Optimal reactive power dispatch by means of particle swarm optimization

被引：9
|
作者：
Gutiérrez D. [1 ]
Villa W.M. [1 ]
López-Lezama J.M. [1 ]
机构：
[1] Departamento de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de Antioquia, Calle 67 No. 53-108, Medellín
来源：
López-Lezama, Jesús M. (jmaria.lopez@udea.edu.co) | 1600年 / Centro de Informacion Tecnologica卷 / 28期
关键词：
Optimal reactive power flow; Particle swarm optimization; Power systems;
D O I：
10.4067/S0718-07642017000500020
中图分类号：
学科分类号：
摘要：
In this paper the particle swarm optimization (PSO) along with some of its variants is explored to give solution to the optimal reactive power dispatch problem (ORPD). This problem consists of the optimal use of reactive power resources in a power system, usually with the aim of minimizing power loses and improving voltage profile. The ORPD is a non-lineal and non-convex problem that involves continues and discrete variables and features multiple sub-optimal solutions. Besides the PSO technique, the variants known as Turbulent PSO (TPSO) and Turbulent Crazy (PSO) were implemented. Several tests were performed on IEEE 57 and 118 bus test systems comparing results with other reported in the technical literature. It was found that the performance of PSO is considerably improved when the variants TPSO and TCPSO are applied.
引用
收藏
页码：215 / 224
页数：9
相关论文
共 50 条
  • [31] Reactive power dispatch in wind farms using particle swarm optimization technique and feasible solutions search
    Martinez-Rojas, Marcela
    Sumper, Andreas
    Gomis-Bellmunt, Oriol
    Sudria-Andreu, Antoni
    APPLIED ENERGY, 2011, 88 (12) : 4678 - 4686
  • [32] Reactive Power Dispatch with Hybrid Formulation: Particle Swarm Optimization and Improved Genetic Algorithms with Real Coding
    Laouafi, F.
    Boukadoum, A.
    Leulmi, S.
    INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2010, 5 (02): : 601 - 607
  • [33] 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
  • [34] Particle Swarm Optimization Applied to Reactive Power Compensation
    Costa, Valeria Nunes
    Monteiro, Maira R.
    de Souza, A. C. Zambroni
    PROCEEDINGS OF 2016 17TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER (ICHQP), 2016, : 780 - 785
  • [35] Optimal Non-convex Combined Heat and Power Economic Dispatch Using Particle Swarm Optimization
    Joshi, Siddharth Suhas
    Prashanth, G. Rahul
    Jadoun, Vinay Kumar
    Agarwal, Anshul
    Pandey, Saurabh Kumar
    2020 INTERNATIONAL CONFERENCE ON EMERGING FRONTIERS IN ELECTRICAL AND ELECTRONIC TECHNOLOGIES (ICEFEET 2020), 2020,
  • [36] Optimal Reactive Power flow Control For Minimization Of Active Power Losses Using Particle Swarm Optimization
    Rao, N. Tejeswara
    Yadav, Jagannath Ch B.
    Jagannadham, Anyapu.
    2015 CONFERENCE ON POWER, CONTROL, COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES FOR SUSTAINABLE GROWTH (PCCCTSG), 2015, : 38 - 41
  • [37] Application of improved particle swarm optimization in economic dispatch of power system
    Tchapda, G. Y. Gninkeu
    Wang, Z.
    Sun, Y.
    2017 10TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2017, : 500 - 503
  • [38] Optimal reactive power dispatch using a novel optimization algorithm
    Ranjit Roy
    Tanmay Das
    Kamal Krishna Mandal
    Journal of Electrical Systems and Information Technology, 8 (1)
  • [39] An Adaptive Particle Swarm Optimization Algorithm for Reactive Power Optimization in Power System
    Wu, Enqi
    Huang, Yue
    Li, Dan
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 3132 - 3137
  • [40] Optimal power flow using particle swarm optimization
    Abido, MA
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2002, 24 (07) : 563 - 571
12345