Projects per year
Abstract / Description of output
Renewable distributed generation (DG), primarily
wind power, will represent the lion’s share of the new generation
capacity that will be connected to distribution systems. However,
while both firm and variable generation present our traditionally
passive distribution networks with well-established technical challenges,
the requirements and practices related to the power factor
operation of these generation plants might lead to undesirable
effects at the transmission level with the reactive power support
needed by high penetrations of DG capacity potentially impacting
on weak areas of the transmission grid. In this work, this problem
is formulated as the minimization of the reactive support for DG
and is investigated using two different operational perspectives:
adopting passive but enhanced power factor and substation settings,
and implementing Smart Grid control schemes. These two
approaches are modeled using a tailored multi-period AC optimal
power flow technique that caters for the variability of demand
and generation, and considers N-1 contingencies. The results
demonstrate that the enhanced passive approach is able to achieve
a performance almost as good as Smart Grid control without the
need for any additional investment.
wind power, will represent the lion’s share of the new generation
capacity that will be connected to distribution systems. However,
while both firm and variable generation present our traditionally
passive distribution networks with well-established technical challenges,
the requirements and practices related to the power factor
operation of these generation plants might lead to undesirable
effects at the transmission level with the reactive power support
needed by high penetrations of DG capacity potentially impacting
on weak areas of the transmission grid. In this work, this problem
is formulated as the minimization of the reactive support for DG
and is investigated using two different operational perspectives:
adopting passive but enhanced power factor and substation settings,
and implementing Smart Grid control schemes. These two
approaches are modeled using a tailored multi-period AC optimal
power flow technique that caters for the variability of demand
and generation, and considers N-1 contingencies. The results
demonstrate that the enhanced passive approach is able to achieve
a performance almost as good as Smart Grid control without the
need for any additional investment.
Original language | English |
---|---|
Pages (from-to) | 2134 - 2142 |
Journal | IEEE Transactions on Power Systems |
Volume | 26 |
Issue number | 4 |
DOIs | |
Publication status | Published - Nov 2011 |
Keywords / Materials (for Non-textual outputs)
- Distributed generation
- N-1 contingencies
- smart grids
- optimal power flow
- wind power
Fingerprint
Dive into the research topics of 'Minimizing the Reactive Support for Distributed Generation: Enhanced Passive Operation and Smart Distribution Networks'. Together they form a unique fingerprint.Projects
- 2 Finished
-
-
Asset Management and Performancerof Energy Systems (AMPerES)
Harrison, G. & Bialek, J.
1/02/06 → 31/10/10
Project: Research