Optimal Placement of FACTS Devices Using Modified Whale Optimization Algorithm for Minimization of Transmission Losses

被引:1
|
作者
Kar, Manoj Kumar [1 ]
Kanungo, Sanjeet [2 ]
Alsaif, Faisal [3 ]
Ustun, Taha Selim [4 ]
机构
[1] Tolani Maritime Inst, Dept Elect & Elect, Pune 410507, Maharashtra, India
[2] Tolani Maritime Inst, Marine Engn Dept, Pune 410507, Maharashtra, India
[3] King Saud Univ, Coll Engn, Dept Elect Engn, Riyadh 11421, Saudi Arabia
[4] AIST FREA, Fukushima Renewable Energy Inst, Koriyama 9630298, Japan
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Optimization; Mathematical models; Power system stability; Reactive power; Whale optimization algorithms; Propagation losses; Thyristors; Active power loss; load flow analysis; modified whale optimization algorithm; optimal placement; SVC; TCSC; REACTIVE POWER DISPATCH;
D O I
10.1109/ACCESS.2024.3458039
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel modified whale optimization algorithm (MWOA) is presented in this study to minimize transmission losses. The proposed method is used to determine the best control variables, such as reactive power generation, transformer tap settings, and reactive power sources. First, the power flow analysis method is used to determine where the flexible AC transmission system (FACTS) devices should be placed. To achieve the intended objectives, the suggested MWOA approach is applied on multiple IEEE standard test bus systems (IEEE-30, -57, and-118) at different active and reactive loading conditions. The shunt compensation was handled by a Static VAR compensator (SVC) while the series compensation was handled by a thyristor-controlled series compensator (TCSC). The results of applying the MWOA approach are shown and contrasted with those of other promising optimization techniques, including the sine cosine algorithm (SCA), whale optimization algorithm (WOA), moth flame optimization (MFO), grey wolf optimization (GWO), and particle swarm optimization (PSO). The proposed method significantly reduces the active power loss, i.e., 11.11 % in IEEE 30, 50.32 % in IEEE 57 and 15.17% in IEEE 118 bus system at base loading. Ultimately, a comprehensive study of the statistical data was conducted to validate the precision and robustness of the suggested methodology.
引用
收藏
页码:130816 / 130831
页数:16
相关论文
共 50 条
  • [1] Optimal placement of FACTs devices for enhancing of transmission system performance using whale optimization algorithm
    Kuthadi, Kiran Kumar
    Sridhar, N. D.
    Kumar, C. H. Ravi
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2022,
  • [2] Optimal Placement, Sizing and Coordination of FACTS Devices in Transmission Network Using Whale Optimization Algorithm
    Nadeem, Muhammad
    Imran, Kashif
    Khattak, Abraiz
    Ulasyar, Abasin
    Pal, Anamitra
    Zeb, Muhammad Zulqarnain
    Khan, Atif Naveed
    Padhee, Malhar
    ENERGIES, 2020, 13 (03)
  • [3] Optimal Location of FACTS Devices in Order to Simultaneously Improving Transmission Losses and Stability Margin Using Artificial Bee Colony Algorithm
    Kamarposhti, Mehrdad Ahmadi
    Shokouhandeh, Hassan
    Colak, Ilhami
    Band, Shahab S.
    Eguchi, Kei
    IEEE ACCESS, 2021, 9 : 125920 - 125929
  • [4] A Novel Modified Lightning Attachment Procedure Optimization Technique for Optimal Allocation of the FACTS Devices in Power Systems
    Khan, Noor Habib
    Wang, Yong
    Tian, De
    Jamal, Raheela
    Iqbal, Sheeraz
    Saif, Mubaarak Abdulrahman Abdu
    Ebeed, Mohamed
    IEEE ACCESS, 2021, 9 : 47976 - 47997
  • [5] Effect of Optimal Placement of Shunt Facts Devices on Transmission Network Using Firefly Algorithm for Voltage Profile Improvement and Loss Minimization
    Ayanlade, S. O.
    Ogunwole, E. I.
    Salimon, S. A.
    Ezekiel, S. O.
    ADVANCES ON INTELLIGENT INFORMATICS AND COMPUTING: HEALTH INFORMATICS, INTELLIGENT SYSTEMS, DATA SCIENCE AND SMART COMPUTING, 2022, 127 : 385 - 396
  • [6] Optimal placement of TCSC and SVC for reactive power planning using Whale optimization algorithm
    Raj, Saurav
    Bhattacharyya, Biplab
    SWARM AND EVOLUTIONARY COMPUTATION, 2018, 40 : 131 - 143
  • [7] Optimal placement of FACTs devices in deregulated systems considering line losses
    Yu, ZW
    Lusan, D
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2004, 26 (10) : 813 - 819
  • [8] Optimal Placement of FACTS Devices in Large Power System Using PSO Method
    Boumediene, L.
    Hartani, K.
    INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2011, 6 (02): : 789 - 796
  • [9] Optimal Placement of Shunt FACTS Devices Using Heuristic Optimization Techniques: An Overview
    Dubey, Rahul
    Dixit, Shishir
    Agnihotri, Ganga
    2014 FOURTH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT), 2014, : 518 - 523
  • [10] Optimal location of FACTS devices in a power system using modified particle swarm optimization
    Parastar, A.
    Pirayesh, A.
    Nikoukar, J.
    2007 42ND INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, VOLS 1-3, 2007, : 1122 - 1128