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首页> 外文期刊>Electric power systems research >Setting directional overcurrent protection parameters using hybrid GA optimizer
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Setting directional overcurrent protection parameters using hybrid GA optimizer

机译:使用混合GA优化器设置方向性过流保护参数

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摘要

A Hybrid Genetic Algorithm (HGA) is proposed to solve the optimal coordination of Directional Over current Relays (DORs) in meshed power transmission systems. In this research, the short circuit current direction os taken into account by the optimization model. By developing the problem oriented HGA, high-quality feasible coordination solutions for DORs have been obtained with good performance. The solutions provided by the HGA are compared with a selected set of classical. mathematical programming solvers namely, AlphaECP, BARON 14, BONMIN, DICOPT, KNITRO and SBB which have been modeled with the General Algebraic Modelling System (GAMS). In order to validate the proposed DORs coordination method, a real meshed power system is considered. The proposed HGA provided high-quality coordination solutions, which represents 12.10% to 27.31% reduction on the average value of the performance function for all test cases when compared with the solutions provided by commercial solvers. (C) 2016 Elsevier B.V. All rights reserved.
机译:提出了一种混合遗传算法(HGA)来解决网状输电系统中定向过流继电器(DOR)的最优协调问题。在本研究中,优化模型考虑了短路电流方向os。通过开发面向问题的HGA,已获得具有良好性能的DOR的高质量可行协调解决方案。将HGA提供的解决方案与一组选定的经典解决方案进行比较。数学编程求解器,即AlphaECP,BARON 14,BONMIN,DICOPT,KNITRO和SBB,已使用通用代数建模系统(GAMS)进行了建模。为了验证提出的DOR协调方法,考虑了一个真实的网状电力系统。提议的HGA提供了高质量的协调解决方案,与商用求解器提供的解决方案相比,该性能降低了所有测试用例的性能函数平均值的12.10%到27.31%。 (C)2016 Elsevier B.V.保留所有权利。

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