Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786208483203
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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9786208483203
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786208483203
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 64 pp. Englisch. Codice articolo 9786208483203
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26405247957
Quantità: 4 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand. Codice articolo 407906314
Quantità: 4 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND. Codice articolo 18405247967
Quantità: 4 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. The aim of this work is to improve the power quality of a radially configured system (RFS) using modified Ant Lion (MALO) algorithms. The size and appropriate location of distributed sources (DS) are determined to ensure system stability and reduce energy losses. This approach ensures that the demand of stochastic loads (DSL) is met without affecting the overall stability of the system. The energy quality and performance (PQP) of the algorithm are evaluated using standard IEEE 14 bus, IEEE 33 bus and IEEE 69 bus tests. Power profiles and regulated voltage profiles after optimal sizing and allocation (OSA) of distributed sources demonstrate that this approach is suitable for optimizing systems when the nature of the demand and load is unknown. An objective function based on system stability and quality constraints (SSC) is used to establish system feasibility and robustness. Four configurations are used in terms of scenarios to assess the reliability of the system and the proposed method (RSPM). This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9786208483203
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The aim of this work is to improve the power quality of a radially configured system (RFS) using modified Ant Lion (MALO) algorithms. The size and appropriate location of distributed sources (DS) are determined to ensure system stability and reduce energy losses. This approach ensures that the demand of stochastic loads (DSL) is met without affecting the overall stability of the system. The energy quality and performance (PQP) of the algorithm are evaluated using standard IEEE 14 bus, IEEE 33 bus and IEEE 69 bus tests. Power profiles and regulated voltage profiles after optimal sizing and allocation (OSA) of distributed sources demonstrate that this approach is suitable for optimizing systems when the nature of the demand and load is unknown. An objective function based on system stability and quality constraints (SSC) is used to establish system feasibility and robustness. Four configurations are used in terms of scenarios to assess the reliability of the system and the proposed method (RSPM).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Codice articolo 9786208483203
Quantità: 1 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this work is to improve the power quality of a radially configured system (RFS) using modified Ant Lion (MALO) algorithms. The size and appropriate location of distributed sources (DS) are determined to ensure system stability and reduce energy losses. This approach ensures that the demand of stochastic loads (DSL) is met without affecting the overall stability of the system. The energy quality and performance (PQP) of the algorithm are evaluated using standard IEEE 14 bus, IEEE 33 bus and IEEE 69 bus tests. Power profiles and regulated voltage profiles after optimal sizing and allocation (OSA) of distributed sources demonstrate that this approach is suitable for optimizing systems when the nature of the demand and load is unknown. An objective function based on system stability and quality constraints (SSC) is used to establish system feasibility and robustness. Four configurations are used in terms of scenarios to assess the reliability of the system and the proposed method (RSPM). Codice articolo 9786208483203
Quantità: 2 disponibili