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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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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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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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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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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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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Optimal Power Flow with TCSC and TCPS Modeling using Craziness and Turbulent Crazy Particle Swarm Optimization

International Journal of Swarm Intelligence Research ◽

10.4018/jsir.2010070103 ◽

2010 ◽

Vol 1 (3) ◽

pp. 34-50 ◽

Author(s):

P. K. Roy ◽

S. P. Ghoshal ◽

S. S. Thakur

Keyword(s):

Particle Swarm Optimization ◽

Optimal Power Flow ◽

Particle Swarm ◽

Solution Quality ◽

Swarm Optimization ◽

Facts Devices ◽

Computation Efficiency ◽

Optimal Power ◽

Real Coded Genetic Algorithm

This paper presents two new Particle swarm optimization methods to solve optimal power flow (OPF) in power system incorporating flexible AC transmission systems (FACTS). Two types of FACTS devices, thyristor-controlled series capacitor (TCSC) and thyristor controlled phase shifting (TCPS), are considered. In this paper, the problems of OPF with FACTS are solved by using particle swarm optimization with the inertia weight approach (PSOIWA), real coded genetic algorithm (RGA), craziness based particle swarm optimization (CRPSO), and turbulent crazy particle swarm optimization (TRPSO). The proposed methods are implemented on modified IEEE 30-bus system for four different cases. The simulation results show better solution quality and computation efficiency of TRPSO and CRPSO algorithms over PSOIWA and RGA. The study also shows that FACTS devices are capable of providing an economically attractive solution to OPF problems.

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