Abstract
At present, China's power market reform is under planning, and there is an urgent need to establish a power market evaluation system. Among them, power market trading platform operation data and power grid operation data are valuable data resources that can be used for the power market. The data of the power trading center has the characteristics of big data such as large amount of data, many kinds of data, and particularly fast growth rate. In this paper, we propose an object-oriented power market evaluation method, which dismantles the power market evaluation from three aspects: object, behavior analysis and index system. Facing the object of power market evaluation, the indicators are divided into five categories. Market behavior category traditional data processing technology and service can no longer meet the needs of all parties in the power market, so it is necessary to establish the power market evaluation index system on the basis of massive data, establish the framework structure of the index system from the perspective of each object in the power market, establish the indexes required by the object, optimize the information service mode of the power market, optimize resource allocation and improve production efficiency.
Published Version
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