A Decentralized Information Filter for the State Estimation in Electrical Power Systems

This paper shows the performance of a state estimator based on a decentralized information filter applied to an electric power system for avionic and naval applications. The main characteristics of this type of approach are firstly the increased computational efficiency, due to the parallel distribution of the computational burden among the local estimators, secondly an increased reliability of the estimator do to the distribution of the resources and thirdly the scalability of the estimation system.

[1]  A. Monticelli,et al.  Electric power system state estimation , 2000, Proceedings of the IEEE.

[2]  Hugh Durrant-Whyte,et al.  Data Fusion and Sensor Management: A Decentralized Information-Theoretic Approach , 1995 .

[3]  Liam Murphy,et al.  Parallel and distributed state estimation , 1995 .

[4]  P. Zhang,et al.  Network Partitioning for Real-time Power System Simulation , 2005 .

[5]  D. Boroyevich,et al.  Ship power system control: a technology assessment , 2005, IEEE Electric Ship Technologies Symposium, 2005..

[6]  S.D. Sudhoff,et al.  Naval combat survivability testbeds for investigation of issues in shipboard power electronics based power and propulsion systems , 2002, IEEE Power Engineering Society Summer Meeting,.

[7]  E. Handschin,et al.  Static state estimation in electric power systems , 1974 .

[8]  Jose Antonio Beleza Carvalho,et al.  Parallel and distributed processing in state estimation of power system energy , 1998, MELECON '98. 9th Mediterranean Electrotechnical Conference. Proceedings (Cat. No.98CH36056).

[9]  A. Brameller,et al.  Practical Diakoptics for Electrical Networks , 1969 .

[10]  S. D. Sudhoff,et al.  STABILITY ANALYSIS METHODOLOGIES FOR DC POWER DISTRIBUTION SYSTEMS , 2003 .

[11]  B. Achiriloaie,et al.  VI REFERENCES , 1961 .

[12]  F. Ponci,et al.  A Distributed State Estimator for Electric Power Systems in Avionic and Naval Applications , 2006, 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings.

[13]  Francis J. Doyle,et al.  A distributed state estimation and control algorithm for plantwide processes , 2003, IEEE Trans. Control. Syst. Technol..

[14]  G. N. Korres,et al.  A Partitioned State Estimator for External Network Modeling , 2002, IEEE Power Engineering Review.

[15]  Arthur G. O. Mutambara,et al.  Decentralized Estimation and Control for Multisensor Systems , 2019 .

[16]  H. F. Durrant-Whyte,et al.  Fully decentralised algorithm for multisensor Kalman filtering , 1991 .

[17]  K. K. Fung,et al.  Fast decoupled simulation of large power electronic systems using new two-port companion link models , 1997 .