Research on loss reduction strategy of distribution network based on distributed generation site selection and capacity

被引:0
|
作者
Li, Ping [1 ]
Dong, Henan [1 ]
Zhang, Guanfeng [1 ]
Bai, Xue [1 ]
Zhao, Xin [2 ]
机构
[1] Elect Power Res Inst, State Grid Liaoning Elect Power Co Ltd, Shenyang 110006, Liaoning, Peoples R China
[2] Northeastern Univ, Shenyang 110819, Liaoning, Peoples R China
关键词
Distributed power generation; Loss reduction; Multi-objective optimization; DC power flow;
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
The location and capacity of a distributed power plant largely affects the power flow of the entire grid, which also affects whether the losses in the grid are within reasonable limits. The distribution problem of distributed generation is an optimization problem. In this paper, we first determine the line loss by the improved power flow algorithm, and then determine the location and capacity of distributed generation by the improved gray wolf optimization algorithm for the purpose of minimizing the loss and voltage deviation of the distribution network. The improved gray wolf optimization algorithm has the advantages of fast convergence and strong globalization. We conducted experiments using the IEEE33 bus standard radial distribution network. From the tested results, it can be concluded that the proposed method can significantly reduce the active power losses in the distribution network. (c) 2023 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:1001 / 1012
页数:12
相关论文
共 50 条
  • [41] Storage capacity allocation strategy for distribution network with distributed photovoltaic generators
    Li, Bin
    Li, Xingchen
    Bai, Xiaoqing
    Li, Zhineng
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2018, 6 (06) : 1234 - 1243
  • [42] Storage capacity allocation strategy for distribution network with distributed photovoltaic generators
    Bin LI
    Xingchen LI
    Xiaoqing BAI
    Zhineng LI
    JournalofModernPowerSystemsandCleanEnergy, 2018, 6 (06) : 1234 - 1243
  • [43] Determination of the optimal installation site and capacity of battery energy storage system in distribution network integrated with distributed generation
    Xiao, Jun
    Zhang, Zequn
    Bai, Linquan
    Liang, Haishen
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (03) : 601 - 607
  • [44] Energy loss reduction by optimal distributed generation allocation in distribution systems
    Haghighat, Hossein
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2015, 25 (09): : 1673 - 1684
  • [45] Multi-objective Optimization of Accommodation Capacity for Distributed Generation Based on Mixed Strategy Nash Equilibrium, Considering Distribution Network Flexibility
    Liu, Weisheng
    Wu, Jian
    Wang, Fei
    Huang, Yixin
    Dai, Qiongdan
    Yang, Li
    APPLIED SCIENCES-BASEL, 2019, 9 (20):
  • [46] Loss Reduction of Rajasthan Power System with Distributed Generation in Transmission Network
    Rani, Puja
    Sharma, M. P.
    Vyas, Bhavesh
    Ola, SheeshRam
    PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016), 2016,
  • [47] Maximizing Hosting Capacity of Distributed Generation by Network Reconfiguration in Distribution System
    Takenobu, Yuji
    Kawano, Shunsuke
    Hayashi, Yasuhiro
    Yasuda, Norihito
    Minato, Shin-ichi
    2016 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2016,
  • [48] Research on Combination of Distributed Generation Placement and Dynamic Distribution Network Reconfiguration Based on MIBWOA
    Yan, Xin
    Zhang, Qian
    SUSTAINABILITY, 2023, 15 (12)
  • [49] Research on Distribution network failure reconfiguration considering Distributed Generation
    Yan Zhi
    Yao Shu-jun
    Wang Yan
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [50] Research and Simulation of the effect on distributed network protection with distribution generation
    Wang, Zhaohui
    Nan, Haipeng
    Feng, Bohao
    PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016), 2016, 50 : 383 - 387