M
M. Ladjevardi
Researcher at Iran University of Science and Technology
Publications - 6
Citations - 429
M. Ladjevardi is an academic researcher from Iran University of Science and Technology. The author has contributed to research in topics: Capacitor & Switched capacitor. The author has an hindex of 4, co-authored 6 publications receiving 409 citations.
Papers
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Journal ArticleDOI
Optimal placement, replacement and sizing of capacitor Banks in distorted distribution networks by genetic algorithms
TL;DR: In this article, a GA-based approach for simultaneous power quality improvement and optimal placement and sizing of fixed capacitor banks in radial distribution networks in the presence of voltage and current harmonics is presented.
Journal ArticleDOI
Fuzzy approach for optimal placement and sizing of capacitor banks in the presence of harmonics
TL;DR: In this article, a fuzzy-based approach for optimal placement and sizing of fixed capacitor banks in radial distribution networks in the presence of voltage and current harmonics is presented, where a suitable combination of objective function and constraints is generated as a criterion to select the most suitable bus for capacitor placement.
Journal ArticleDOI
Application of local variations and maximum sensitivities selection for optimal placement of shunt capacitor banks under nonsinusoidal operating conditions
TL;DR: In this paper, a new iterative algorithm is proposed for optimal sizing and placement of fixed and switched capacitor banks in radial distribution lines in the presence of linear and nonlinear loads.
Proceedings ArticleDOI
Optimal placement and sizing of fixed and switched capacitor banks under nonsinusoidal operating conditions
TL;DR: In this article, an iterative nonlinear algorithm is generated for optimal sizing and placement of fixed and switched capacitor banks on radial distribution lines in the presence of linear and nonlinear loads.
Proceedings ArticleDOI
Optimal placement and sizing of capacitor banks in distorted distribution networks by genetic algorithms
TL;DR: In this article, a new genetic algorithm based approach for the simultaneous power quality improvement and optimal placement and sizing of fixed capacitor banks in radial distribution networks in the presence of voltage and current harmonics is presented.