Optimal meter placement using genetic algorithm to maintain network observability

Expert Systems with Applications

Volumn 31, Issue 1, 2006, Pages 193-198

  El Zonkoly, Amany ^a  

^a Egypt Mansoura University   (Egypt)

Author keywords

Artificial intelligence; Meter placement; Network observability; State estimation

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION MAKING; ELECTRIC POWER SYSTEMS; GENETIC ALGORITHMS; INSTRUMENTS;

METER PLACEMENT; NETWORK OBSERVABILITY; STATE ESTIMATION;

MEASUREMENT THEORY;

EID: 33644780884     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.09.016     Document Type: Article

References (17)

1. S. Aam, L. Holten, and O. Gjerde Design of the measurement system for state estimation in the Norwegian high-voltage transmission network IEEE Transactions on PAS PAS-102 1983 3769 3777
2. A. Abur, and F.H. Magnago Optimal meter placement for maintaining observability during single branch outages IEEE Transactions on Power Systems 14 1999 1273 1278
3. M.E. Baran, J. Zhu, H. Zhu, and K.E. Garren A meter placement method for state estimation IEEE Transactions on Power Systems 10 1995 1704 1710
4. M.K. Celik, and W.H.E. Liu An incremental measurement placement algorithm for state estimation IEEE Transactions on Power Systems 10 1995 1698 1703
5. K.A. Clements, G.R. Krumpholz, and P.W. Davis Power system state estimation with measurement deficiency: An observability/measurement placement algorithm IEEE Transactions on PAS PAS-102 1983 2012 2020
6. B. Gou, and A. Abur A direct numerical method for observability analysis IEEE Transactions on Power Systems 15 2000 625 630
7. Gouvea, J. P. S., & SimoesCosta, A. J. A. (1996). Critical pseudo-measurement placement in power system state estimation. In Proceeding of the 12th power systems computation conference, Dresden, Germany.
8. E.E. Fetzer, and P.M. Anderson Observability in the state estimation of power systems IEEE Transactions on PAS 6 1975 1981 1988
9. Koglin, H. J. (1975). Optimal measuring system for state estimation. In Proceeding of PSCC, Cambridge, UK, paper no.2.3/12.
10. G.N. Korres, and G.C. Contaxis A tool for the evaluation and selection of state estimator measurement schemes IEEE Transactions on Power Systems 9 1994 1110 1116
11. F.H. Magnago, and A. Abur A unified approach to robust meter placement against loss of measurements and branch outages IEEE Transactions on Power Systems 15 2000 945 949
12. B. Milosevic, and M. Begovic Nondominated sorting genetic algorithm for optimal phasor measurement placement IEEE Transactions on Power Systems 18 2003 69 75
13. A. Momticelli, and F.F. Wu Network observability: Identification of observable islands and measurement placement IEEE Transactions on PAS PAS-104 1985 1035 1041
14. Y.M. Park, Y.H. Moon, J.B. Choo, and T.W. Kwon Design of reliable measurement system for state estimation IEEE Transactions on Power Systems 3 1988 830 836
15. H. Saadat Power system analysis 1994 McGraw-Hill, Inc. New York
16. N.D.R. Sarma, V.V. Raju, and K.S. Prakasa Rao Design of telemetering configuration for energy management systems IEEE Transactions on Power Systems 9 1994 770 778
17. H. Wang, and N.N. Schulz A revised branch current-based distribution system state estimation algorithm and meter placement impact IEEE Transactions on Power Systems 19 2004 207 213