Multi-objective VAr planning with SVC for a large power system using PSO and GA

被引：16
|
作者：
Farsangi, Malibe M. [1 ]
Nezamabadi-Pour, Hossien [1 ]
Lee, Kwang Y. [2 ]
机构：
[1] Kerman Univ, Kerman, Iran
[2] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA
来源：
2006 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION. VOLS 1-5 | 2006年
关键词：
genetic algorithm; particle swarm optimization; SVC; multiobjective optimization; fuzzy;
D O I：
10.1109/PSCE.2006.296319
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：
Particle Swarm Optimization (PSO) Algorithm is used for planning the Static Var Compensator (SVC) in a large-scale power system. The primary function of an SVC is to improve transmission system voltage, thereby enhancing the maximum power transfer limit. To enhance voltage stability, the planning problem is formulated as a multiobjective optimization problem for maximizing fuzzy performance indices. The multiobjective var planning problem in a large-scale power system is solved by the fuzzy PSO with very encouraging results, and the results are compared with those obtained by the Genetic Algorithm (GA).
引用
收藏
页码：274 / +
页数：2
相关论文
共 50 条
  • [1] Implementation of GCPSO for multi-objective VAr planning with SVC and its comparison with GA and PSO
    Farsangi, Malihe M.
    Nezamabadi-Pour, Hossein
    Lee, Kwang Y.
    2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS APPLICATIONS TO POWER SYSTEMS, VOLS 1 AND 2, 2007, : 274 - +
  • [2] Multi-objective VAr Planning Using Fuzzy-GSA
    Farsangi, Sina Ebrahimi
    Rashedi, Esmat
    Farsangi, Malihe M.
    2017 2ND CONFERENCE ON SWARM INTELLIGENCE AND EVOLUTIONARY COMPUTATION (CSIEC), 2017, : 147 - 151
  • [3] Multi-objective Optimal Power Flow of Power System with FACTS Devices Using PSO Algorithm
    Metweely, Khaled M.
    Morsy, Gamal. A.
    Amer, Ragab. A.
    2017 NINETEENTH INTERNATIONAL MIDDLE-EAST POWER SYSTEMS CONFERENCE (MEPCON), 2017, : 1248 - 1257
  • [4] Robust Design of Multimachine Power System Stabilizers Using Multi-Objective PSO Algorithm
    Welhazi, Yosra
    Guesmi, Tawfik
    Dhifaoui, Chefai
    Abdallah, Hsan Hadj
    2014 5TH INTERNATIONAL RENEWABLE ENERGY CONGRESS (IREC), 2014,
  • [5] Multi-objective pinch analysis for power system planning
    Priya, G. S. Krishna
    Bandyopadhyay, Santanu
    APPLIED ENERGY, 2017, 202 : 335 - 347
  • [6] Multi-Objective Optimal SVC Installation for Power System Loading Margin Improvement
    Chang, Ya-Chin
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2012, 27 (02) : 984 - 992
  • [7] Outlier identification and justification using multi-objective PSO based clustering algorithm in power system
    Feng, Li
    Liu, Ziyan
    Ma, Chao
    2007 5TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, VOLS 1-3, 2007, : 365 - +
  • [8] Multi-objective Power System Planning by Artificial Life Simulation
    Yamashita, Hiroaki
    Kumano, Teruhisa
    2008 IEEE 2ND INTERNATIONAL POWER AND ENERGY CONFERENCE: PECON, VOLS 1-3, 2008, : 169 - 174
  • [9] Multi-objective Planning of Large-Scale Photovoltaic Power Plants
    Bischoff, M.
    Ewe, H.
    Plociennik, K.
    Schuele, I.
    OPERATIONS RESEARCH PROCEEDINGS 2012, 2014, : 333 - 338
  • [10] Association rule mining using hybrid GA-PSO for multi-objective optimisation
    Agarwal, Aashna
    Nanavati, Nirali
    2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH, 2016, : 241 - 247
12345