Optimal placement of unified power flow controller using differential search algorithm

被引：0
|
作者：
Banerjee D. [1 ]
Bhattacharya S. [1 ]
Roy P.K. [2 ]
机构：
[1] Department of Electrical Engineering, Surendra Institute of Engineering and Management, Siliguri, West Bengal
[2] Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani, West Bengal
来源：
International Journal of Innovative Computing and Applications | 2019年 / 10卷 / 02期
关键词：
Differential search algorithm; DSA; FACTS devices; OPF; Optimal power flow; Power system; Unified power flow controller; UPFC;
D O I：
10.1504/IJICA.2019.102086
中图分类号：
学科分类号：
摘要：
Optimal power flow (OPF) problem plays a crucial role to run an economically efficient and well-planned power system. It is a challenging task for the power system researchers to cope with the ever-increasing load-demand while getting the minimum system loss. The development of flexible ac transmission system (FACTS) has added a new dimension both to the system operation and research. Unified power flow controller (UPFC) is the most reliable FACTS controller, which can provide both series and shunt compensation. As a matter of fact, UPFC can reliably control the different power system parameters. In this article, UPFC is incorporated into the modified IEEE 5-bus and modified IEEE 30-bus test system. Differential search algorithm (DSA) is proposed and implemented to run the OPF with and without UPFC and the results are listed, analysed and compared with the same that is obtained by genetic algorithm (GA) and BAT search algorithm. Copyright © 2019 Inderscience Enterprises Ltd.
引用
收藏
页码：69 / 85
页数：16
相关论文
共 50 条
  • [31] A hybrid gravitational search and pattern search algorithm for tuning damping controller parameters for a unified power flow controller-A comparative approach
    Khadanga, Rajendra Kumar
    Satapathy, Jitendriya Kumar
    INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2018, 31 (03)
  • [32] Optimal Power Quality Monitors Placement using Improved Lightning Search Algorithm
    Wong, Ling Ai
    Ling, Tze Jian
    Ramlee, Nor Asrina
    2018 IEEE 7TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY (PECON), 2018, : 227 - 230
  • [33] Design of New Nonlinear Optimal Predictive Controller for Unified Power Flow Controller
    Shaheen, H. I.
    Rashed, G. I.
    Cheng, S. J.
    2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 2236 - 2245
  • [34] Optimal location of unified power flow controller for congestion management
    Chong, B.
    Zhang, X. P.
    Godfrey, K. R.
    Yao, L.
    Bazargan, M.
    EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2010, 20 (05): : 600 - 610
  • [35] Optimal reactive-power dispatch using differential search algorithm
    Abaci, Kadir
    Yamacli, Volkan
    ELECTRICAL ENGINEERING, 2017, 99 (01) : 213 - 225
  • [36] Optimal reactive-power dispatch using differential search algorithm
    Kadir Abaci
    Volkan Yamaçli
    Electrical Engineering, 2017, 99 : 213 - 225
  • [37] A novel hybrid FPA-DE algorithm for solving multi objective optimal power flow with unified power flow controller
    Hariharan T.
    Sundaram K.M.
    Hariharan, T., 2016, American Scientific Publishers (13) : 5199 - 5208
  • [38] Fast reliable unified power flow controller (UPFC) algorithm
    Saied, EM
    El-Shibini, MA
    SEVENTH INTERNATIONAL CONFERENCE ON AC-DC POWER TRANMISSION, 2001, (485): : 321 - 326
  • [39] Multi - Objective Optimal Power Flow Problem of Power System Based on Differential Search Algorithm
    Jiang, Yuechun
    Liu, Ailing
    He, Zhongnan
    Zhang, Ke
    2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2017, : 314 - 318
  • [40] Self-Adaptive Firefly-Algorithm-Based Unified Power Flow Controller Placement with Single Objectives
    Ranganathan, Selvarasu
    Rajkumar, S.
    COMPLEXITY, 2021, 2021 (2021)
12345