Voltage regulation in active networks by distributed and cooperative meta-heuristic optimizers

被引:14
|
作者
Vaccaro, Alfredo [1 ]
Zobaa, Ahmed F. [2 ]
机构
[1] Univ Sannio, Dept Engn, I-82100 Benevento, Italy
[2] Brunel Univ, Sch Engn & Design, Brunel Inst Power Syst, Uxbridge UB8 3PH, Middx, England
关键词
Voltage regulation; Smart grids; Intelligent systems; Distributed optimization methods; GENERATORS; CONSENSUS;
D O I
10.1016/j.epsr.2013.01.013
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
The availability of intelligence at substation level, combined with the adoption of pervasive communication networks, offers technologies and opportunities to decentralize voltage regulation in active power distribution systems. Armed with such a vision, this paper proposes the employment of meta-heuristic optimizer agents aimed at addressing voltage regulation in a distributed scenario. In particular, it is demonstrated that the cost functions describing the voltage regulation objectives can be obtained by solving distributed consensus problems over a network of cooperative and dynamic agents. In addition, all the basic operations required to solve the voltage regulation problem can be computed by the distributed meta-heuristic optimizer agents according to a totally decentralized/non-hierarchical paradigm. Definitively, in a very simple way, based on the global grid conditions each voltage controller may decide if and when a reactive power flow injection into the network is most useful. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:9 / 17
页数:9
相关论文
共 50 条
  • [1] Impact of Levy flight on modern meta-heuristic optimizers
    Emary, E.
    Zawbaa, Hossam M.
    Sharawi, Marwa
    [J]. APPLIED SOFT COMPUTING, 2019, 75 : 775 - 789
  • [2] Optimization of planetary gearbox using nature inspired meta-heuristic optimizers
    Top, Neslihan
    Dorterler, Murat
    Sahin, Ismail
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2024, 238 (08) : 3338 - 3347
  • [3] Cooperative meta-heuristic algorithms for global optimization problems
    Abd Elaziz, Mohamed
    Ewees, Ahmed A.
    Neggaz, Nabil
    Ibrahim, Rehab Ali
    Al-qaness, Mohammed A. A.
    Lu, Songfeng
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2021, 176
  • [4] Blood Glucose Regulation with Meta-heuristic Algorithm
    Sachan, Shailu
    Narwaria, Amogh
    Swarnkar, Pankaj
    [J]. 2022 IEEE INTERNATIONAL POWER AND RENEWABLE ENERGY CONFERENCE, IPRECON, 2022,
  • [5] An improved meta-heuristic method to maximize the penetration of distributed generation in radial distribution networks
    Khoa Hoang Truong
    Perumal Nallagownden
    Irraivan Elamvazuthi
    Dieu Ngoc Vo
    [J]. Neural Computing and Applications, 2020, 32 : 10159 - 10181
  • [6] An improved meta-heuristic method to maximize the penetration of distributed generation in radial distribution networks
    Khoa Hoang Truong
    Nallagownden, Perumal
    Elamvazuthi, Irraivan
    Dieu Ngoc Vo
    [J]. NEURAL COMPUTING & APPLICATIONS, 2020, 32 (14): : 10159 - 10181
  • [7] A study on distributed meta-heuristic approach for routing planning
    Sakakibara, K.
    Noishiki, M.
    Tamaki, H.
    Nishikawa, I.
    [J]. 2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, : 2620 - +
  • [8] Cooperative Spectrum Sensing Optimization Using Meta-heuristic Algorithms
    Vivek Gupta
    N. S. Beniwal
    Krishna Kant Singh
    Shivendra Nath Sharan
    [J]. Wireless Personal Communications, 2020, 113 : 1755 - 1773
  • [9] Cooperative Spectrum Sensing Optimization Using Meta-heuristic Algorithms
    Gupta, Vivek
    Beniwal, N. S.
    Singh, Krishna Kant
    Sharan, Shivendra Nath
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2020, 113 (04) : 1755 - 1773
  • [10] A meta-heuristic algorithm for enhancing the synchronizability of complex networks
    Yeung, K. W.
    Yang, C.
    Tang, K. S.
    Liu, Y.
    [J]. 2012 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2012, : 792 - 796