Using Genetic Algorithm and Topsis Technique for Multiobjective Reactive Power Compensation

2007 ◽  
Vol 35 (3) ◽  
pp. 779-793
Author(s):  
M. Azzam ◽  
A. A. Mousa
Keyword(s):  
Genetic Algorithm ◽  
Reactive Power ◽  
Reactive Power Compensation ◽  
Topsis Technique

scholarly journals Embedding quasi-static time series within a genetic algorithm for stochastic optimization: the case of reactive power compensation on distribution systems

2020 ◽  
Vol 7 (2) ◽  
pp. 177-194
Author(s):  
Juan M Lujano-Rojas ◽  
Ghassan Zubi ◽  
Rodolfo Dufo-López ◽  
José L Bernal-Agustín ◽  
José L Atencio-Guerra ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Time Series ◽  
Distribution System ◽  
Distribution Systems ◽  
Reactive Power ◽  
Optimization Method ◽  
Reactive Power Compensation ◽  
Optimal Placement ◽  
Computational Time ◽  
Time Required

Abstract This paper presents a methodology for the optimal placement and sizing of reactive power compensation devices in a distribution system (DS) with distributed generation. Quasi-static time series is embedded in an optimization method based on a genetic algorithm to adequately represent the uncertainty introduced by solar photovoltaic generation and electricity demand and its effect on DS operation. From the analysis of a typical DS, the reactive power compensation rating power results in an increment of 24.9% when compared to the classical genetic algorithm model. However, the incorporation of quasi-static time series analysis entails an increase of 26.8% on the computational time required.

Optimal dispatch with reactive power compensation by Genetic Algorithm

2010 ◽  
Author(s):  
Marco R. Silva ◽  
Zita Vale ◽  
H.M. Khodr ◽  
Carlos Ramos ◽  
J. M. Yusta
Keyword(s):  
Genetic Algorithm ◽  
Reactive Power ◽  
Reactive Power Compensation ◽  
Optimal Dispatch
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