Optimization of Impedance-Accelerated Inverse-Time Over-Current Protection Based on Improved Quantum Genetic Algorithm
This paper proposes an impedance-accelerated inverse-time over-current protection optimization scheme based on the improved quantum genetic algorithm. First, the speed of remote backup protection is improved by increasing the optimization level of backup protection. Second, to ensure the coordinatio...
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MDPI AG
2023-01-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/16/3/1119 |
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author | Xia Zhang Xiaohua Wang Zhedong Li Jingguang Huang Yupeng Zhang |
author_facet | Xia Zhang Xiaohua Wang Zhedong Li Jingguang Huang Yupeng Zhang |
author_sort | Xia Zhang |
collection | DOAJ |
description | This paper proposes an impedance-accelerated inverse-time over-current protection optimization scheme based on the improved quantum genetic algorithm. First, the speed of remote backup protection is improved by increasing the optimization level of backup protection. Second, to ensure the coordination of protection when the distributed generation is connected to the distribution network, a mathematical model for the optimization of inverse time protection parameters is established. The mathematical model takes the minimum total action time of the optimized main and backup protection as the objective function, and the selectivity and sensitivity requirements of the protection as the constraints. In addition, the genetic algorithm is improved from four aspects: coding method, population initialization, quantum revolving gate, and variational evolution. The theoretical analysis and simulation results show that the proposed scheme can effectively improve the selectivity and operation speed of the protection. |
first_indexed | 2024-03-11T09:46:53Z |
format | Article |
id | doaj.art-5a67d5bf8f7a4480b658859004c468e9 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-11T09:46:53Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-5a67d5bf8f7a4480b658859004c468e92023-11-16T16:32:55ZengMDPI AGEnergies1996-10732023-01-01163111910.3390/en16031119Optimization of Impedance-Accelerated Inverse-Time Over-Current Protection Based on Improved Quantum Genetic AlgorithmXia Zhang0Xiaohua Wang1Zhedong Li2Jingguang Huang3Yupeng Zhang4College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 433002, ChinaState Grid Zhejiang Shaoxing Power Supply Company, Shaoxing 312000, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 433002, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 433002, ChinaState Grid Zhejiang Shaoxing Power Supply Company, Shaoxing 312000, ChinaThis paper proposes an impedance-accelerated inverse-time over-current protection optimization scheme based on the improved quantum genetic algorithm. First, the speed of remote backup protection is improved by increasing the optimization level of backup protection. Second, to ensure the coordination of protection when the distributed generation is connected to the distribution network, a mathematical model for the optimization of inverse time protection parameters is established. The mathematical model takes the minimum total action time of the optimized main and backup protection as the objective function, and the selectivity and sensitivity requirements of the protection as the constraints. In addition, the genetic algorithm is improved from four aspects: coding method, population initialization, quantum revolving gate, and variational evolution. The theoretical analysis and simulation results show that the proposed scheme can effectively improve the selectivity and operation speed of the protection.https://www.mdpi.com/1996-1073/16/3/1119inverse-time over-current protectionimproved impedance accelerationspeedparameter optimizationbackup protection optimization stagesquantum genetic algorithm |
spellingShingle | Xia Zhang Xiaohua Wang Zhedong Li Jingguang Huang Yupeng Zhang Optimization of Impedance-Accelerated Inverse-Time Over-Current Protection Based on Improved Quantum Genetic Algorithm Energies inverse-time over-current protection improved impedance acceleration speed parameter optimization backup protection optimization stages quantum genetic algorithm |
title | Optimization of Impedance-Accelerated Inverse-Time Over-Current Protection Based on Improved Quantum Genetic Algorithm |
title_full | Optimization of Impedance-Accelerated Inverse-Time Over-Current Protection Based on Improved Quantum Genetic Algorithm |
title_fullStr | Optimization of Impedance-Accelerated Inverse-Time Over-Current Protection Based on Improved Quantum Genetic Algorithm |
title_full_unstemmed | Optimization of Impedance-Accelerated Inverse-Time Over-Current Protection Based on Improved Quantum Genetic Algorithm |
title_short | Optimization of Impedance-Accelerated Inverse-Time Over-Current Protection Based on Improved Quantum Genetic Algorithm |
title_sort | optimization of impedance accelerated inverse time over current protection based on improved quantum genetic algorithm |
topic | inverse-time over-current protection improved impedance acceleration speed parameter optimization backup protection optimization stages quantum genetic algorithm |
url | https://www.mdpi.com/1996-1073/16/3/1119 |
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