Service Restoration in Distribution System Using Binary Shuffled Frog Leaping Algorithm

被引:0
|
作者
Srivastava, Ishan [1 ]
Bhat, S. S. [1 ]
机构
[1] VNIT, Elect Engn Dept, Nagpur, Maharashtra, India
关键词
Feeder reconfiguration; meta-heuristic technique; radial network; load flow analysis; memetic algorithm; EXPERT-SYSTEM; POWER-SYSTEM;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Distribution automation is an important technology to improve reliability of distribution system. Service restoration is done to restore loads after the occurrence of a fault by changing the status of sectionalizing switches and tie switches present in the network. This topological change should not violate any electrical or topological constraint of the network. This paper presents a novel approach based on Binary Shuffled Frog Leaping Algorithm (BSFLA), which provides more efficient results than the previous proposed meta-heuristic techniques applied for service restoration. Minimization of active power loss and out-of-service area are the objectives for restoration problem. The practicality of the proposed technique is confirmed in an IEEE standard test distribution network.
引用
收藏
页码:226 / 231
页数:6
相关论文
共 50 条
  • [21] Air pollution emissions control using shuffled frog leaping algorithm
    Sharma, Tarun Kumar
    Prakash, Divya
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2020, 11 (02) : 332 - 339
  • [22] Air pollution emissions control using shuffled frog leaping algorithm
    Tarun Kumar Sharma
    Divya Prakash
    International Journal of System Assurance Engineering and Management, 2020, 11 : 332 - 339
  • [23] Color image quantization using the shuffled-frog leaping algorithm
    Perez-Delgado, Maria-Luisa
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2019, 79 : 142 - 158
  • [24] Realtime Rate of Penetration Optimization Using the Shuffled Frog Leaping Algorithm
    Yi, Ping
    Kumar, Aniket
    Samuel, Robello
    JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 2015, 137 (03):
  • [25] Unit Commitment Problem Solution Using Shuffled Frog Leaping Algorithm
    Ebrahimi, Javad
    Hosseinian, Seyed Hossein
    Gharehpetian, Gevorg B.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (02) : 573 - 581
  • [26] Improved Shuffled Frog Leaping Algorithm by Using Orthogonal Experimental Design
    Dehdeleh, Vajiheh
    Ebrahimi, Adeleh
    Nia, Ali Broumand
    2016 2ND INTERNATIONAL CONFERENCE OF SIGNAL PROCESSING AND INTELLIGENT SYSTEMS (ICSPIS), 2016, : 1 - 5
  • [27] Application of shuffled frog-leaping algorithm on clustering
    Amiri, Babak
    Fathian, Mohammad
    Maroosi, Ali
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 45 (1-2): : 199 - 209
  • [28] Research on Improved Strategy of Shuffled Frog Leaping Algorithm
    Wang, Zhen
    Zhang, Danhong
    Wang, Biao
    Chen, Wenwen
    2019 34RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2019, : 270 - 273
  • [29] A mnemonic shuffled frog leaping algorithm with cooperation and mutation
    Hong-bo Wang
    Ke-peng Zhang
    Xu-yan Tu
    Applied Intelligence, 2015, 43 : 32 - 48
  • [30] Application of shuffled frog-leaping algorithm on clustering
    Babak Amiri
    Mohammad Fathian
    Ali Maroosi
    The International Journal of Advanced Manufacturing Technology, 2009, 45 : 199 - 209