A Novel Graphically-Based Network Reconfiguration for Power Loss Minimization in Large Distribution Systems

被引:22
作者
Diaaeldin, Ibrahim Mohamed [1 ]
Aleem, Shady H. E. Abdel [2 ]
El-Rafei, Ahmed [1 ]
Abdelaziz, Almoataz Y. [3 ]
Zobaa, Ahmed F. [4 ]
机构
[1] Ain Shams Univ, Engn Phys & Math Dept, Cairo 11517, Egypt
[2] 15th May Higher Inst Engn, Math Phys & Engn Sci Dept, Cairo 11731, Egypt
[3] Future Univ Egypt, Fac Engn & Technol, Cairo 11835, Egypt
[4] Brunel Univ London, Elect & Comp Engn Dept, Uxbridge UB8 3PH, Middx, England
关键词
distribution network reconfiguration; graph theory; large distribution systems; power loss minimization; GENETIC ALGORITHM; RELIABILITY; ALLOCATION;
D O I
10.3390/math7121182
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Distribution network reconfiguration (DNR) is the optimized change in the topological structure of distribution systems without violating its radial configuration. DNR has been of interest in applied mathematics and engineering because of its importance in modern power systems. In literature, various optimization techniques that constitute a large area of applied mathematics were proposed to obtain optimized radial configurations; however, most of them were tested in small distribution systems. In this paper, a novel graphically-based DNR is proposed to obtain the optimized radial configurations for power loss minimization. The proposed DNR is based on the graphical representation of the distribution system without any need for a radiality check. Case studies were conducted on 16-, 33-, 70-, 83-, 136-, 415-, 880-, 1760-, and 4400-node distribution systems in order to minimize the total power loss. Results have proven the ability of the proposed graphical DNR for power loss minimization by obtaining fast radial configurations in comparison with previous studies and also its ability to deal with large distribution systems efficiently. The proposed DNR succeeded in minimizing the total losses for large distribution systems as the 880-, 1760-, and 4400-node distribution systems by 69.45%, 72.51%, and 74.35%, respectively.
引用
收藏
页数:17
相关论文
共 21 条
[1]   Distribution System Optimization Based on a Linear Power-Flow Formulation [J].
Ahmadi, Hamed ;
Marti, Jose R. .
IEEE TRANSACTIONS ON POWER DELIVERY, 2015, 30 (01) :25-33
[2]   Ant Lion Optimization Algorithm for optimal location and sizing of renewable distributed generations [J].
Ali, E. S. ;
Abd Elazim, S. M. ;
Abdelaziz, A. Y. .
RENEWABLE ENERGY, 2017, 101 :1311-1324
[3]  
[Anonymous], 2018, STRAT RED LOSS DISTR
[4]   Optimal reconfiguration of distribution system connected with distributed generations: A review of different methodologies [J].
Badran, Ola ;
Mekhilef, Saad ;
Mokhlis, Hazlie ;
Dahalan, Wardiah .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 73 :854-867
[5]   Optimal distributed generation allocation for reliability, losses, and voltage improvement [J].
Borges, Carmen L. T. ;
Falcao, Djalma M. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2006, 28 (06) :413-420
[6]   Reconfiguration and Capacitor Placement for Loss Reduction of Distribution Systems by Ant Colony Search Algorithm [J].
Chang, Chung-Fu .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (04) :1747-1755
[7]   A fuzzy multiobjective approach for network reconfiguration of distribution systems [J].
Das, D .
IEEE TRANSACTIONS ON POWER DELIVERY, 2006, 21 (01) :202-209
[8]   Artificial Immune Systems applied to the reconfiguration of electrical power distribution networks for energy loss minimization [J].
de Oliveira, Leonardo W. ;
de Oliveira, Edimar J. ;
Gomes, Flavio V. ;
Silva, Ivo C., Jr. ;
Marcato, Andre L. M. ;
Resende, Paulo V. C. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 56 :64-74
[9]   Optimal Network Reconfiguration in Active Distribution Networks with Soft Open Points and Distributed Generation [J].
Diaaeldin, Ibrahim ;
Aleem, Shady Abdel ;
El-Rafei, Ahmed ;
Abdelaziz, Almoataz ;
Zobaa, Ahmed F. .
ENERGIES, 2019, 12 (21)
[10]   A Fast Nondominated Sorting Guided Genetic Algorithm for Multi-Objective Power Distribution System Reconfiguration Problem [J].
Eldurssi, Awad M. ;
O'Connell, Robert M. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (02) :593-601