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

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
Couverture souple
ISBN 10 : 3659593737 ISBN 13 : 9783659593734
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659593737
ISBN 13 
9783659593734
Reliure
Broché
Nombre de pages
160
Coordonnées du fabricant
non disponible
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