Multiobjective Backtracking Search Algorithm for solving Optimal Power Flow

被引：0
|
作者：
Daqaq, F. [1 ]
Ellaia, R. [1 ]
Ouassaid, M. [2 ]
机构：
[1] Mohammed V Univ Rabat, Mohammadia Sch Engn, Lab Study & Res Appl Math, Rabat, Morocco
[2] Mohammed V Univ Rabat, Mohammadia Sch Engn, Dept Elect Engn, Rabat, Morocco
来源：
PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT 2017) | 2017年
关键词：
Optimal Power Flow; Backtracking Search Algorithm (BSA); Multi Objective Optimization; Fuel cost minimization; Voltage profile improvement; Voltage stability enhancement;
D O I：
暂无
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：
Optimal Power Flow (OPF) using the Multi objective functions is becoming one of the most important issues in power system. This paper presents a new method to solve the highly constrained multi-objective optimization. In the proposed approach, Multi Objective Backtracking Search Algorithm (MOBSA) is used as the main optimizer for optimal adjustments of the power system control variables of the OPF problem. Considering several objectives such as fuel cost minimization, voltage improvement, and voltage stability enhancement. The proposed technique has been examined and tested for standard IEEE 30 bus system. The MOBSA method is demonstrated and compared with several intelligence heuristic algorithms.
引用
下载
收藏
页数：6
相关论文
共 50 条
  • [41] Optimal power flow by BAT search algorithm for generation reallocation with unified power flow controller
    Rao, B. Venkateswara
    Kumar, G. V. Nagesh
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 68 : 81 - 88
  • [42] A Modified Artificial Hummingbird Algorithm for solving optimal power flow problem in power systems
    Ebeed, Mohamed
    Abdelmotaleb, Mohamed A.
    Khan, Noor Habib
    Jamal, Raheela
    Kamel, Salah
    Hussien, Abdelazim G.
    Zawbaa, Hossam M.
    Jurado, Francisco
    Sayed, Khairy
    ENERGY REPORTS, 2024, 11 : 982 - 1005
  • [43] Solving Optimal Power Flow Problem of Power System Based on Archimedes Optimization Algorithm
    Zhu, Jun-Hua
    Wang, Jie-Sheng
    Zhang, Xing-Yue
    IAENG International Journal of Computer Science, 2023, 50 (01):
  • [44] Hybrid cross entropy-cuckoo search algorithm for solving optimal power flow with renewable generators and controllable loads
    Sarda, Jigar
    Pandya, Kartik
    Lee, Kwang Y.
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2023, 44 (02): : 508 - 532
  • [45] Preventive/Corrective Security Constrained Optimal Power Flow Using a Multiobjective Genetic Algorithm
    Galvani, Sadjad
    Talavat, Vahid
    Marjani, Saeed Rezaeian
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2018, 46 (13) : 1462 - 1477
  • [46] Fuzzy Multiobjective Optimal Power Flow Based on Modified Artificial Bee Colony Algorithm
    He, Xuanhu
    Wang, Wei
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [47] A Hybrid DA-PSO Optimization Algorithm for Multiobjective Optimal Power Flow Problems
    Khunkitti, Sirote
    Siritaratiwat, Apirat
    Premrudeepreechacharn, Suttichai
    Chatthaworn, Rongrit
    Watson, Neville R.
    ENERGIES, 2018, 11 (09)
  • [48] Modified harmony search algorithm applied to computing of optimal power flow
    Centeno, Alejandro
    Rey Lago, Demetrio
    Morales, Gustavo
    INGENIERIA UC, 2010, 17 (03): : 7 - 18
  • [49] SOLVING COMBINATORIAL SEARCH PROBLEMS BY INTELLIGENT BACKTRACKING
    BRUYNOOGHE, M
    INFORMATION PROCESSING LETTERS, 1981, 12 (01) : 36 - 39
  • [50] Optimal power flow for distribution networks using gravitational search algorithm
    Radosavljevic, Jordan
    Jevtic, Miroljub
    Arsic, Nebojsa
    Klimenta, Dardan
    ELECTRICAL ENGINEERING, 2014, 96 (04) : 335 - 345
12345