OPTIMUM SIZING AND SITING OF TCSC USING RANDOM WEIGHTED - GENETIC ALGORITHM IN POWER SYSTEM

被引：0
作者：
Kanimozhi, R. [1 ]
Selvi, K. [2 ]
Prabakaran, R. [1 ]
机构：
[1] Anna Univ, BIT Campus, Tiruchirappalli, Tamil Nadu, India
[2] Thiyagarajar Coll Engn, Madurai, Tamil Nadu, India
来源：
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2016年 / 78卷 / 04期
关键词：
New Voltage Stability Index (NVSI); TCSC; rw-Genetic Algorithm; Voltage stability; optimization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a voltage stability index based method to locate series compensation of transmission lines using random weighted Genetic Algorithm (rwGA) to improve the loading margin by incorporating elitism and Dynamic Crowding Distance (DCD). Minimization of total loss and load bus voltage deviation is considered as the main objective and minimization of the investment cost of Thyristor Controlled Series Compensator (TCSC) and overall annual operating cost is taken as sub objective to maximize the social welfare. This proposed method is validated in IEEE 30 bus and a practical Tamil Nadu Electricity Board (TNEB) 69 bus system in India.
引用
收藏
页码：195 / 214
页数：20
相关论文
共 50 条
  • [1] Optimal Power Flow with TCSC using Genetic Algorithm
    Lakshmi, G. Venkata
    Amaresh, K.
    IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES 2012), 2012,
  • [2] Optimal sizing of hybrid power system using genetic algorithm
    Shahirinia, A. H.
    Tafreshi, S. M. M.
    Gastaj, A. Hajizadeh
    Moghaddamjoo, A. R.
    2005 International Conference on Future Power Systems (FPS), 2005, : 672 - 677
  • [3] One Novel Optimum Sizing Method for Solar Lighting System by Using Genetic Algorithm
    Li Zhongshi
    Zhou Wei
    Yang Hongxing
    ICEET: 2009 INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT TECHNOLOGY, VOL 1, PROCEEDINGS, 2009, : 225 - 228
  • [4] Optimal Sizing and Siting of Multiple Dispersed Generation System Using Metaheuristic Algorithm
    Yadav, Lokesh Kumar
    Verma, Mitresh Kumar
    Joshi, Puneet
    ADVANCES IN COMPUTING AND DATA SCIENCES, PT I, 2021, 1440 : 268 - 278
  • [5] OPTIMAL DAMPING CONTROLLERS IN A POWER SYSTEM INCLUDING TCSC USING GRAVITATIONAL SEARCH ALGORITHM
    Alomoush, Muwaffaq, I
    MECHATRONIC SYSTEMS AND CONTROL, 2019, 47 (01): : 18 - 27
  • [6] Genetic Algorithm Based Approach for Optimal Allocation of TCSC for Power System Loadability Enhancement
    Abdelaziz, Almoataz Y.
    El-Sharkawy, M. A.
    Attia, M. A.
    Panigrahi, Bijaya Ketan
    SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, (SEMCCO 2012), 2012, 7677 : 548 - 557
  • [7] Enhancement of Power System Damping Employing TCSC with Genetic Algorithm Based Controller Design
    Alam, Md Shafiul
    Shafiullah, Md
    Hossain, Md Ismail
    Hasan, Md Nazmul
    2ND INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION COMMUNICATION TECHNOLOGY (ICEEICT 2015), 2015,
  • [8] IMPROVE THE EFFICIENCY OF THE POWER T A NSMISSION SYSTEM USING THE GENETIC ALGORITHM TO DETERMINE THE OPTIMUM LOCATION AND FACTS DEVICES
    Mohammed, Husam Hasan
    Kareem, Hiba Zuhair Abdul
    Ridha, Wafaa Mohammed
    IIUM ENGINEERING JOURNAL, 2020, 21 (02): : 133 - 142
  • [9] Optimal Load Shedding of Power System Including Optimal TCSC Allocation Using Moth Swarm Algorithm
    Sayed, Fatma
    Kamel, Salah
    Yu, Juan
    Jurado, Francisco
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING, 2020, 44 (02) : 741 - 765
  • [10] Optimal Load Shedding of Power System Including Optimal TCSC Allocation Using Moth Swarm Algorithm
    Fatma Sayed
    Salah Kamel
    Juan Yu
    Francisco Jurado
    Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2020, 44 : 741 - 765
12345