An Improved Genetic Algorithm for Power Losses Minimization using Distribution Network Reconfiguration Based on Re-rank Approach

N.H. Shamsudin; N.F. Omar; A.R. Abdullah; M.F. Sulaima; N.A. Abidullah; H.I. Jaafar

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An Improved Genetic Algorithm for Power Losses Minimization using Distribution Network Reconfiguration Based on Re-rank Approach

机译：基于重新排序方法的配电网重构最小功率损失的改进遗传算法

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This study presents the implementation of Improved Genetic Algorithm (IGA) to minimize the power losses in the distribution network by improving selection operator pertaining to the least losses generated from the algorithm. The major part of power losses in electrical power network was highly contributed from the distribution system. Thus, the need of restructuring the topological of distribution network configuration from its primary feeders should be considered. The switches identification within different probabilities cases for reconfiguration purposes are comprehensively implemented through the proposed algorithm. The investigation was conducted to test the proposed algorithm on the 33 radial busses system and found to give the better results in minimizing power losses and voltage profile.

机译：这项研究提出了改进遗传算法（IGA）的实现，它通过改进与该算法产生的最小损耗有关的选择算子来使配电网中的功率损耗最小化。配电网是电力网络中电力损耗的主要部分。因此，应考虑从其主要馈线重构配电网络配置拓扑的需求。通过提出的算法全面实现了不同概率情况下的交换机识别，以实现重构目的。进行了研究以在33个径向总线系统上测试该算法，并发现在最小化功率损耗和电压分布方面能提供更好的结果。

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来源
《Research journal of applied science, engineering and technology》 |2014年第8期|1029-1035|共7页
作者
N.H. Shamsudin; N.F. Omar; A.R. Abdullah; M.F. Sulaima; N.A. Abidullah; H.I. Jaafar;
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作者单位

Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia;

Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia;

Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia;

Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia;

Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia;

Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia;

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正文语种 eng
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关键词
Distribution Network Reconfiguration (DNR); distribution systems; Genetic Algorithm (GA); Improved Genetic Algorithm (IGA); power losses;

机译：分配网络重新配置（DNR）;分配系统;遗传算法（GA）;改进的遗传算法（IGA）;功率损耗;

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专利

1. An Improved Genetic Algorithm for Power Losses Minimization using Distribution Network Reconfiguration Based on Re-rank Approach [J] . N.H. Shamsudin, N.F. Omar, A.R. Abdullah, Research journal of applied science, engineering and technology . 2014,第8期

机译：基于再级方法的分布网络重新配置，改进的功率损耗遗传算法最小化
2. The Distribution Network Reconfiguration Improved Performance of Genetic Algorithm Considering Power Losses and Voltage Profile [J] . N. H. Shamsudin, N. F. Omar, M. F. Sulaima, International Journal of Engineering and Technology . 2014,第2期

机译：考虑功率损耗和电压曲线的配电网重构改进遗传算法性能
3. Reconfiguration of Distribution Network for Minimizing Losses and Improving Voltage Stability Index Using Binary Firefly Algorithm [J] . Yuli Prasetyo, Ontoseno Penangsang, Adi Soeprijanto, Journal of Engineering & Applied Sciences . 2016,第11期

机译：使用二进制萤火虫算法将损耗最小化和改善电压稳定性指数的分配网络重新配置
4. Implementation of Improved Genetic Algorithm in Distribution System with Feeder Reconfiguration to Minimize Real Power Losses [C] . P.Ravibabu, M.V.S.Ramya, R.Sandeep, International Conference on Computer Engineering and Technology;ICCET 2010 . 2010

机译：具有馈线重构的配电系统改进遗传算法的实现，以最小化实际功率损耗
5. Reconfiguration of power networks based on graph-theoretic algorithms. [D] . Li, Juan. 2010

机译：基于图论算法的电网重新配置。
6. A Soft Sensor Approach Based on an Echo State Network Optimized by Improved Genetic Algorithm [O] . Ruoyu Huang, Zetao Li, Bin Cao 2020

机译：一种基于改进遗传算法优化回声状态网络的软传感器方法
7. Optimal integration of DGs into radial distribution network in the presence of plug-in electric vehicles to minimize daily active power losses and to improve the voltage profile of the system using bio-inspired optimization algorithms [O] . Satish Kumar Injeti, Vinod Kumar Thunuguntla 2020

机译：在存在插入电动车辆中的DG进入径向分配网络的最佳整合，以最大限度地减少日常有源功率损耗，并使用生物启发优化算法改善系统的电压曲线

An Improved Genetic Algorithm for Power Losses Minimization using Distribution Network Reconfiguration Based on Re-rank Approach

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