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Development of a Genetic Algorithm for Evaluating the Performance of Overhead Power Distribution Lines and Proposing Solutions to Improve Distribution Line Safety
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作者 Fabio Romero Alden U. Antunes +4 位作者 Dario Takahata Andre Meffe Carlos C. B. Oliveira Femando L. Lange Hamilton Souza 《Journal of Energy and Power Engineering》 2015年第1期78-82,共5页
This paper aims to present and discuss the use of a power flow methodology based on Gauss elimination method to evaluate the performance of distribution network taking into account the neutral conductor absence at spe... This paper aims to present and discuss the use of a power flow methodology based on Gauss elimination method to evaluate the performance of distribution network taking into account the neutral conductor absence at specific sections, and a development of a methodology based on GA (genetic algorithm) capable of evaluating alternative solutions in different bars of the feeder, in order to propose appropriate solutions to improve the distribution network safety. Besides the technical aspects, the proposed GA methodology takes into account the economic feasibility analysis. The results of power flow simulations have shown that the presence of single-phase transformers along with the absence of the neutral conductor at specific sections of the MV (medium voltage) network may increase the Vng (neutral-to-ground voltage) levels of the feeders involved, jeopardizing the system's safety. On the other hand, the solutions proposed by the GA methodology may reduce the network Vng levels and improve the safety conditions, providing values close to the ones found before the neutral conductor theft. 展开更多
关键词 Genetic algorithm power flow distribution line safety power flow simulation
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