@inproceedings{4ac337bcc8b447c382737778edd98053,
title = "Optimum shunt capacitor placement in distribution networks with high penetration of renewable energy resources using genetic algorithms",
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.",
keywords = "Active distribution networks, capacitor planning, genetic algorithm, renewable energy resources",
author = "Farag, {Hany E.Z.} and El-Saadany, {Ehab F.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014 ; Conference date: 12-10-2014 Through 15-10-2014",
year = "2015",
month = jan,
day = "30",
doi = "10.1109/ISGTEurope.2014.7028929",
language = "British English",
series = "IEEE PES Innovative Smart Grid Technologies Conference Europe",
publisher = "IEEE Computer Society",
number = "January",
booktitle = "2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014",
address = "United States",
edition = "January",
}
