Service restoration in compensated distribution networks using a hybrid genetic algorithm

被引:21
作者
Augugliaro, A [1 ]
Dusonchet, L [1 ]
Sanseverino, ER [1 ]
机构
[1] Univ Palermo, Dipartimento Ingn Elettr, I-90128 Palermo, Italy
关键词
service restoration; distribution networks; hybrid genetic algorithm;
D O I
10.1016/S0378-7796(98)00025-X
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper a genetic algorithm (GA) based approach to the service restoration (SR) problem in automated distribution networks is presented. Normal operation within the network comprises both automatic reconfiguration and compensation so as to reduce power losses, allow load balancing and improve the voltage profile. In the restorative state, the reconfiguration is performed together with compensation, taking mainly into account the load supply requirement and secondarily, the losses reduction requirement. After a general discussion on the restoration problem together with a short review of recent papers on the topic, a solution strategy is proposed. Then, a short account about classical GA searching mechanism is reported in order to emphasize the difficulties arising from the application of a classical GA to the restoration problem. Therefore, the hybridization strategy of the GA is presented in depth, with particular regard to the description of some new operators, of the objective function and of the constraints expression. Finally, test results;Ind concluding remarks are reported. (C) 1998 Elsevier Science S.A. All rights reserved.
引用
收藏
页码:59 / 66
页数:8
相关论文
共 9 条
[1]  
AUGUGLIARO A, 1996, P CIRED, V6, P71
[2]  
Curcic S., 1996, ELECTR POW SYST RES, V35, p73~86
[3]   Parallel genetic algorithm for service restoration in electric power distribution systems [J].
Fukuyama, Y ;
Chiang, HD ;
Miu, KN .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1996, 18 (02) :111-119
[4]  
Goldberg D., 1989, GENETIC ALGORITHMS S
[5]  
HOLLAND JH, 1975, ADAPTATION NATURAL A
[6]   DISTRIBUTION-SYSTEM SERVICE RESTORATION USING THE ARTIFICIAL NEURAL-NETWORK APPROACH AND PATTERN-RECOGNITION METHOD [J].
HSU, YY ;
HUANG, HM .
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1995, 142 (03) :251-256
[7]   Multi-objective feeder reconfiguration by distribution management system [J].
Roytelman, I ;
Melnik, V ;
Lee, SSH ;
Lugtu, RL .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1996, 11 (02) :661-666
[8]   OPTIMAL STEP-BY-STEP RESTORATION OF DISTRIBUTION-SYSTEMS DURING EXCESSIVE LOADS DUE TO COLD LOAD PICKUP [J].
UCAK, C ;
PAHWA, A .
ELECTRIC POWER SYSTEMS RESEARCH, 1995, 32 (02) :121-128
[9]   Distribution feeder reconfiguration for service restoration and load balancing [J].
Zhou, Q ;
Shirmohammadi, D ;
Liu, WHE .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1997, 12 (02) :724-729