Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms

Hany E.Z. Farag; Ehab F. El-Saadany

doi:10.1109/ISGTEurope.2014.7028929

Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms

Electrical Engineering

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

5 Scopus citations

Abstract

This paper proposes a probabilistic formulation for the problem of shunt capacitor placement in distribution networks. The proposed formulation takes into consideration the stochastic nature of renewable energy resources. Genetic Algorithm has been used to solve the formulated optimization problem. Simulation studies have been carried out to validate the proposed approach. The simulation results show that the proposed probabilistic formulation will facilitate a proper capacitors placement in future distribution networks with high penetration of distributed generation and renewable energy resources.

Original language	British English
Title of host publication	2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014
Publisher	IEEE Computer Society
Edition	January
ISBN (Electronic)	9781479977208
DOIs	https://doi.org/10.1109/ISGTEurope.2014.7028929
State	Published - 30 Jan 2015
Event	2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014 - Istanbul, Turkey Duration: 12 Oct 2014 → 15 Oct 2014

Publication series

Name	IEEE PES Innovative Smart Grid Technologies Conference Europe
Number	January
Volume	2015-January

Conference

Conference	2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014
Country/Territory	Turkey
City	Istanbul
Period	12/10/14 → 15/10/14

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Active distribution networks
capacitor planning
genetic algorithm
renewable energy resources

Access to Document

10.1109/ISGTEurope.2014.7028929

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Farag, H. E. Z., & El-Saadany, E. F. (2015). Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms. In 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014 (January ed.). Article 7028929 (IEEE PES Innovative Smart Grid Technologies Conference Europe; Vol. 2015-January, No. January). IEEE Computer Society. https://doi.org/10.1109/ISGTEurope.2014.7028929

Farag, Hany E.Z. ; El-Saadany, Ehab F. / Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms. 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014. January. ed. IEEE Computer Society, 2015. (IEEE PES Innovative Smart Grid Technologies Conference Europe; January).

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abstract = "This paper proposes a probabilistic formulation for the problem of shunt capacitor placement in distribution networks. The proposed formulation takes into consideration the stochastic nature of renewable energy resources. Genetic Algorithm has been used to solve the formulated optimization problem. Simulation studies have been carried out to validate the proposed approach. The simulation results show that the proposed probabilistic formulation will facilitate a proper capacitors placement in future distribution networks with high penetration of distributed generation and renewable energy resources.",

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Farag, HEZ & El-Saadany, EF 2015, Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms. in 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014. January edn, 7028929, IEEE PES Innovative Smart Grid Technologies Conference Europe, no. January, vol. 2015-January, IEEE Computer Society, 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014, Istanbul, Turkey, 12/10/14. https://doi.org/10.1109/ISGTEurope.2014.7028929

Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms. / Farag, Hany E.Z.; El-Saadany, Ehab F.
2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014. January. ed. IEEE Computer Society, 2015. 7028929 (IEEE PES Innovative Smart Grid Technologies Conference Europe; Vol. 2015-January, No. January).

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

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Farag HEZ , El-Saadany EF. Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms. In 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014. January ed. IEEE Computer Society. 2015. 7028929. (IEEE PES Innovative Smart Grid Technologies Conference Europe; January). doi: 10.1109/ISGTEurope.2014.7028929

Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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