HIGHLIGHTS
- who: Comparisons on Kalman-Filter-Based Dynamic and colleagues from the School of Electrical Engineering, Guangxi University, Nanning, China have published the research: Comparisons on Kalman-Filter-Based Dynamic State Estimation Algorithms of Power Systems, in the Journal: (JOURNAL) of February/27,/2020
- what: In this paper, four Kalmanfilter-based algorithms (i.e., extended Kalman filter, unscented Kalman filter, cubature Kalman filter, and ensemble Kalman filter) are compared to show their differences from implementation complexity, estimation accuracy and calculation efficiency, the resistance to measurement errors, and the sensitivity to system scales. There is no standard . . .
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