Multicriteria transmission expansion planning based on differential evolution and georeferencing – Case study Serbia

Author(s):  
Vladan Ristic ◽  
Darko Sosic
2013 ◽  
Vol 394 ◽  
pp. 314-320
Author(s):  
Ibrahim Al Hamrouni ◽  
Azhar Khairuddin ◽  
M. Salem

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.


At present the power systems involve extensive and composite unified transmission structures, for substantial issues. It is an extensive, multifaceted and nonlinear problem with multiple solutions to be estimated upsurges with respect to the size of the system. In this decade, differential evolution (DE) algorithm have been employed by several researchers as it is awfully active in resolving optimization problems. In this study, TEP problem is considered in static arrangement. Moreover, one of the cases of static TEP problem has been studied as without generation resizing. DE has attained results with decent exactness, easiness and acceptable execution time. The simulations have been executed using MATLAB


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