Optimal Capacity Planning of Distributed Generators: An Unbalanced Multi-phase Optimal Power Flow based Approach for MV/LV Distribution Networks - Tapa blanda

Anwar, Adnan; Pota, Hemanshu Roy

 
9783659593734: Optimal Capacity Planning of Distributed Generators: An Unbalanced Multi-phase Optimal Power Flow based Approach for MV/LV Distribution Networks
Tapa blanda
ISBN 10: 3659593737 ISBN 13: 9783659593734
Editorial: LAP LAMBERT Academic Publishing, 2014

Sinopsis

In this book, a method based on a sensitivity analysis and quadratic curve-fitting technique for power loss reduction in a low-voltage distribution area is proposed. For determining the optimum generation capacity of multiple DG units, a new methodology based on an unbalanced multi-phase optimal power flow (UM-OPF) is also presented. During the formulation of the UM-OPF, an optimisation algorithm is developed in Matlab and the unbalanced multi-phase power flow is solved using the Electric Power Research Institute’s (EPRI) software OpenDSS. To ensure a global minimum loss profile, adaptive weight particle swarm optimisation (AW-PSO) algorithm is used which shows better convergence profile compared with basic PSO algorithm. Validation of the proposed methodologies is also conducted using an exhaustive search algorithm. The results obtained from the proposed methods show that significant loss reduction is possible using multiple optimum sized DG units. To determine the optimum DG capacity, with varying generation and load, a cost minimisation planning methodology is also proposed. During the planning process, different DG technologies are considered.

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Reseña del editor

In this book, a method based on a sensitivity analysis and quadratic curve-fitting technique for power loss reduction in a low-voltage distribution area is proposed. For determining the optimum generation capacity of multiple DG units, a new methodology based on an unbalanced multi-phase optimal power flow (UM-OPF) is also presented. During the formulation of the UM-OPF, an optimisation algorithm is developed in Matlab and the unbalanced multi-phase power flow is solved using the Electric Power Research Institute's (EPRI) software OpenDSS. To ensure a global minimum loss profile, adaptive weight particle swarm optimisation (AW-PSO) algorithm is used which shows better convergence profile compared with basic PSO algorithm. Validation of the proposed methodologies is also conducted using an exhaustive search algorithm. The results obtained from the proposed methods show that significant loss reduction is possible using multiple optimum sized DG units. To determine the optimum DG capacity, with varying generation and load, a cost minimisation planning methodology is also proposed. During the planning process, different DG technologies are considered.

Biografía del autor

Adnan Anwar received his Master by Research degree from the UNSW Australia. He joined the University of Asia Pacific (UAP) as a lecturer in 2009. Currently, he is working as a postgraduate researcher in UNSW Australia. He has also worked with National ICT Australia (NICTA).

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3659593737
ISBN 13 
9783659593734
Encuadernación
Tapa blanda
Número de páginas
160
Contacto del fabricante
no disponible
Persona responsable
no disponible