Design Of Micro-Meteorology Monitoring System For Smart Grid

The upgrading of traditional power grid to smart grid has become the indisputabletrend in the development of Electric Power Industry. In order to meet the requirements ofinformation in smart grid, the collection and real-time communication of parameters aboutthe operating status of power grid equipments has become a certain choice. About all ofthese parameters, the micro-meteorology data information has an important impact on thenormal operation of power grid equipment. As the limited range of micro-meteorologyenvironment, data that describe it can hardly be obtained from meteorology department.And the traditional methods used for the acquisition of micro-meteorology data hasshortcomings on the single monitoring element, limited monitoring area due to networkingrequirements and power-supply, slow and simple data presentation, lack of specificmeteorology data analysis which resulted to the failure of taking full advantage of data.For these shortcomings, this paper proposed to combine the smart-sensortechnology,.Net Framework and machine-learning technology together to build amicro-meteorology information monitoring system for smart grid which has a wide sourceof data, friendly user-interface and takes fully use of information. This paper respectivelydoes research on the acquisition of micro-meteorology data, the communication of data,the storage/analysis of data, then puts them together and designs a micro-meteorologyinformation monitoring system for smart grid.Select Microsoft’s.Net framework for the development of system’s software,finished the design of software on data-storage, data-receiving and processing ofmicro-meteorology information. Then apply the BP Neural Network for the short-timehumidity alarm prediction in the monitoring point, which increases the utilization percentof system’s information. By the research and use of the system, the information level ofgrid can be improved, a remote real-time monitoring for equipments’ micro-meteorologyenvironment data in power-grid can be realized, thus meets the requirements on micro-meteorology data collection, storage and analysis in smart grid, and provides morereferences for grid managers.