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
  • [21] Optimal Reconfiguration of Radial Distribution System Having Photovoltaic Distributed Generation with Controlled Voltage
    Prasanna, K. M. L.
    RanjithKumar, James R.
    Jain, Amit
    Somlal, J.
    2015 INTERNATIONAL CONFERENCED ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2015), 2015,
  • [22] 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 (01) : 496 - 507
  • [23] 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,
  • [24] Application of DSAPSO Algorithm in Distribution Network Reconfiguration with Distributed Generation
    Tao C.
    Yang S.
    Li T.
    Energy Engineering: Journal of the Association of Energy Engineering, 2024, 121 (01): : 187 - 201
  • [25] Reconfiguration of Distribution Network considering Distributed Generation and Multivariables Criteria
    Mello, A. P. C.
    Bernardon, D. P.
    Pfitscher, L. L.
    Canha, L. N.
    Garcia, V. J.
    Sperandio, M.
    2013 48TH INTERNATIONAL UNIVERSITIES' POWER ENGINEERING CONFERENCE (UPEC), 2013,
  • [26] Network Reconfiguration for Loss Reduction in Distribution Network with Distributed Generation
    Ruan, Bo
    Chen, Xi
    Huang, Jun
    Mei, Zhen
    Li, Yu
    2016 IEEE INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY (ICPRE), 2016, : 446 - 450
  • [27] Network reconfiguration and loss allocation for distribution systems with distributed generation
    de Oliveira, ME
    Ochoa, LF
    Padilha-Feltrin, A
    Mantovani, JRS
    2004 IEEE/PES TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: LATIN AMERICA, 2004, : 206 - 211
  • [28] Real-time reconfiguration of distribution network with distributed generation
    Bernardon, D. P.
    Mello, A. P. C.
    Pfitscher, L. L.
    Canha, L. N.
    Abaide, A. R.
    Ferreira, A. A. B.
    ELECTRIC POWER SYSTEMS RESEARCH, 2014, 107 : 59 - 67
  • [29] Optimal allocation of distributed generation with reconfiguration in electric distribution systems
    Rosseti, Gustavo J. S.
    de Oliveira, Edimar J.
    de Oliveira, Leonardo W.
    Silva, Ivo C., Jr.
    Peres, Wesley
    ELECTRIC POWER SYSTEMS RESEARCH, 2013, 103 : 178 - 183
  • [30] A Grasshopper Optimization Algorithm to solve Optimal Distribution System Reconfiguration and Distributed Generation Placement Problem
    Asasi, Mehran Sanjabi
    Ahanch, Mojtaba
    Amiri, Mojtaba Sedghi
    2017 IEEE 4TH INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED ENGINEERING AND INNOVATION (KBEI), 2017, : 659 - 666