ANN for multi-objective optimal reactive compensation of a power system with wind generators-Reference-Cited by-同舟云学术

ANN for multi-objective optimal reactive compensation of a power system with wind generators

Published:2008-09 Issue:9 Volume:78 Page:1511-1519
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Krichen Lotfi,Ben Aribia Houssem,Hadj Abdallah Hsan,Ouali Abderrazak

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference26 articles.

1. A neural load flow computation in electric power systems including wind farm;Hadj Abdallah,2005

2. Artificial neural network for real time load flow calculation: application to a micro grid with wind generators;Hadj Abdallah;J. Electr. Syst.,2005

3. Evolutionary programming approach to reactive power planning;Ma;IEE Proc. Gener. Transm. Distrib.,1996

4. Optimal placement, replacement and sizing of capacitors banks in distorted distribution networks by genetic algorithms;Masoun;IEEE Trans. Power Deliv.,2004

5. Real time loss sensitivity calculation in power systems operation;Zhu;Electric Power Syst. Res.,2004

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research and Engineering Practice on Reactive Power Control Based on Deep Reinforcement Learning in Local Power Grid;Lecture Notes in Electrical Engineering;2022

2. Critical Performance Evaluation of a Few Intelligent Controllers for Effective Power Control in Variable Speed Wind Generators;Sustainable Development in Energy Systems;2017

3. The active–reactive – Complete dispatch of an electrical network;International Journal of Electrical Power & Energy Systems;2013-01

4. Modeling and Simulation of Turbogenerator Using Computational Intelligence;Applied Mechanics and Materials;2011-10-24