Optimized Power Quality Monitor Placement Based on a Particle Swarm Optimization Algorithm

被引：0
|
作者：
Bertho, R., Jr. [1 ]
Kempner, T. R. [1 ]
Vieira, J. C. M. [1 ]
Oleskovicz, M. [1 ]
Coury, D. V. [1 ]
机构：
[1] Univ Sao Paulo, Dept Elect & Comp Engn, EESC, Sao Paulo, Brazil
来源：
PROCEEDINGS OF 2016 17TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER (ICHQP) | 2016年
关键词：
particle swarm optimization; power quality; power quality monitor placement; voltage sag;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The growing interest in the electricity industry regarding power quality has generated a high demand of network data to define the network status and points out any unwanted changes in the voltage or current waveforms of electric systems. In this context, this work proposes an economical measurement system of voltage sags by employing a method based on the Particle Swarm Optimization algorithm to achieve an optimized power quality monitor placement. The results show the effectiveness of the method, indicating the minimum number of power quality monitors required for ensuring full system observability and the best locations to install these devices.
引用
收藏
页码：115 / 119
页数：5
相关论文
共 50 条
  • [21] Piezoelectric MEMS Mirror Optimized by Particle Swarm Optimization Algorithm
    Wang, Yufeng
    Li, Gary
    Zhou, Qin
    Almeida, Sergio
    Lee, Sae Won
    Ho, Derek
    Wang, Youmin
    MOEMS AND MINIATURIZED SYSTEMS XXI, 2022, 12013
  • [22] Electric power communication network based on particle swarm optimization algorithm
    Xiaomeng P.
    International Journal of Simulation: Systems, Science and Technology, 2016, 17 (17): : 8.1 - 8.5
  • [23] An improved artificial fish swarm algorithm optimized by particle swarm optimization algorithm with extended memory
    Duan, Qichang
    Mao, Mingxuan
    Duan, Pan
    Hu, Bei
    KYBERNETES, 2016, 45 (02) : 210 - 222
  • [24] Chaotic particle swarm optimization algorithm based on the essence of particle swarm
    Lin, Chuan
    Feng, Quanyuan
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2007, 42 (06): : 665 - 669
  • [25] Multi-Objective Virtual Machine Placement Algorithm Based on Particle Swarm Optimization
    Braiki, Khaoula
    Youssef, Habib
    2018 14TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2018, : 279 - 284
  • [26] An Improved particle swarm optimization algorithm for reactive power optimization
    Xie, Tuo
    Xie, Jiancang
    Zhang, Gang
    Liu, Yin
    2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA), 2013, : 489 - 493
  • [27] An Improved Particle Swarm Optimization Algorithm for Reactive Power Optimization
    Li Ran
    Sheng Si-qing
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [28] Application of Optimized Neural Network Based on Particle Swarm Optimization Algorithm in Fault Diagnosis
    Zhong, Bingxiang
    Wang, Debiao
    Li, Taifu
    PROCEEDINGS OF THE 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, 2009, : 476 - 480
  • [29] Optimal Sensor Placement Based on Particle Swarm Optimization
    Qin Boying
    Lin Xiankun
    ADVANCED MATERIALS AND INFORMATION TECHNOLOGY PROCESSING, PTS 1-3, 2011, 271-273 : 1108 - +
  • [30] Well Placement Optimization Using a Particle Swarm Optimization Algorithm, a Novel Approach
    Afshari, S.
    Pishvaie, M. R.
    Aminshahidy, B.
    PETROLEUM SCIENCE AND TECHNOLOGY, 2014, 32 (02) : 170 - 179
12345