TY - JOUR
T1 - State-of-the-art techniques and challenges ahead for distributed generation planning and optimization
AU - Keane, Andrew
AU - Ochoa, Luis F.
AU - Borges, Carmen L T
AU - Ault, Graham W.
AU - Alarcon-Rodriguez, Arturo D.
AU - Currie, Robert A F
AU - Pilo, Fabrizio
AU - Dent, Chris
AU - Harrison, Gareth P.
PY - 2013
Y1 - 2013
N2 - It is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years; however, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produce the best planning and control strategies. The work of this Task Force is focused on the numerous strategies and methods that have been developed in recent years to address DG integration and planning. This paper contains a critical review of the work in this field. Although there have been numerous publications in this area, widespread implementation of the methods has not taken place. The barriers to implementation of the advanced techniques are outlined, highlighting why network operators have been slow to pick up on the research to date. Furthermore, key challenges ahead which remain to be tackled are also described, many of which have come into clear focus with the current drive towards smarter distribution networks. © 2012 IEEE.
AB - It is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years; however, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produce the best planning and control strategies. The work of this Task Force is focused on the numerous strategies and methods that have been developed in recent years to address DG integration and planning. This paper contains a critical review of the work in this field. Although there have been numerous publications in this area, widespread implementation of the methods has not taken place. The barriers to implementation of the advanced techniques are outlined, highlighting why network operators have been slow to pick up on the research to date. Furthermore, key challenges ahead which remain to be tackled are also described, many of which have come into clear focus with the current drive towards smarter distribution networks. © 2012 IEEE.
KW - AC optimal power flow
KW - Active network management
KW - Distributed generation
KW - Distribution networks
KW - Linear programming
KW - Multi-objective programming
KW - Wind power generation
U2 - 10.1109/TPWRS.2012.2214406
DO - 10.1109/TPWRS.2012.2214406
M3 - Article
SN - 0885-8950
VL - 28
SP - 1493
EP - 1502
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 2
ER -