Selection of Optimal Location and Rated Power of Capacitor Banks in Distribution Network using Genetic Algorithm

被引:0
|
作者
Szultka, Agata [1 ]
Malkowski, Robert [1 ]
机构
[1] Gdansk Univ Technol, Fac Elect & Control Engn, Gdansk, Poland
关键词
optimization methods; power distribution; voltage control; RADIAL-DISTRIBUTION SYSTEMS; SHUNT CAPACITORS; PLACEMENT; LOSSES;
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
In this paper, the problem of placement and rated power of capacitor banks in the Distribution Network (DN) is considered. We try to suggest the best places for installing capacitor banks and define their reactive power. The considered formulation requires the optimization of the cost of two different objectives. Therefore the use of properly multiobjective heuristic optimization methods is desirable. To solve this problem we use a heuristic method such as Genetic Algorithm. The first goal is to achieve a voltage level in every nodes of the power network on requied level. The second goal is to limit the cost connected with buying and installing capacitors. Finally, numerical results on a distribution system demonstrate that the proposed formulation and approach are effective and feasible for finding an optimal plecement of capacitor banks.
引用
收藏
页码:23 / 28
页数:6
相关论文
共 50 条
  • [31] OPTIMAL CAPACITOR PLACEMENT IN DISTRIBUTION-SYSTEMS BY GENETIC ALGORITHM
    BOONE, G
    CHIANG, HD
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1993, 15 (03) : 155 - 162
  • [32] Optimal Sizing and Placement of Capacitor Banks and Distributed Generation in Distribution Systems Using Spring Search Algorithm
    Dehghani, Mohammad
    Montazeri, Zeinab
    Malik, O. P.
    INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2020, 21 (01)
  • [33] Optimal Location and Sizing of DG and Capacitor in Distribution Network Using Weight-Improved Particle Swarm Optimization Algorithm (WIPSO)
    Arulraj, R.
    Kumarappan, N.
    Vigneysh, T.
    2013 IEEE INTERNATIONAL MULTI CONFERENCE ON AUTOMATION, COMPUTING, COMMUNICATION, CONTROL AND COMPRESSED SENSING (IMAC4S), 2013, : 759 - 764
  • [34] Optimal capacitor location for radial systems using genetic algorithms
    Rojas, Luis
    Garcia, Rodolfo
    Roa, Luis
    2006 IEEE/PES TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: LATIN AMERICA, VOLS 1-3, 2006, : 7 - +
  • [35] An Enhanced Deep Reinforcement Learning Algorithm for Decoupling Capacitor Selection in Power Distribution Network Design
    Zhang, Ling
    Huang, Wenchang
    Juang, Jack
    Lin, Hank
    Tseng, Bin-Chyi
    Hwang, Chulsoon
    2020 IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY AND SIGNAL & POWER INTEGRITY VIRTUAL SYMPOSIUM(IEEE EMC+SIPI), 2020, : 245 - 250
  • [36] Optimal location of remote terminal units in distribution systems using genetic algorithm
    Shammah, A. A. E.
    Abou El-Ela, A.
    Azmy, Ahmed M.
    ELECTRIC POWER SYSTEMS RESEARCH, 2012, 89 : 165 - 170
  • [37] OPTIMIZING TOPOLOGY OF THE POWER DISTRIBUTION NETWORK USING GENETIC ALGORITHM
    Paar, Martin
    Oliva, Lukas
    Jilkova, Jana
    ECTA 2011/FCTA 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION THEORY AND APPLICATIONS AND INTERNATIONAL CONFERENCE ON FUZZY COMPUTATION THEORY AND APPLICATIONS, 2011, : 239 - 244
  • [38] A MILP Model for Optimal Conductor Selection and Capacitor Banks Placement in Primary Distribution Systems
    Pareja, Luis Gallego A.
    Lopez-Lezama, Jesus M.
    Carmona, Oscar Gomez
    ENERGIES, 2023, 16 (11)
  • [39] A genetic algorithm approach in optimal capacitor selection with harmonic distortion considerations
    Chung, TS
    Leung, HC
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1999, 21 (08) : 561 - 569
  • [40] Optimal selection of number and location of pressure sensors in water distribution systems using geostatistical tools coupled with genetic algorithm
    Soroush, Fattah
    Abedini, Mohammad J.
    JOURNAL OF HYDROINFORMATICS, 2019, 21 (06) : 1030 - 1047