Optimal power flow for distribution networks using gravitational search algorithm

Distribution Networks ◽

Optimal Power ◽

Analysis of Optimal Power Flow Using Gravitational Search Algorithm

i-manager s Journal on Power Systems Engineering ◽

10.26634/jps.3.4.4800 ◽

2016 ◽

Vol 3 (4) ◽

pp. 1-11

Author(s):

M. Lakshmikantha Reddy ◽

◽

M. Ramprasad Reddy ◽

V.C. Veera Reddy ◽

◽

...

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Search Algorithm ◽

Optimal Power ◽

3rd International Symposium on Environmental Friendly Energies and Applications (EFEA) ◽

Hybridization of modified particle swarm optimization with gravitational search algorithm for solving optimal power flow including wind generation in isolated Adrar region

10.1109/efea.2014.7059956 ◽

2014 ◽

Author(s):

Saida Makhloufi ◽

Abdelouahab Mekhaldi ◽

Madjid Teguar ◽

Abdelhak Djoudi

Keyword(s):

Particle Swarm Optimization ◽

Power Flow ◽

Optimal Power Flow ◽

Search Algorithm ◽

Wind Generation ◽

Swarm Optimization ◽

Modified Particle Swarm Optimization ◽

Optimal Power ◽

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

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

10.1007/978-981-15-7394-1_44 ◽

2020 ◽

pp. 477-490

Author(s):

C. Shilaja

Keyword(s):

Renewable Energy ◽

Power Flow ◽

Optimal Power Flow ◽

Search Algorithm ◽

Particle Swarm ◽

Particle Swarm Optimizer ◽

Optimal Power ◽

Optimal Power Flow Using a Hybrid Optimization Algorithm of Particle Swarm Optimization and Gravitational Search Algorithm

Electric Power Components and Systems ◽

10.1080/15325008.2015.1061620 ◽

2015 ◽

Vol 43 (17) ◽

pp. 1958-1970 ◽

Cited By ~ 33

Author(s):

Jordan Radosavljević ◽

Dardan Klimenta ◽

Miroljub Jevtić ◽

Nebojša Arsić

Keyword(s):

Particle Swarm Optimization ◽

Power Flow ◽

Optimal Power Flow ◽

Search Algorithm ◽

Hybrid Optimization ◽

Swarm Optimization ◽

Hybrid Optimization Algorithm ◽

Optimal Power ◽

Solution of Optimal Power Flow with FACTS Devices Using Opposition-Based Gravitational Search Algorithm

Swarm, Evolutionary, and Memetic Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-20294-5_57 ◽

2015 ◽

pp. 661-673 ◽

Cited By ~ 1

Author(s):

Binod Shaw ◽

V. Mukherjee ◽

S. P. Ghoshal

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Search Algorithm ◽

Facts Devices ◽

Optimal Power ◽

Solution of optimal power flow using non dominated sorting multi objective opposition based gravitational search algorithm

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2014.09.015 ◽

2015 ◽

Vol 64 ◽

pp. 1237-1250 ◽

Cited By ~ 42

Author(s):

Arup Ratan Bhowmik ◽

Ajoy Kumar Chakraborty

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Search Algorithm ◽

Multi Objective ◽

Optimal Power ◽

Solution of optimal power flow using nondominated sorting multi objective gravitational search algorithm

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2014.04.053 ◽

2014 ◽

Vol 62 ◽

pp. 323-334 ◽

Cited By ~ 35

Author(s):

Arup Ratan Bhowmik ◽

A.K. Chakraborty

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Search Algorithm ◽

Multi Objective ◽

Optimal Power ◽

Gravitational Search ◽

Nondominated Sorting

Solution of large-scale security constrained optimal power flow by a new bi-level optimisation approach based on enhanced gravitational search algorithm

IET Generation Transmission & Distribution ◽

10.1049/iet-gtd.2012.0697 ◽

2013 ◽

Vol 7 (12) ◽

pp. 1481-1491 ◽

Cited By ~ 30

Author(s):

Mohammad Sadegh Jahan ◽

Nima Amjady

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Large Scale ◽

Search Algorithm ◽

Optimal Power ◽

Optimal power flow using gravitational search algorithm

Energy Conversion and Management ◽

10.1016/j.enconman.2012.02.024 ◽

2012 ◽

Vol 59 ◽

pp. 86-95 ◽

Cited By ~ 283

Author(s):

Serhat Duman ◽

Uğur Güvenç ◽

Yusuf Sönmez ◽

Nuran Yörükeren

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Search Algorithm ◽

Optimal Power ◽

Optimal power flow using Moth Swarm Algorithm with Gravitational Search Algorithm considering wind power

Future Generation Computer Systems ◽

10.1016/j.future.2018.12.046 ◽

2019 ◽

Vol 98 ◽

pp. 708-715 ◽

Cited By ~ 16

Author(s):

Shilaja C. ◽

Arunprasath T.

Keyword(s):

Wind Power ◽

Power Flow ◽

Optimal Power Flow ◽

Search Algorithm ◽

Optimal Power ◽

Gravitational Search ◽

Swarm Algorithm