Development of a Genetic Algorithm for Evaluating the Performance of Overhead Power Distribution Lines and Proposing Solutions to Improve Distribution Line Safety

作     者：Fabio Romero Alden U. Antunes Dario Takahata Andre Meffe Carlos C. B. Oliveira Femando L. Lange Hamilton Souza 

作者机构：Department of Engineering Research and Development Daimon Engineering & Systems Sao Paulo 01310200 Brazil Department of Engineering AES Eletropaulo Distribution Utility Sao Paulo 06460040 Brazil 

出 版 物：《Journal of Energy and Power Engineering》 (能源与动力工程（美国大卫英文）)

年 卷 期：2015年第9卷第1期

页      面：78-82页

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 07[理学] 08[工学] 070102[理学-计算数学] 0701[理学-数学] 

主　　题：Genetic algorithm power flow distribution line safety power flow simulation 

摘      要：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.