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

2011 ◽  
Vol 52 (2) ◽  
pp. 1512-1519 ◽  
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 ◽  
Generation Expansion Planning ◽  
Swarm Optimization ◽  
Expansion Planning ◽  
Generation Expansion ◽  
Pool Market

scholarly journals An Improved Hybrid Particle Swarm Optimization and Tabu Search Algorithm for Expansion Planning of Large Dimension Electric Distribution Network

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3052 ◽  
Author(s):  
Ali Ahmadian ◽  
Ali Elkamel ◽  
Abdelkader Mazouz
Keyword(s):  
Particle Swarm Optimization ◽  
Tabu Search ◽  
Search Algorithm ◽  
Particle Swarm ◽  
Combinatorial Problem ◽  
Distribution Networks ◽  
Swarm Optimization ◽  
Expansion Planning ◽  
Hybrid Particle Swarm Optimization ◽  
Electric Distribution

Optimal expansion of medium-voltage power networks is a common issue in electrical distribution planning. Minimizing the total cost of the objective function with technical constraints make it a combinatorial problem which should be solved by powerful optimization algorithms. In this paper, a new improved hybrid Tabu search/particle swarm optimization algorithm is proposed to optimize the electric expansion planning. The proposed method is analyzed both mathematically and experimentally and it is applied to three different electric distribution networks as case studies. Numerical results and comparisons are presented and show the efficiency of the proposed algorithm. As a result, the proposed algorithm is more powerful than the other algorithms, especially in larger dimension networks.

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