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transmission expansion planning using differential evolution matlab code
Post: #1

Hi am fuzhen would like to get details on transmission expansion planning using differential evolution matlab code. last studied in the NJUPT, China. And now I am doing TNEP, i need the data to complete the issue.
Post: #2
Abstract:

In the previous research of the authors of this paper (Sam-I, 2005) a direct transfer development algorithm (DEA) was implemented directly for the DC power flow-based model to solve the problem of stable transmission expansion scheme (TEP) . DEA did well in relation to low and medium complexity transmission systems displayed in Garware Six bus and IEEE 25-bus testing systems, respectively. As a result of successful results obtained in relation to the stable TEP problem, DEC is selected by DEC to solve the multipurpose TEP problem with the DC model, which is classified as mixed integer non-axis optimization problem. The problem is more complex and difficult than the stable TEP problem, because it not only understands the optimum number of lines and space, which should be added to the existing network, but also the best time to complete the investment. The effectiveness of the proposed increase in this paper has been initially demonstrated through the analysis of medium complexity transmission test systems as described in Figures 2 and 3. Analysis is done using mathematical programming environment of MATLAB using both DAEA and a conventional genetic mutation. A detailed comparison of algorithms (CGA) and accuracy and performance has been presented.
 

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