首页> 外文期刊>Journal of control, automation and electrical systems >Solu??o do problema de supera??o de disjuntores pela aloca??o ótima de dispositivos limitadores de corrente de curto-circuito utilizando algoritmos genéticos
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Solu??o do problema de supera??o de disjuntores pela aloca??o ótima de dispositivos limitadores de corrente de curto-circuito utilizando algoritmos genéticos

机译:通过使用遗传算法优化短路电流限制装置的分配来解决克服断路器的问题

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This paper presents a methodology for helping in short-circuit limiting studies via the indication of the optimal allocation of fault current limiters in systems where the breaker interruption capability is exceeded. The methodology is modeled as an optimization problem using Genetic Algorithms, taking into consideration the objectives of minimum cost, minimum number of allocated fault current limiters and maximum reduction of the short-circuit level at the system buses. The computational tool developed uses the ANAFAS program to calculate the short-circuit current in order to keep the compatibility with the data base used in short-circuit studies in the Brazilian electricity sector. The methodology has been tested using the IEEE14 system and an actual Brazilian system. The results have confirmed the robustness of the methodology in finding solutions that satisfy the constraints with reduced investments cost for all the analyzed scenarios.
机译:本文提出了一种方法,可通过指示超出断路器中断能力的系统中故障电流限制器的最佳分配来帮助进行短路限制研究。该方法被建模为使用遗传算法的优化问题,同时考虑了最低成本,分配的故障电流限制器的最小数量以及系统总线上短路水平的最大降低的目标。开发的计算工具使用ANAFAS程序来计算短路电流,以保持与巴西电力部门短路研究中使用的数据库的兼容性。该方法已使用IEEE14系统和实际的巴西系统进行了测试。结果证实了该方法在所有解决方案中都能找到满足约束条件,降低投资成本的解决方案的鲁棒性。

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