Generation Expansion Planning in pool market: A hybrid modified game theory and improved genetic algorithm

Expansion Planning ◽

Generation Expansion ◽

Pool Market

Generation expansion planning in a pool based electricity market, using game theory and genetic algorithm

20th Iranian Conference on Electrical Engineering (ICEE2012) ◽

10.1109/iraniancee.2012.6292414 ◽

2012 ◽

Cited By ~ 3

Author(s):

Amir Mo'meni zadeh pandasi ◽

G. R. Yousefi

Keyword(s):

Genetic Algorithm ◽

Game Theory ◽

Electricity Market ◽

Expansion Planning ◽

Generation expansion planning in Pool market: A hybrid modified game theory and particle swarm optimization

Energy Conversion and Management ◽

10.1016/j.enconman.2010.10.019 ◽

2011 ◽

Vol 52 (2) ◽

pp. 1512-1519 ◽

Cited By ~ 25

Author(s):

S.M. Moghddas-Tafreshi ◽

H.A. Shayanfar ◽

A. Saliminia Lahiji ◽

A. Rabiee ◽

J. Aghaei

Keyword(s):

Game Theory ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Expansion Planning ◽

Generation Expansion ◽

Pool Market

Optimal generation expansion planning via improved genetic algorithm approach

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2004.04.012 ◽

2004 ◽

Vol 26 (8) ◽

pp. 655-659 ◽

Cited By ~ 25

Author(s):

T CHUNG ◽

Y LI ◽

Z WANG

Keyword(s):

Genetic Algorithm ◽

Expansion Planning ◽

Generation Expansion ◽

Genetic Algorithm Approach

An improved genetic algorithm for generation expansion planning

IEEE Transactions on Power Systems ◽

10.1109/59.871713 ◽

2000 ◽

Vol 15 (3) ◽

pp. 916-922 ◽

Cited By ~ 128

Author(s):

Jong-Bae Park ◽

Young-Moon Park ◽

Jong-Ryul Won ◽

K.Y. Lee

Keyword(s):

Genetic Algorithm ◽

Expansion Planning ◽

199 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364) ◽

Least cost generation expansion planning based on an improved genetic algorithm

10.1109/pess.1999.787459 ◽

2003 ◽

Author(s):

Jong-Bae Park ◽

Young-Moon Park ◽

Jong-Ryul Won ◽

K.Y. Lee

Keyword(s):

Genetic Algorithm ◽

Expansion Planning ◽

05/00143 Optimal generation expansion planning via improved genetic algorithm approach

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(05)80144-4 ◽

2005 ◽

Vol 46 (1) ◽

pp. 21

Keyword(s):

Genetic Algorithm ◽

Expansion Planning ◽

Generation Expansion ◽

Genetic Algorithm Approach

Transmission and generation expansion planning of energy hub by an improved genetic algorithm

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2019.1568640 ◽

2019 ◽

Vol 41 (24) ◽

pp. 3112-3126 ◽

Cited By ~ 3

Author(s):

Mahya Malakoti-Moghadam ◽

Alireza Askarzadeh ◽

Masoud Rashidinejad

Keyword(s):

Genetic Algorithm ◽

Energy Hub ◽

Expansion Planning ◽

Generation Expansion Planning in the Presence of Wind Power Plants Using a Genetic Algorithm Model

SSRN Electronic Journal ◽

10.2139/ssrn.3644889 ◽

2019 ◽

Author(s):

Ali Sahragard Sahragard ◽

Mahdi Farhadi ◽

Amir Mosavi ◽

Abouzar Estebsari

Keyword(s):

Genetic Algorithm ◽

Wind Power ◽

Power Plants ◽

Expansion Planning ◽

Generation Expansion ◽

Wind Power Plants ◽

Genetic Algorithm Model

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) ◽

Delay Risk Mitigation of Generation Expansion Planning Implementation in the Deregulated Market based on Game Theory Approach

10.1109/iciteed.2019.8929956 ◽

2019 ◽

Author(s):

Sarjiya ◽

Rizki Firmansyah Setya Budi ◽

Sasongko Pramono Hadi

Keyword(s):

Game Theory ◽

Risk Mitigation ◽

Theory Approach ◽

Expansion Planning ◽

Generation Expansion ◽

Planning Implementation

Cleaner power generation through market-driven generation expansion planning: an agent-based hybrid framework of game theory and Particle Swarm Optimization

Journal of Cleaner Production ◽

10.1016/j.jclepro.2014.10.083 ◽

2015 ◽

Vol 105 ◽

pp. 206-217 ◽

Cited By ~ 26

Author(s):

Najmeh Neshat ◽

M.R. Amin-Naseri

Keyword(s):

Power Generation ◽

Game Theory ◽

Particle Swarm Optimization ◽

Swarm Optimization ◽

Agent Based ◽

Expansion Planning ◽

Generation Expansion ◽

Hybrid Framework ◽

Market Driven