Paper Info
Title
Online Power Estimation of non-Ideal CPLs in Shipboard DC MGs using Cubature Kalman Filter
Abstract
DC microgrids (MG) used in DC shipboard power systems (SPS) involve the integration of power electronic loads, which might behave as constant power loads (CPL). The incremental negative impedance of CPLs might degrade system stability. To ensure an effective control of DC SPSs, eliminating the undesired behavior of CPLs is a necessity. This aim requires the spontaneous power value of the time-varying uncertain CPLs. Since integration of current sensors in DC MGs is costly and the resistance of these sensors degrades ripple filtering, estimation methods should be used to obtain the instantaneous power of CPLs. In this paper, a 3rd degree cubature Kalman filter (CKF) is developed to estimate the power of the CPLs alongside estimation of CPLs' and source's currents in a DC MG. By considering the CPLs powers as artificial states and augmenting them into the system states, not only the DC MG states but also the unknown values of the CPLs powers may be estimated. The proposed estimator is tested on a DC MG that feeds one CPL. The experimental results show that the proposed CKF is indeed able to estimate instantaneous power consumption of the CPL as well as source and load currents.
Year
DOI
Venue
2018
10.1109/EECS.2018.00009
2018 2nd European Conference on Electrical Engineering and Computer Science (EECS)
Keywords
Field
DocType
Shipboard power system (SPS),DC microgrid (MG),Constant power load (CPL),Cubature Kalman filter (CKF)
Control theory,Computer science,Cubature kalman filter
Conference
ISBN
Citations 
PageRank 
978-1-7281-1930-4
0
0.34
References 
Authors
6
6
Name
Order
Citations
PageRank
Shirin Yousefizadeh131.39
Navid Vafamand231.73
Jan Dimon Bendtsen34622.56
Mohammad Hassan Khooban414230.21
Frede Blaabjerg51195248.32
Tomislav Dragicevic614325.60