Optimal allocation and control of fixed and switched capacitor banks on distribution systems using grasshopper optimisation algorithm with power loss sensitivity and rough set theory-Reference-Cited by-同舟云学术

Optimal allocation and control of fixed and switched capacitor banks on distribution systems using grasshopper optimisation algorithm with power loss sensitivity and rough set theory

Published:2019-08-07 Issue:17 Volume:13 Page:3863-3878
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Elsayed Abdullah M.¹²^ORCID,Mishref Mohammed M.³,Farrag Sobhy M.²

Affiliation:

1. Electrical Engineering DepartmentFaculty of EngineeringDamietta UniversityNew Damietta34517Egypt

2. Electrical Engineering DepartmentFaculty of EngineeringMenoufia UniversityShebin El‐kom32511Egypt

3. Elatf Power StationMiddle Delta Electric Production CompanyMahmoudiaEgypt

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2018.5494

Reference47 articles.

1. A modified genetic algorithm for optimal allocation of capacitor banks in mv distribution networks;Augugliaro A.;Intell. Ind. Syst.,2015

2. Optimal capacitor placement in radial distribution feeders using fuzzy‐differential evolution for dynamic load condition;Kannan S.;J. Inst. Eng. India Ser.,2015

3. Optimal placement and sizing of capacitor using Limaçon inspired spider monkey optimization algorithm;Sharma A.;Memet. Comput.,2017

4. Optimal capacitor placement in distribution system for power loss reduction and voltage profile improvement;Abou‐El‐Ela A.;IET Gener. Transm. Distrib.,2016

5. Capacitor placement of distribution systems using particle swarm optimization approaches

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