A New Reconfiguration Approach For Distribution System With Distributed Generation

被引:6
|
作者
Li Qiwang [1 ]
Ding Wei [1 ]
Zhang Jianquan
Liu Anhui [2 ]
机构
[1] Wuhan Univ, Sch Elect Engn, Wuhan 430072, Peoples R China
[2] Xiangi Power Bureau, Customer Service Ctr, Jishou, Hunan, Peoples R China
关键词
power distribution; distributed power generation; network reconfiguration; sensitivity; branch exchange; DISTRIBUTION FEEDER RECONFIGURATION; ALGORITHM;
D O I
10.1109/ICEET.2009.242
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
This paper presents a very simple and efficient method for minimum loss reconfiguration of distribution system based on sensitivity and branch-exchange algorithm. This paper uses the real power loss sensitivity with respect to the admittance of candidate branches to decide the real power incremental loss in the first stage which decides which loop switch should be closed. A branch exchange procedure is used in the second stage to refine the solution. This method helps to overcome the calculation errors of the real power loss brought by using sensitivity method alone and the flaw that branch exchange method relies heavily on the initial network structure, so this method avoids a local optimum of the result. This paper discusses the effect of distributed generation (DG) for reconfiguration of distribution system. Taking a network reconfiguration example, the calculation result shows that: 1) this algorithm is very simple and efficient; 2) DG has effects of loss reduction, voltage profile improvement over feeders and optimization of network structure.
引用
收藏
页码:23 / +
页数:2
相关论文
共 50 条
  • [41] Optimal reconfiguration and renewable distributed generation allocation in electric distribution systems
    Sambaiah, Kola Sampangi
    Jayabarathi, T.
    INTERNATIONAL JOURNAL OF AMBIENT ENERGY, 2021, 42 (09) : 1018 - 1031
  • [42] Optimal Distribution Feeder Reconfiguration with Distributed Generation using Intelligent Techniques
    Ghaweta, Ahmad
    Liao, Yuan
    2018 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT), 2018, : 860 - 865
  • [43] Load Forecasting Based Distribution System Network Reconfiguration -A Distributed Data-Driven Approach
    Gu, Yi
    Jiang, Huaiguang
    Zhang, Jun Jason
    Zhang, Yingchen
    Muljadi, Eduard
    Solis, Francisco J.
    2017 FIFTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, 2017, : 1358 - 1362
  • [44] Dynamic reconfiguration of distribution network considering the uncertainty of distributed generation and loads
    Liu, Qi
    Zhang, Lihong
    Ji, Xingquan
    Shi, Huizhe
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [45] Coordinated Planning of Distributed Generation and Distribution Networking Considering Network Reconfiguration
    Sun, Ke
    Liu, Yafei
    He, De
    Wang, Huahui
    Wang, Lei
    Sun, Zhou
    2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 2227 - 2232
  • [46] Dynamic Reconfiguration of Electrical Power Distribution Systems with Distributed Generation and Storage
    Novoselnik, Branimir
    Baotic, Mato
    IFAC PAPERSONLINE, 2015, 48 (23): : 136 - 141
  • [47] Distribution Network Reconfiguration with Distributed Generation Based on Cloud Genetic Algorithm
    Liu, Longhui
    Wang, Yan
    Yao, Shujun
    Ma, Luyao
    Yang, Jing
    OPTICAL, ELECTRONIC MATERIALS AND APPLICATIONS II, 2012, 529 : 306 - 310
  • [48] Closure to Discussion on "A New Formulation of Distribution Network Reconfiguration for Reducing the Voltage Volatility Induced by Distributed Generation"
    Song, Yue
    Zheng, Yu
    Liu, Tao
    Lei, Shunbo
    Hill, David J.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (06) : 4975 - 4976
  • [49] New real-time reconfiguration approach to large scale distribution system
    Che, Renfei
    Li, Renjun
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2004, 28 (01): : 59 - 63
  • [50] Studies on the reconfiguration on distributed networks with distributed generation
    Zanchetta, Lucas P.
    Pfitscher, Luciano L.
    2015 50TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2015,