首页> 外文期刊>Power Delivery, IEEE Transactions on >Optimal Coordination of Directional Overcurrent Relays Using Biogeography-Based Optimization Algorithms
【24h】

Optimal Coordination of Directional Overcurrent Relays Using Biogeography-Based Optimization Algorithms

机译:基于生物地理学的优化算法的定向过流继电器的最优协调

获取原文
获取原文并翻译 | 示例
           

摘要

Optimal coordination of directional overcurrent relays (DOCRs) is a highly constrained and nonlinear optimization problem. The operating time of each relay depends on two independent variables called plug setting and time multiplier setting. As the network becomes larger and more complex, the number of relays will increase and, thus, finding the optimal solution becomes very hard. In this paper, a new population-based evolutionary algorithm called biogeography-based optimization (BBO) is proposed and the performance of ten types of constraint-handling techniques is evaluated. In addition, a new hybrid BBO with linear programming (BBO-LP) is proposed to enhance the performance of the conventional BBO algorithm. The performance of the proposed BBO-based algorithms is evaluated by using five test systems. The results show the effectiveness and superiority of the proposed algorithms compared with the performance of the other optimization methods presented in the literature.
机译:方向性过电流继电器(DOCR)的最佳协调是一个高度受限的非线性优化问题。每个继电器的工作时间取决于两个独立的变量,称为插头设置和时间倍增器设置。随着网络变得越来越大,越来越复杂,中继的数量将增加,因此,找到最佳解决方案变得非常困难。本文提出了一种新的基于种群的进化算法,称为基于生物地理的优化(BBO),并评估了十种约束处理技术的性能。此外,提出了一种新的具有线性规划的混合BBO(BBO-LP),以增强常规BBO算法的性能。通过使用五个测试系统评估了所提出的基于BBO的算法的性能。结果表明,与文献中提出的其他优化方法相比,所提算法的有效性和优越性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号