申洪涛,张超,李春睿,吴一敌.基于智能算法的煤改电用户负荷识别[J].电测与仪表,2023,60(7):83-87. Shen Hongtao,Zhang Chao,Li Chunrui,Wu Yidi.Load identification of coal to electricity users based on intelligent algorithm[J].Electrical Measurement & Instrumentation,2023,60(7):83-87.
基于智能算法的煤改电用户负荷识别
Load identification of coal to electricity users based on intelligent algorithm
The construction of ubiquitous power Internet of things makes it possible to provide users with more diversified and personalized service. In recent years, with the rapid development of the coal to electricity project, how to identify the coal to electricity users through the user load curve has be-come a research hotspot. First of all, the paper deeply analyzes the achievements and problems of the coal to electricity project at this stage. Using big data technology and ubiquitous power Internet of things technology can solve the contradictions and problems in the process of coal to electricity. Taking the load characteristics of coal to electricity users in a certain area as an example, the change of load characteristics after heating with regenerative electric boiler is described. By constructing the support vector machine model after particle swarm optimization, the typical daily power load data of a certain area in winter are identified and classified, Through the verification of the test set, the model established in this paper has a high recognition accuracy, with an average accuracy of 98%, which has a certain practical value.
