scholarly journals Solving Transmission Expansion Planning Problem by Enactmenting Differential Examination

2019 ◽  
Vol 9 (2S2) ◽  
pp. 637-641
Keyword(s):  
Power Systems ◽  
Differential Evolution ◽  
Execution Time ◽  
Multiple Solutions ◽  
Optimization Problems ◽  
Planning Problem ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
De Algorithm ◽  
Transmission Expansion

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

scholarly journals Planning the Expansion of Long-Term Transmission Networks Using a Cycle-Based Formulation

2018 ◽  
Vol 13 (1) ◽  
pp. 237
Author(s):  
Pedro Pablo Cardenas Alzate ◽  
Laura Monica Escobar Vargas ◽  
Antonio Hernando Escobar Zuluaga
Keyword(s):  
Power Systems ◽  
Polynomial Solution ◽  
Planning Problem ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Solution Algorithms ◽  
Transmission Expansion ◽  
Complete Problems ◽  
System Graph

This paper presents a methodology to solve the long-term transmission expansion planning problem, using a formulation that uses mathematical expressions that are alternatives to the second Kirchhoff’s law and that are applied to the cycles critical of the system graph. The network transmission expansion planning problem of power systems is part of the socalled NP-complete problems, which belong to a category of problems that are dfficult to solve, for which polynomial solution algorithms are not known. The proposed methodology is applied to two test systems of the specialized literature with very good results.

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