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Wyszukujesz frazę "minimization algorithm" wg kryterium: Temat

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    Wyświetlanie 1-4 z 4
    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 location of interline power flow controller in a power system network using ABC algorithm
    Autorzy:
    Sreejith, S.
    Psimon, S.
    Selvan, M.P.
    Powiązania:
    https://bibliotekanauki.pl/articles/141232.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    IPFC
    power injection model
    power flow control
    ABC algorithm
    cost minimization
    Opis:
    This paper proposes a methodology based on installation cost for locating the optimal position of interline power flow controller (IPFC) in a power system network. Here both conventional and non conventional optimization tools such as LR and ABC are applied. This methodology is formulated mathematically based on installation cost of the FACTS device and active power generation cost. The capability of IPFC to control the real and reactive power simultaneously in multiple transmission lines is exploited here. Apart from locating the optimal position of IPFC, this algorithm is used to find the optimal dispatch of the generating units and the optimal value of IPFC parameters. IPFC is modeled using Power Injection (PI) model and incorporated into the problem formulation. This proposed method is compared with that of conventional LR method by validating on standard test systems like 5-bus, IEEE 30-bus and IEEE 118-bus systems. A detailed discussion on power flow and voltage profile improvement is carried out which reveals that incorporating IPFC into power system network in its optimal location significantly enhance the load margin as well as the reliability of the system.
    Źródło:
    Archives of Electrical Engineering; 2013, 62, 1; 91-110
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi objective Flower Pollination Algorithm for solving capacitor placement in radial distribution system using data structure load flow analysis
    Autorzy:
    Tamilselvan, V.
    Jayabarathi, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/140691.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Flower Pollination Algorithm
    data structure
    loss minimization
    voltage improvement
    capacitor placement
    Opis:
    The radial distribution system is a rugged system, it is also the most commonly used system, which suffers by loss and low voltage at the end bus. This loss can be reduced by the use of a capacitor in the system, which injects reactive current and also improves the voltage magnitude in the buses. The real power loss in the distribution line is the I2R loss which depends on the current and resistance. The connection of the capacitor in the bus reduces the reactive current and losses. The loss reduction is equal to the increase in generation, necessary for the electric power provided by firms. For consumers, the quality of power supply depends on the voltage magnitude level, which is also considered and hence the objective of the problem becomes the multi objective of loss minimization and the minimization of voltage deviation. In this paper, the optimal location and size of the capacitor is found using a new computational intelligent algorithm called Flower Pollination Algorithm (FPA). To calculate the power flow and losses in the system, novel data structure load flow is introduced. In this, each bus is considered as a node with bus associated data. Links between the nodes are distribution lines and their own resistance and reactance. To validate the developed FPA solutions standard test cases, IEEE 33 and IEEE 69 radial distribution systems are considered.
    Źródło:
    Archives of Electrical Engineering; 2016, 65, 2; 203-220
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On-line losses minimization of induction motor vector control
    Autorzy:
    Rouabah, Z.
    Abdelhadi, B.
    Anayi, F.
    Zidani, F.
    Powiązania:
    https://bibliotekanauki.pl/articles/141053.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    minimalizacja strat
    efektywność
    sterowanie polowo zorientowane
    silnik indukcyjny
    algorytm genetyczny kodowania rzeczywistego
    loss minimization
    efficiency
    field-oriented control
    FOC
    induction motor
    real-coded genetic algorithm
    RCGA
    Opis:
    Conventional field-orientated Induction motor drives operate at rated flux even at low load. To improve the efficiency of the existing motor it is important to regulate the flux of the motor in the desired operating range. In this paper a loss model controller (LMC) based on the real coded genetic algorithm is proposed, it has the straightforward goal of maximizing the efficiency for each given load torque. In order to give more accuracy to the motor model and the LMC a series model of the motor which consider the iron losses as a resistance connected in series with the mutual inductance is considered. Digital computer simulation demonstrates the effectiveness of the proposed algorithm and also simulation results have confirmed that this algorithm yields the optimal efficiency.
    Źródło:
    Archives of Electrical Engineering; 2011, 60, 3; 257-268
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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