PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Wykorzystanie narzędzi sztucznej inteligencji w automatycznym regulatorze napięcia w sieci dystrybucyjnej typu Smart Grid z generacją rozproszoną

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
EN
Automatic voltage control relay with artificial intelligence tools in Smart Grid distribution networks with distributed generation
Języki publikacji
PL
Abstrakty
EN
In recent years, more and more renewable energy sources are connected to power system, which is enforced by law related to limiting the usage of conventional energy sources in order to reduce emissions of carbon dioxide and environmental pollution. The development of renewable energy sources infrastructure is associated with development of Smart Grid – an intelligent, integrated electricity network, in which the presence of renewable energy sources is one of the key elements. At the same time artificial intelligence is considered as a solution for solving problem with regulations in power distribution system with distributed generation and a way to support evolution of Smart Grid. In this article three kinds of intelligent computational techniques were used to operate Automatic Voltage Control relay. Comparison of these algorithms were made on the base of power flow data for nine different cases of power demand and system configuration.
Rocznik
Tom
Strony
66--77
Opis fizyczny
Bibliogr. 25 poz., tab., rys.
Twórcy
  • Departament Rozwoju Systemu, PSE SA
Bibliografia
  • [1] Kowalska-Pyzalska A., Koncepcja Smart Grid szansą dla rozwoju generacji rozproszonej, [in:] Prace Naukowe Instytutu Maszyn, Napędów i Pomiarów Elektrycznych Politechniki Wrocławskiej Nr 65, Studia i Materiały Nr 31, 2011
  • [2] Nishanth Balaji V., Pasupathi Nath R., Artificial Intelligence in Power Systems. IOSR Journal of Computer Engineering
  • [3] Tahir M., Nassar M. E., El-Shatshat R., Salama M. M. A., A Review of Volt/Var Control Techniques in Passive and Active Power Distribution Networks, IEEE International Conference on Smart Energy Grid Engineering, 2016
  • [4] Directorate-General for Research – Sustainable Energy Systems, European Smartgrids Technology Platform: Vision and strategy for Europe’s electricity networks of the future, 2006, http://www.smartgrids.eu (dostęp: 25.05.2019)
  • [5] Sauer T., Lobashov M., End-to-end communication architecture for smart grids, IEEE Trans.Ind. Electron., Vol. 58, No. 4, 1218–1228, 2011
  • [6] Golkar M. A., Electric Power Quality: Types and Measurements, IEEE Intemational Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DWT2004) Hong Kong, 2004
  • [7] Kaspirek M., Mikulas L., Mezera D., Prochazka K., Santarius P., Krejci P., Analysis of voltage quality parameters in MV distribution grid, 24th International Conference & Exhibition on Electricity Distribution, 2017
  • [8] Vitor T. S., Vieira J.C., Optimal Voltage Regulation in Distribution Systems With Unbalanced Loads and Distributed Generation, 2016 IEEE Innovative Smart Grid Technologies – Asia, Melbourne, 2016
  • [9] Cegielski M., Sieci i systemy elektroenergetyczne, PWN, Warszawa 1979
  • [10] Csanyi E., 4 Essential Features of Transformer On-Load Tap Changer (OLTC), 2015, https://electrical-engineering-portal.com/4-essential-features-of-transformer-on-load-tap-changer-oltc (dostęp 25.05.2019)
  • [11] Kenneth A. P., Folly K., Voltage Rise Issue with High Penetration of Grid Connected PV, The International Federation of Automatic Control Cape Town, South Africa, 2014
  • [12] Szpyra W., Kot A., Optymalna regulacja napięcia w sieciach rozdzielczych średniego napięcia, ActaEnergetica nr 2, 2009
  • [13] Piliński M., Rutkowska D., Rutkowski L., Sieci neuronowe, algorytmy genetyczne i systemy rozmyte, PWN, Warszawa, 1997
  • [14] MATLAB, How the genetic algorithm works, https://www.mathworks.com/help/gads/how-the-genetic-algorithm-works.html (dostęp: 25.05.2019)
  • [15] Faizan A., Introduction to Genetic Algorithm (GA), http://engineerexperiences.com/ (dostęp: 01.10.2017)
  • [16] Zadeh A. Lofti, Fuzzy Logic, 00l8-9162/88/0400-0083 IEEE, 1988
  • [17] Cipiloglu Y., A Short Fuzzy Logic Tutorial, Bilkent, 2010
  • [18] Stefanowski J., Sztuczne sieci neuronowe, Poznań, 2006
  • [19] Salman S. K., Rida I. M., ANN-based AVC relay for voltage control of distribution network with and without embedded generation, International Conference on Electric Utility Deregulation and Restructuring and Power Technologies 2000, London, 2000.
  • [20] Mijwel Maad M., Artificial Neural Networks Advantages and Disadvantages, Baghdad, 2018
  • [21] Grady W.M., Samotyj M.J., Noyola A.H., The Application of Network Objective Functions for Actively Minimizing the Impact of Voltage Harmonics in Power Systems, IEEE Transactions on Power Delivery, Vol. 7, No. 3, 1992
  • [22] De Caro S., Testa A., Yasin A., Optimal Size Selection for Step-Up Transformers for Wind Generation Plants, International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 2012
  • [23] General Electric GE 2.5 – 120, https://en.wind-turbine-models.com/turbines/310-general-electric-ge-2.5-120 (dostęp: 27.04.2020)
  • [24] Т.С. Анисимов. Регулирование напряжения в распределительных сетях с помощью теории нечеткой логики. Красноярск: УДК 621.316.72
  • [25] Kasztenny B., Rosołowski E., Iżykowski J., Saha M. M., Hillstrom B., Fuzzy Logic Controller for On-Load Transformer Tap Changer, IEEE Transactions on Power Delivery, Vol. 13, No. 1, 1998
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4933829a-dd87-4e18-9b87-1459d7bdbaa2
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.