Evolutionary algorithm for network reconfiguration in distribution systems considering thermal operational conditions

被引:3
|
作者
Amasifen J.C.C. [1 ]
Da Cunha A.P. [1 ]
Pereira Jr. F. [1 ]
De Mello B.V. [2 ]
Beekhuizen L.M.B. [2 ]
机构
[1] Sinapsis Inovação em Energia, São Paulo, SP 01331-000, Al. Ribeirão Preto, 130
[2] AES-Eletropaulo, São Paulo, SP
来源
Amasifen, J.C.C. (cebrian00@gmail.com) | 1600年 / Springer Science and Business Media, LLC卷 / 25期
关键词
Distribution network planning; Electric cables; Evolutionary algorithms; Reconfiguration; Thermal assessment;
D O I
10.1007/s40313-013-0093-3
中图分类号
学科分类号
摘要
This article presents a methodology for the development of an evolutionary algorithm (EA) applied to the reconfiguration of radial distribution systems. The EA uses an integrated thermal and electric model (ITM) to evaluate the fitness function. Initially, the ITM calculates steady-state temperature of each conductor and, consequently, their electric impedance. ITM can be used to assess overhead and underground networks. This assessment is done efficiently to obtain the electric losses in each topology obtained by EA. On the one hand, the ITM is applied to two real distribution networks: an underground of 144 bars and another overhead of 1,311 bars. Results show that there is a divergence from 3 to 17% when the ITM is used during electric losses evaluation. On the other hand, EA is applied to two overhead distribution networks of 14 and 135 bars. The solutions obtained are feasible and with electric losses approx. 14 % lower than that of the initial topology. © Brazilian Society for Automatics-SBA 2013.
引用
收藏
页码:64 / 79
页数:15
相关论文
共 50 条
  • [41] A Cost-effective Parallel Algorithm of Distribution Network Reconfiguration on Hadoop Cluster
    Sheng, Wanxing
    Liu, Keyan
    Zhou, Shupeng
    Jin, Song
    Tang, Wei
    PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE, MACHINERY AND ENERGY ENGINEERING (MSMEE 2017), 2017, 123 : 900 - 909
  • [42] Iterative Improvement Algorithm Used in Distribution Network Reconfiguration for Power Losses Minimization
    Boicea, Valentin A.
    Petre, Viorel
    Camui, Cerasela
    2021 12TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE), 2021,
  • [43] A New Model for Reconfiguration and Distributed Generation Allocation in Distribution Network Considering Power Quality Indices and Network Losses
    Moghaddam, Mohammad Jafar Hadidian
    Kalam, Akhtar
    Shi, Juan
    Nowdeh, Saber Arabi
    Gandoman, Foad Haidari
    Ahmadi, Abdollah
    IEEE SYSTEMS JOURNAL, 2020, 14 (03): : 3530 - 3538
  • [44] Evolutionary algorithm with fuzzy numbers for planning active distribution network
    Tomislav Capuder
    Matija Zidar
    Davor Škrlec
    Electrical Engineering, 2012, 94 : 135 - 145
  • [45] Evolutionary algorithm with fuzzy numbers for planning active distribution network
    Capuder, Tomislav
    Zidar, Matija
    Skrlec, Davor
    ELECTRICAL ENGINEERING, 2012, 94 (03) : 135 - 145
  • [46] New Multi Objective Approach for Optimal Network Reconfiguration in Electrical Distribution Systems Using Modified Ant Colony Algorithm
    Oloulade, A.
    Imano, A. Moukengue
    Vianou, A.
    Tamadaho, H.
    Badarou, R.
    LECTURE NOTES IN ELECTRICAL, ELECTRONIC AND COMPUTER ENGINEERING, 2019, : 123 - 131
  • [47] An evolutionary approach for optimal time interval determination in distribution network reconfiguration under variable load
    Milani, Armin Ebrahimi
    Haghifam, Mahmood Reza
    MATHEMATICAL AND COMPUTER MODELLING, 2013, 57 (1-2) : 68 - 77
  • [48] Two-stage Distribution Network Reconfiguration Method Considering Load Type and Overload Rate
    Chen, Yunchao
    Liu, Jintao
    Hu, Jiajia
    Wu, Jiafang
    Zhu, Yafei
    Chen, Guoqiang
    Chen, Gang
    Xia, Lei
    Hu, Yi
    Zhang, Shuwei
    Yang, Jian
    PROCEEDINGS OF THE 2021 IEEE 16TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2021), 2021, : 323 - 328
  • [49] Heuristic Algorithm for Electrical Distribution Systems Reconfiguration Based on Firefly Movement Equation
    Silva, L. I.
    Belati, E. A.
    Silva Junior, I. C.
    IEEE LATIN AMERICA TRANSACTIONS, 2016, 14 (02) : 752 - 758
  • [50] Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems
    Shaheen, A. M.
    Elsayed, A. M.
    El-Sehiemy, Ragab A.
    Abdelaziz, Almoataz Y.
    APPLIED SOFT COMPUTING, 2021, 98 (98)