EKF for Power Estimation of Uncertain Time-varying CPLs in DC Shipboard MGs

Navid Vafamand, Shirin Yousefizadeh, Mohammad Hassan Khooban, Jan Dimon Bendtsen, Tomislav Dragicevic

Research output: Contribution to conference without publisher/journalConference abstract for conferenceResearchpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Publication date2018
Number of pages6
DOIs
Publication statusPublished - 2018
EventProceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018) -
Duration: 23 Oct 2018 → …

Conference

ConferenceProceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018)
Period23/10/2018 → …

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Extended Kalman filters
Sensors

Keywords

  • Shipboard power system (SPS); DC microgrid (MG); Constant power load (CPL); Extended Kalman filter (EKF).

Cite this

Vafamand, N., Yousefizadeh, S., Khooban, M. H., Bendtsen, J. D., & Dragicevic, T. (2018). EKF for Power Estimation of Uncertain Time-varying CPLs in DC Shipboard MGs. 1-6. Abstract from Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018), . https://doi.org/10.1109/IECON.2018.8591350
Vafamand, Navid ; Yousefizadeh, Shirin ; Khooban, Mohammad Hassan ; Bendtsen, Jan Dimon ; Dragicevic, Tomislav. / EKF for Power Estimation of Uncertain Time-varying CPLs in DC Shipboard MGs. Abstract from Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018), .6 p.
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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.",
keywords = "Shipboard power system (SPS); DC microgrid (MG); Constant power load (CPL); Extended Kalman filter (EKF).",
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Vafamand, N, Yousefizadeh, S, Khooban, MH, Bendtsen, JD & Dragicevic, T 2018, 'EKF for Power Estimation of Uncertain Time-varying CPLs in DC Shipboard MGs' Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018), 23/10/2018, pp. 1-6. https://doi.org/10.1109/IECON.2018.8591350

EKF for Power Estimation of Uncertain Time-varying CPLs in DC Shipboard MGs. / Vafamand, Navid; Yousefizadeh, Shirin; Khooban, Mohammad Hassan; Bendtsen, Jan Dimon; Dragicevic, Tomislav.

2018. 1-6 Abstract from Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018), .

Research output: Contribution to conference without publisher/journalConference abstract for conferenceResearchpeer-review

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T1 - EKF for Power Estimation of Uncertain Time-varying CPLs in DC Shipboard MGs

AU - Vafamand, Navid

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AU - Bendtsen, Jan Dimon

AU - Dragicevic, Tomislav

PY - 2018

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N2 - 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.

AB - 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.

KW - Shipboard power system (SPS); DC microgrid (MG); Constant power load (CPL); Extended Kalman filter (EKF).

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Vafamand N, Yousefizadeh S, Khooban MH, Bendtsen JD, Dragicevic T. EKF for Power Estimation of Uncertain Time-varying CPLs in DC Shipboard MGs. 2018. Abstract from Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018), . https://doi.org/10.1109/IECON.2018.8591350