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
  • [41] Close Accord on Particle Swarm Optimization Variants for Solving Non-Linear Optimal Reactive Power Dispatch Problem
    Asmaa, Fawzy Barakat
    Ragab, Abdelaziz El-Sehiemy
    Mohamed, Ibrahim Elsayd
    INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA, 2020, 46 : 88 - 105
  • [42] Adaptive Particle Swarm Optimization Approach for Optimal Reactive Power Planning
    Rajkumar, P.
    Devaraj, D.
    2008 JOINT INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) AND IEEE POWER INDIA CONFERENCE, VOLS 1 AND 2, 2008, : 328 - 334
  • [43] APPLICATION OF PARTICLE SWARM OPTIMIZATION ALGORITHM FOR OPTIMAL REACTIVE POWER PLANNING
    Al-Hamouz, Z.
    Faisal, S. F.
    Al-Sharif, S.
    CONTROL AND INTELLIGENT SYSTEMS, 2007, 35 (01) : 66 - 72
  • [44] Optimal Dispatch of Electric Vehicles and Wind Power Using Enhanced Particle Swarm Optimization
    Zhao, JunHua
    Wen, Fushuan
    Dong, Zhao Yang
    Xue, Yusheng
    Wong, Kit Po
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2012, 8 (04) : 889 - 899
  • [45] Power Economic Dispatch Using Particle Swarm Optimization
    Iqbal, H. M. Zahid
    Ashraf, A.
    Ahmad, A.
    2015 POWER GENERATION SYSTEMS AND RENEWABLE ENERGY TECHNOLOGIES (PGSRET-2015), 2015, : 198 - 204
  • [46] A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problem
    Jangir, Pradeep
    Parmar, Siddharth A.
    Trivedi, Indrajit N.
    Bhesdadiya, R. H.
    ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 2017, 20 (02): : 570 - 586
  • [47] A multiagent-based particle swarm optimization approach for optimal reactive power dispatch (vol 20, pg 1070, 2005)
    Zhao, B
    Guo, CX
    Cao, YJ
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (03) : 1663 - 1663
  • [48] A Vehicle-to-Grid Based Reactive Power Dispatch Approach Using Particle Swarm Optimization
    Zhang, Wenjie
    Das, Pritam
    Srinivasan, Dipti
    2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2016, : 4413 - 4420
  • [49] A New Particle Swarm Optimization Solution to Optimal Reactive Power Flow Problems
    Chen, Gonggui
    Yang, Junjie
    2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7, 2009, : 1040 - +
  • [50] An Improved Particle Swarm Optimization Method to Optimal Reactive Power Flow Problems
    Baharozu, Eren
    Soykan, Gurkan
    Altay, Ozkan
    Kalenderli, Ozcan
    2015 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO), 2015, : 991 - 995