Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10401508 | Electric Power Systems Research | 2011 | 11 Pages |
Abstract
A recent paper, [1], has proposed a methodology for taking into account uncertainties in the load evolution within the design of electric distribution networks. That paper has presented an immunological algorithm that is used for finding a set of solutions which are sub-optimal under the viewpoint of the “mean scenario” load conditions, and which are submitted to a sensitivity analysis for the load uncertainty. This paper presents a further development of the algorithm presented in [1], employing now a memetic algorithm (an algorithm endowed with local search operators) instead of the original immunological algorithm. The new algorithm is shown to present a better behavior, achieving a better set of candidate solutions, which dominate the solution set of the former algorithm. The solution set of the proposed algorithm is also stable, in the senses that: (i) the same set of solutions is found systematically; and (ii) the merit function values associated to those solutions vary smoothly from one solution to another one. It can be concluded that the design procedure proposed in [1] should be performed preferentially with the algorithm proposed here.
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Bruno B. Souza, Eduardo G. Carrano, Oriane M. Neto, Ricardo H.C. Takahashi,