State Estimation method for Regional new Energy Power system Under Multi-source data Fusion
When evaluating the status of new energy power systems,traditional single threshold evaluation methods cannot effectively handle diverse data under different states,resulting in distorted fault data and affecting the erroneous evaluation of the power system status.Based on this,the article proposes a state assessment method for regional new energy power systems under multi-source data fusion.By analyzing the composition structure and working principle of the new energy power system,a regional new energy power system state evaluation standard is set.Multi source data fusion technology is used to obtain power system operation data and calculate instantaneous amplitude,frequency,distortion degree and other state parameters.Comparison and analysis are carried out with the set fixed standard to obtain accurate evaluation results of the regional new energy power system state.The test results show that in the environments of wind and photovoltaic new energy power systems,compared with traditional methods,the evaluation error of the state parameters output by the research method is significantly reduced,and it has higher evaluation ability and application value.
multi source data fusionregional power generationnew energy generationpower systemstate estimation
万方数据
维普
