Optimal substation location and energy distribution network design using a hybrid GA-BFGS algorithm

被引：32
|
作者：
Carrano, EG
Takahashi, RHC
Cardoso, EP
Saldanha, RR
Neto, OM
机构：
[1] Univ Fed Minas Gerais, Dept Elect Engn, BR-30123970 Belo Horizonte, MG, Brazil
[2] Univ Fed Minas Gerais, Dept Math, BR-30123970 Belo Horizonte, MG, Brazil
来源：
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION | 2005年 / 152卷 / 06期
关键词：
D O I：
10.1049/ip-gtd:20050036
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：
A hybrid algorithm combines a quasi-Newton and a genetic algorithm for the optimal expansion of energy distribution systems. The quasi-Newton procedure actuates in the search for optimal substation location co-ordinates, and the genetic algorithm procedure actuates in the design of optimal network topologies. Both searches are performed jointly in the proposed methodology. The costs of facility installation, maintenance and energy losses are considered. The algorithm has been applied in a real energy distribution system expansion problem.
引用
收藏
页码：919 / 926
页数：8
相关论文
共 50 条
  • [1] Parameter optimization of multi-objective viscoelastic models based on GA-BFGS hybrid algorithm
    State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University, Shanghai 200240, China
    Zhendong Gongcheng Xuebao, 2008, 1 (84-90):
  • [2] A Faster Genetic Algorithm for Substation Location and Network Design of Power Distribution Systems
    Taroco, Cristiane G.
    Carrano, Eduardo G.
    Neto, Oriane M.
    Takahashi, Ricardo H. C.
    2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2012,
  • [3] Optimal Allocation of Hybrid Renewable Energy System in Distribution Network using Arithmetic Optimization Algorithm
    Rathore, Arun
    Kumar, Anupam
    Shukla, Sunil Kumar
    Patidar, Narayan Prasad
    WIND ENGINEERING, 2023, 47 (05) : 935 - 946
  • [4] Optimal location and capacity of DG systems in distribution network using genetic algorithm
    Madhusudhan M.
    Kumar N.
    Pradeepa H.
    International Journal of Information Technology, 2021, 13 (1) : 155 - 162
  • [5] Optimal location of capacitor in radial distribution network using Chemical Reaction Optimization algorithm
    Sultana, S.
    Roy, S.
    Roy, P. K.
    FOUNDATIONS AND FRONTIERS IN COMPUTER, COMMUNICATION AND ELECTRICAL ENGINEERING, 2016, : 119 - 124
  • [6] Optimal design of Microgrid’s network topology and location of the distributed renewable energy resources using the Harmony Search algorithm
    C. Camacho-Gómez
    S. Jiménez-Fernández
    R. Mallol-Poyato
    Javier Del Ser
    S. Salcedo-Sanz
    Soft Computing, 2019, 23 : 6495 - 6510
  • [7] Optimal design of Microgrid's network topology and location of the distributed renewable energy resources using the Harmony Search algorithm
    Camacho-Gomez, C.
    Jimenez-Fernandez, S.
    Mallol-Poyato, R.
    Del Ser, Javier
    Salcedo-Sanz, S.
    SOFT COMPUTING, 2019, 23 (15) : 6495 - 6510
  • [8] A novel hybrid algorithm based on ga and m-nn for an optimal design of a weather radar network
    Mogtit, Abdessamed
    Boudjemaa, Redouane
    Lagha, Mohand
    JOURNAL OF AIR TRANSPORT MANAGEMENT, 2022, 102
  • [9] Optimal location of UPFC controller in transmission network using hybrid chemical reaction optimization algorithm
    Duna, Susanta
    Roy, Provas Kumar
    Nandi, Debashis
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 64 : 194 - 211
  • [10] Optimal location and sizing of multiple PV systems in a distribution network using Marine Predators Algorithm
    Ghinea, Constantin
    Sidea, Dorian O.
    Eremia, Mircea
    Toma, Lucian
    2021 INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL ELECTRICITY (ICATE), 2021,
12345