Modified Ant Lion Algorithms in Distributed Generations Systems: Optimization of Distributed Generations using intelligent Techniques - Softcover
Synopsis
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).
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Modified Ant Lion Algorithms in Distributed Generations Systems
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LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208483204
ISBN 13: 9786208483203
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Modified Ant Lion Algorithms in Distributed Generations Systems (Paperback)
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LAP Lambert Academic Publishing, 2025
ISBN 10: 6208483204
ISBN 13: 9786208483203
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Paperback. Condition: 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 multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9786208483203
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Modified Ant Lion Algorithms in Distributed Generations Systems
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Modified Ant Lion Algorithms in Distributed Generations Systems
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Modified Ant Lion Algorithms in Distributed Generations Systems
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Modified Ant Lion Algorithms in Distributed Generations Systems
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Modified Ant Lion Algorithms in Distributed Generations Systems (Paperback)
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ISBN 10: 6208483204
ISBN 13: 9786208483203
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Paperback. Condition: 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. Seller Inventory # 9786208483203
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Modified Ant Lion Algorithms in Distributed Generations Systems
Published by
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ISBN 10: 6208483204
ISBN 13: 9786208483203
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Modified Ant Lion Algorithms in Distributed Generations Systems
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ISBN 10: 6208483204
ISBN 13: 9786208483203
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Taschenbuch. Condition: 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. Seller Inventory # 9786208483203
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Modified Ant Lion Algorithms in Distributed Generations Systems : Optimization of Distributed Generations using intelligent Techniques
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208483204
ISBN 13: 9786208483203
New
Taschenbuch
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Taschenbuch. Condition: 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). Seller Inventory # 9786208483203