Voltage Sag State Estimation Based on Hybrid Particle Swarm Optimization Algorithm

被引：0

作者：

Fan Di ^{[1
]}

Tian Lijun ^{[1
]}

Cui Yu ^{[2
]}

机构：

[1] Shandong Univ, Sch Elect Engn, Jinan 250061, Peoples R China

[2] Jiangsu Elect Power Co, State Grid Corp China, Nanjing 210024, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS | 2015年

关键词：

power quality; voltage sag; state estimation; hybrid particle swarm optimization algorithm; optimal allocation; round-off method;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents an approach applying Hybrid Particle Swarm Optimization algorithm to voltage sag frequency state estimation, based on the monitoring system determined by optimum allocation method of voltage sag monitoring nodes. Voltage sag frequency state estimation is interpreted as the estimation of the number of voltage sags occurring at non-monitored buses from the recorded voltage sags occurrence number at the monitored buses. In this study, a Hybrid Particle Swarm Optimization algorithm is proposed to solve the problem of voltage sag state estimation by the use of round-off method. The effectiveness and accuracy of the proposed approach are verified by the case study of the IEEE-39 standard test system.

引用

页码：1729 / 1734

页数：6

共 50 条

[41] Compensation Module Design for Overlapping Band in Band-Interleaved Data Acquisition Systems Based on Hybrid Particle Swarm Optimization Algorithm [J].

Zhao, Yu ;

Ye, Peng ;

Meng, Jie ;

Yang, Kuojun ;

Gao, Jian ;

Pan, Zhixiang ;

Huang, Wuhuang ;

Song, Jinpeng ;

Dai, Xuefeng .

IEEE ACCESS, 2020, 8 :178835-178848

[42] A Hybrid Quantum Inspired Particle Swarm Optimization and Least Square Framework for Real-time Harmonic Estimation [J].

Waqas, Abu Bakar ;

Ashraf, Muhammad Mansoor ;

Saifullah, Yasir .

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2021, 9 (06) :1548-1556

[43] Particle swarm optimization based orthometric hyperparallel space filtering and its application in SOC estimation [J].

Wang, Zi-Yun ;

Ji, Gang ;

Shen, Qian-Yi ;

Wang, Yan ;

Ji, Zhi-Cheng .

Kongzhi yu Juece/Control and Decision, 2025, 40 (02) :599-607

[44] Neural Networks Applied to Solve the Voltage Sag State Estimation Problem: An Approach Based on the Fault Positions Concept [J].

Espinosa-Juarez, Elisa ;

Roberto Espinoza-Tinoco, Jose ;

Hernandez, Araceli .

CERMA: 2009 ELECTRONICS ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE, 2009, :88-+

[45] Optimal allocation of regional water resources based on simulated annealing particle swarm optimization algorithm [J].

Wang, Zhanping ;

Tian, Juncang ;

Feng, Kepeng .

ENERGY REPORTS, 2022, 8 :9119-9126

[46] Dependable Multi-population Different Evolutionary Particle Swarm Optimization for Distribution State Estimation using Correntropy [J].

Iwata, Sohei ;

Fukuyama, Yoshikazu ;

Jintsugawa, Toru ;

Fujimoto, Hisashi ;

Matsui, Tetsuro .

IFAC PAPERSONLINE, 2018, 51 (28) :179-184

[47] Algorithm Analysis on Measuring the Begin-end Time of Voltage Sag Based on Biorthogonal Wavelet [J].

Zhao Hongtu ;

Xi Dongmei .

2012 INTERNATIONAL CONFERENCE ON FUTURE ELECTRICAL POWER AND ENERGY SYSTEM, PT A, 2012, 17 :18-23

[48] Analysis and Optimization for Current Overload Capability of Hybrid Transformers Under Grid Voltage Sag [J].

Shi, Yan ;

Zhang, Xiangyu ;

Chen, Lvyang ;

Li, Wei ;

Qi, Lei .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2025, 72 (03) :2313-2324

[49] A novel wavelet transform based voltage sag/swell detection algorithm [J].

Latran, Mohammad Barghi ;

Teke, Ahmet .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 71 :131-139

[50] Hybrid Particle-Swarm-Optimization Method for Accurately Calibrating Cameras [J].

Lei Yang ;

Zhang Hongli ;

Wang Cong .

LASER & OPTOELECTRONICS PROGRESS, 2019, 56 (21)

← 1 2 3 4 5 →