Incremental Particle Swarm Optimizer with local search for Optimal Power Flow Subjected to Digital GCC based on Neural Network

International Journal of Digital Content Technology and its Applications ◽

10.4156/jdcta.vol6.issue7.30 ◽

2012 ◽

Vol 6 (7) ◽

pp. 242-252 ◽

Author(s):

Mat Syaiin ◽

Adi Soeprijanto ◽

I Made Yulistya Negara ◽

Muhammad Mahfud.

Keyword(s):

Neural Network ◽

Local Search ◽

Optimal Power Flow ◽

Particle Swarm ◽

Particle Swarm Optimizer ◽

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In Perspective of Combining Chaotic Particle Swarm Optimizer and Gravitational Search Algorithm Based on Optimal Power Flow in Wind Renewable Energy

Advances in Intelligent Systems and Computing - Soft Computing Techniques and Applications ◽

10.1007/978-981-15-7394-1_44 ◽

2020 ◽

pp. 477-490

Author(s):

C. Shilaja

Keyword(s):

Renewable Energy ◽

Optimal Power Flow ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Particle Swarm ◽

Particle Swarm Optimizer ◽

Optimal Power ◽

Gravitational Search

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Security-Constrained Optimal Power Flow Solved With a Hybrid Multiswarm Particle Swarm Optimizer

2019 IEEE Power & Energy Society General Meeting (PESGM) ◽

10.1109/pesgm40551.2019.8974078 ◽

2019 ◽

Author(s):

Haixiang Zhang ◽

Dongliang Xiao ◽

Jianan Liu ◽

Wei Qiao

Keyword(s):

Optimal Power Flow ◽

Particle Swarm ◽

Particle Swarm Optimizer ◽

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Optimal Power Flow Subject to Security Constraints Solved With a Particle Swarm Optimizer

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2007.913196 ◽

2008 ◽

Vol 23 (1) ◽

pp. 33-40 ◽

Author(s):

Pablo E. Onate Yumbla ◽

Juan M. Ramirez ◽

Carlos A. Coello Coello

Keyword(s):

Optimal Power Flow ◽

Particle Swarm ◽

Particle Swarm Optimizer ◽

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Security-Constrained Optimal Power Flow Solved With a Dynamic Multichain Particle Swarm Optimizer

2019 North American Power Symposium (NAPS) ◽

10.1109/naps46351.2019.8999975 ◽

2019 ◽

Author(s):

Haixiang Zhang ◽

Jianan Liu ◽

Dongliang Xiao ◽

Wei Qiao

Keyword(s):

Optimal Power Flow ◽

Particle Swarm ◽

Particle Swarm Optimizer ◽

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A Solution of Optimal Power Flow Problem in Power System Based on Multi Objective Particle Swarm Algorithm

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus) ◽

10.1109/elconrus51938.2021.9396117 ◽

2021 ◽

Author(s):

Mamdouh K. Ahmed ◽

Mohamed H. Osman ◽

Ahmed A. Shehata ◽

Nikolay V. Korovkin

Keyword(s):

Power System ◽

Optimal Power Flow ◽

Flow Problem ◽

Particle Swarm ◽

Particle Swarm Algorithm ◽

Multi Objective ◽

Optimal Power ◽

Swarm Algorithm ◽

Power Flow Problem

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Modified particle swarm optimization for non-continuous optimal power flow dispatch

2010 International Symposium on Computer, Communication, Control and Automation (3CA) ◽

10.1109/3ca.2010.5533322 ◽

2010 ◽

Author(s):

Ming-Rong Lee ◽

Cong-Hui Huang ◽

Kuo-kuang Chen ◽

Chung-Chi Huang ◽

Ching-Hsun Cheng ◽

...

Keyword(s):

Particle Swarm Optimization ◽

Optimal Power Flow ◽

Particle Swarm ◽

Swarm Optimization ◽

Modified Particle Swarm Optimization ◽

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A comparative study of multi-objective optimal power flow based on particle swarm, evolutionary programming, and genetic algorithm

Electrical Engineering ◽

10.1007/s00202-014-0307-0 ◽

2014 ◽

Vol 97 (1) ◽

pp. 1-12 ◽

Author(s):

Solmaz Kahourzade ◽

Amin Mahmoudi ◽

Hazlie Bin Mokhlis

Keyword(s):

Genetic Algorithm ◽

Comparative Study ◽

Optimal Power Flow ◽

Particle Swarm ◽

Evolutionary Programming ◽

Multi Objective ◽

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Optimal power flow solution using particle swarm optimization algorithm

Eurocon 2013 ◽

10.1109/eurocon.2013.6625164 ◽

2013 ◽

Author(s):

Belgin Emre Turkay ◽

Rengin Idil Cabadag

Keyword(s):

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Optimal Power Flow ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Swarm Optimization ◽

Flow Solution ◽

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Predicting Active Constraints Set in Security-Constrained Optimal Power Flow via Deep Neural Network

10.1109/pesgm46819.2021.9637964 ◽

2021 ◽

Author(s):

Shudi Liu ◽

Ye Guo ◽

Wenjun Tang ◽

Hongbin Sun ◽

Wenqi Huang

Keyword(s):

Neural Network ◽

Optimal Power Flow ◽

Deep Neural Network ◽

Active Constraints ◽

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Optimal Power Flow in Power Networks with TCSC Using Particle Swarm Optimization Technique

Lecture Notes in Electrical Engineering - Advances in Electric Power and Energy Infrastructure ◽

10.1007/978-981-15-0206-4_8 ◽

2020 ◽

pp. 91-101

Author(s):

Patil Monal ◽

Leena Heistrene ◽

Vivek Pandya

Keyword(s):

Particle Swarm Optimization ◽

Optimal Power Flow ◽

Optimization Technique ◽

Particle Swarm ◽

Power Networks ◽

Swarm Optimization ◽

Optimal Power ◽

Particle Swarm Optimization Technique

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