Paper Info
Title
Ekf For Power Estimation Of Uncertain Time-Varying Cpls In Dc Shipboard Mgs
Abstract
The stability of DC microgrids (DC MG) that are connected to constant power loads (CPL) is of prime importance for the operation of shipboard power systems (SPS). To control the DC MG of SPS effectively, the instantaneous power value of the time-varying uncertain CPLs is necessary. Since the integration of current sensors is costly and the resistance of these sensors degrades ripple filtering, instantaneous power estimation of CPLs is proposed. This paper investigates the development of an extended Kalman filter (EKF) to estimate the power of time-varying uncertain CPLs alongside estimation of CPLs' and sources' currents in a DC MG. By augmenting the CPLs powers into the DC MG states, a joint estimation problem is presented to effectively estimate the currents of the DC MG as well as the CPLs powers values. The proposed approach is applied to a DC MG that feeds one CPL. Experimental results show the effectiveness of the proposed EKF in the estimation of instantaneous CPLs powers and the currents of the CPLs and the source.
Year
DOI
Venue
2018
10.1109/IECON.2018.8591350
IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
Keywords
Field
DocType
Shipboard power system (SPS), DC microgrid (MG), Constant power load (CPL), Extended Kalman filter (EKF)
Extended Kalman filter,Control theory,Electric power system,Filter (signal processing),Power (physics),Engineering,Ripple
Conference
ISSN
Citations 
PageRank 
1553-572X
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Navid Vafamand131.73
Shirin Yousefizadeh231.39
Mohammad Hassan Khooban314230.21
Jan Dimon Bendtsen44622.56
Tomislav Dragicevic514325.60