Multi-objective optimal reactive power dispatch to maximize power system social welfare in the presence of generalized unified power flow controller

被引:3
|
作者
Suresh, Chintalapudi Venkata [1 ]
Sivangaraju, Sirigiri [1 ]
机构
[1] Jawaharlal Nehru Technol Univ Kakinada, Dept Elect & Elect Engn, Kakinada 533003, Andhra Pradesh, India
关键词
generalized unified power flow controller; optimal reactive power dispatch; social welfare; multi-objective optimization;
D O I
10.2478/aee-2015-0032
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
In this paper a novel non-linear optimization problem is formulated to maximize the social welfare in restructured environment with generalized unified power flow controller (GUPFC). This paper presents a methodology to optimally allocate the reactive power by minimizing voltage deviation at load buses and total transmission power losses so as to maximize the social welfare. The conventional active power generation cost function is modified by combining costs of reactive power generated by the generators, shunt capacitors and total power losses to it. The formulated objectives are optimized individually and simultaneously as multi-objective optimization problem, while satisfying equality, in-equality, practical and device operational constraints. A new optimization method, based on two stage initialization and random distribution processes is proposed to test the effectiveness of the proposed approach on IEEE-30 bus system, and the detailed analysis is carried out.
引用
收藏
页码:405 / 426
页数:22
相关论文
共 50 条
  • [31] Comparison and evaluation on multi-objective evolutionary algorithm for optimal reactive power flow
    Li, Hongxin
    Li, Yinhong
    Li, Zhihuan
    Li, H. (lihongxin0308@gmail.com), 1651, Power System Technology Press (37): : 1651 - 1658
  • [32] Application of Multi-Objective PSO Algorithm for Static Reactive Power Dispatch
    Dhifaoui, Chefai
    Guesmi, Tawfik
    Welhazi, Yosra
    Abdallah, Hsan Hadj
    2014 5TH INTERNATIONAL RENEWABLE ENERGY CONGRESS (IREC), 2014,
  • [33] Improved genetic algorithm for multi-objective reactive power dispatch problem
    Devaraj, D.
    EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2007, 17 (06): : 569 - 581
  • [34] Multi-Objective Optimal Active and Reactive Power Dispatch for Centrally Controlled Distributed PV Systems
    Levis, Colin
    Chi-Thang Phan-Tan
    Hill, Martin
    2018 53RD INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2018,
  • [35] An enhanced firefly algorithm to multi-objective optimal active/reactive power dispatch with uncertainties consideration
    Liang, Ruey-Hsun
    Wang, Jia-Ching
    Chen, Yie-Tone
    Tseng, Wan-Tsun
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 64 : 1088 - 1097
  • [36] Multi-objective linearised optimal reactive power dispatch of wind-integrated transmission networks
    Mahzouni-Sani, Mahdi
    Hamidi, Amir
    Nazarpour, Daryoush
    Golshannavaz, Sajjad
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (13) : 2686 - 2696
  • [37] A New Multi-objective Particle Swarm Optimization for Reactive Power Dispatch
    Bilil, Hasnae
    Ellaia, Rachid
    Maaroufi, Mohamed
    2012 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2012, : 1119 - 1124
  • [38] 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
  • [39] 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
  • [40] Monitoring Real and Reactive Power in a Transmission Network Using Generalized Unified Power Flow Controller
    Duvvuru, Raja Reddy
    Prasanth, B. Venkata
    Ganesh, V.
    ADVANCES IN POWER SYSTEMS AND ENERGY MANAGEMENT, 2018, 436