scholarly journals Application of Opposition-based Differential Evolution Algorithm to Generation Expansion Planning Problem

2013 ◽  
Vol 8 (4) ◽  
pp. 686-693 ◽  
Author(s):  
K. Karthikeyan ◽  
S. Kannan ◽  
S. Baskar ◽  
C. Thangaraj
Keyword(s):  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Planning Problem ◽  
Generation Expansion Planning ◽  
Expansion Planning ◽  
Generation Expansion ◽  
Evolution Algorithm

Differential evolution algorithm for transmission network expansion planning based on AC load flow model

2014 ◽  
Author(s):  
Ibrahim Alhamrouni ◽  
Azhar Bin Khairuddin ◽  
Mohamed Salem ◽  
Ali Khorasani Ferdavani ◽  
Abdelrahman Alnajjar
Keyword(s):  
Differential Evolution ◽  
Flow Model ◽  
Differential Evolution Algorithm ◽  
Load Flow ◽  
Transmission Network ◽  
Network Expansion ◽  
Expansion Planning ◽  
Evolution Algorithm

Application and Comparison of Metaheuristic Techniques to Generation Expansion Planning Problem

2005 ◽  
Vol 20 (1) ◽  
pp. 466-475 ◽  
Author(s):  
S. Kannan ◽  
S.M.R. Slochanal ◽  
N.P. Padhy
Keyword(s):  
Planning Problem ◽  
Generation Expansion Planning ◽  
Expansion Planning ◽  
Generation Expansion ◽  
Metaheuristic Techniques

Application of Differential Evolution Algorithm in Transmission Expansion Planning

2013 ◽  
Vol 394 ◽  
pp. 314-320
Author(s):  
Ibrahim Al Hamrouni ◽  
Azhar Khairuddin ◽  
M. Salem
Keyword(s):  
Differential Evolution ◽  
Heuristic Method ◽  
Differential Evolution Algorithm ◽  
Mathematical Optimization ◽  
Minimum Cost ◽  
Optimization Methods ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Evolution Algorithm

Transmission expansion planning has become a complicated procedure more than it was. The rapid growth of the transmission networks and the deregulation has introduced more objectives and uncertainties to the transmission network planners. As a result of that, new approach and criteria that can replace the old ones are needed for TEP problem. The main goal of this process is to locate the additional transmission lines that must be added to meet the forecasted load in the system adequately with minimum cost. There have been several methods applied for this purpose; mathematical optimization methods, heuristic and Meta heuristic methods. This paper reviews the use of Meta heuristic method by the means of differential evolution algorithm (DEA) to solve this multi objective optimization problem. In addition, some suggestions have been made by the author that can make the DEA more efficient and applicable in the real world networks.

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