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Wyszukujesz frazę "SVC" wg kryterium: Temat

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    Wyświetlanie 1-3 z 3
    Tytuł:
    SVC placement for voltage constrained loss minimization using self-adaptive Firefly algorithm
    Autorzy:
    Selvarasu, R.
    Kalavathi, M. S.
    Rajan, C. Ch. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/140931.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Firefly algorithm
    loss minimization
    SVC
    voltage profile
    Opis:
    Static Var Compensator (SVC) is a popular FACTS device for providing reactive power support in power systems and its placement representing the location and size has significant influence on network loss, while keeping the voltage magnitudes within the acceptable range. This paper presents a Firefly algorithm based optimization strategy for placement of SVC in power systems with a view of minimizing the transmission loss besides keeping the voltage magnitude within the acceptable range. The method uses a self-adaptive scheme for tuning the parameters in the Firefly algorithm. The strategy is tested on three IEEE test systems and their results are presented to demonstrate its effectiveness.
    Źródło:
    Archives of Electrical Engineering; 2013, 62, 4; 649-661
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimal placement and sizing of FACTS devices based on Autonomous Groups Particle Swarm Optimization technique
    Autorzy:
    Shehata, Ahmed A.
    Refaat, Ahmed
    Ahmed, Mamdouh K.
    Korovkin, Nikolay V.
    Powiązania:
    https://bibliotekanauki.pl/articles/1841330.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    active power losses minimization
    AGPSO
    FACTS
    MFO
    PSO
    SVC
    minimalizacja strat mocy czynnej
    Opis:
    This paper presents the application of Flexible Alternating Current Transmission System (FACTS) devices based on heuristic algorithms in power systems. The work proposes the Autonomous Groups Particle Swarm Optimization (AGPSO) approach fort he optimal placement and sizing of the Static Var Compensator (SVC) to minimize thetotal active power losses in transmission lines. A comparative study is conducted with other heuristic optimization algorithms such as Particle Swarm Optimization (PSO), Time-varying Acceleration Coefficients PSO (TACPSO), Improved PSO (IPSO), Modified PSO(MPSO), and Moth-Flam Optimization (MFO) algorithms to confirm the efficacy of the proposed algorithm. Computer simulations have been carried out on MATLAB with the MATPOWER additional package to evaluate the performance of the AGPSO algorithm on the IEEE 14 and 30 bus systems. The simulation results show that the proposed algorith moffers the best performance among all algorithms with the lowest active power losses and the highest convergence rate.
    Źródło:
    Archives of Electrical Engineering; 2021, 70, 1; 161-172
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    PSO based optimal location and sizing of SVC for novel multiobjective voltage stability analysis during N – 2 line contingency
    Autorzy:
    Mangaiyarkarasi, S. P
    Sree Renga Raja, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/140430.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    N – 2 contingency analysis
    voltage severity
    particle swarm optimization (PSO)
    SVC
    power system planning
    Opis:
    In this paper voltage stability is analysed based not only on the voltage deviations from the nominal values but also on the number of limit violating buses and severity of voltage limit violations. The expression of the actual state of the system as a numerical index like severity, aids the system operator in taking better security related decisions at control centres both during a period of contingency and also at a highly stressed operating condition. In contrary to conventional N – 1 contingency analysis, Northern Electric Reliability Council (NERC) recommends N – 2 line contingency analysis. The decision of the system operator to overcome the present contingency state of the system must blend harmoniously with the stability of the system. Hence the work presents a novel N – 2 contingency analysis based on the continuous severity function of the system. The study is performed on 4005 possible combinations of N – 2 contingency states for the practical Indian Utility 62 bus system. Static VAr Compensator is used to improve voltage profile during line contingencies. A multi- objective optimization with the objective of minimizing the voltage deviation and also the number of limit violating bus with optimal location and optimal sizing of SVC is achieved by Particle Swarm Optimization algorithm.
    Źródło:
    Archives of Electrical Engineering; 2014, 63, 4; 535-550
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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