Power system tracking state estimation based on stochastic fractal search technique under bad measurements conditions

Hossam Mosbah; M. E. El-Hawary

doi:10.1109/EPEC.2016.7771765

Power system tracking state estimation based on stochastic fractal search technique under bad measurements conditions

Hossam Mosbah, M. E. El-Hawary

Arts and Humanities

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Original language	English
Title of host publication	2016 IEEE Electrical Power and Energy Conference, EPEC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509019199
DOIs	https://doi.org/10.1109/EPEC.2016.7771765
Publication status	Published - Dec 5 2016
Event	2016 IEEE Electrical Power and Energy Conference, EPEC 2016 - Ottawa, Canada Duration: Oct 12 2016 → Oct 14 2016

Publication series

Name	2016 IEEE Electrical Power and Energy Conference, EPEC 2016

Conference

Conference	2016 IEEE Electrical Power and Energy Conference, EPEC 2016
Country/Territory	Canada
City	Ottawa
Period	10/12/16 → 10/14/16

ASJC Scopus Subject Areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/EPEC.2016.7771765

Cite this

Mosbah, H., & El-Hawary, M. E. (2016). Power system tracking state estimation based on stochastic fractal search technique under bad measurements conditions. In 2016 IEEE Electrical Power and Energy Conference, EPEC 2016 Article 7771765 (2016 IEEE Electrical Power and Energy Conference, EPEC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EPEC.2016.7771765

Power system tracking state estimation based on stochastic fractal search technique under bad measurements conditions. / Mosbah, Hossam; El-Hawary, M. E.
2016 IEEE Electrical Power and Energy Conference, EPEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7771765 (2016 IEEE Electrical Power and Energy Conference, EPEC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mosbah, H & El-Hawary, ME 2016, Power system tracking state estimation based on stochastic fractal search technique under bad measurements conditions. in 2016 IEEE Electrical Power and Energy Conference, EPEC 2016., 7771765, 2016 IEEE Electrical Power and Energy Conference, EPEC 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Electrical Power and Energy Conference, EPEC 2016, Ottawa, Canada, 10/12/16. https://doi.org/10.1109/EPEC.2016.7771765

Mosbah H, El-Hawary ME. Power system tracking state estimation based on stochastic fractal search technique under bad measurements conditions. In 2016 IEEE Electrical Power and Energy Conference, EPEC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7771765. (2016 IEEE Electrical Power and Energy Conference, EPEC 2016). doi: 10.1109/EPEC.2016.7771765

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Power system tracking state estimation based on stochastic fractal search technique under bad measurements conditions

Publication series

Conference

ASJC Scopus Subject Areas

UN SDGs

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