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 RESEARCH INTEREST
Spanish version
Research interest of Francisco M. González-Longatt
A) BACKGROUND
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Electrical
energy networks and the methods by which
electrical energy is generated are changing.
The renewable energy market is growing with
a rapid rate. Renewable generation
technology has significantly improved in
recent years in terms of efficiency,
applicability as a primary source of energy
(on the transmission grid level as well as
emerging distributed generation
applications), and a lower cost of
implementation.
Renewable
energy market growth has been stimulated by
political and economical pressure to reduce
“greenhouse” gasses emissions and the need
to decrease the oil demand dependency. This
pressure is translated into a rapidly
increasing integration of renewable energy
sources as wind power within traditional
power systems.
However,
renewable energy sources continue to
represent the challenges in the control,
operation and reliability of the system.
These challenges can contribute or directly
lead to disruption on the grid. Therefore
these challenges are the main motivations
behind my proposed research activities.
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B) MAIN RESEARCH INTEREST
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My main research interest
is on the operation and control of large
electrical power systems, with a high
penetration of renewable energy sources and
new form of generation, furthermore,
with a strong inclination towards the
planning by means of the suitable modelling
and simulation.
Therefore, my research
program aims the development of planning
tools and, strategies of operational control
for the great systems of power so that:
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It decreases the risk and the
uncertainty when predicting the
behaviour of the network when it
includes complexities associated to the
new forms of generation
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It assists the industry to confront an
intensive integration process of new
forms of generation and technologies
based on renewable energy.
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Modelling,
simulation of electric power system
behaviour with high integration of
new form of generation and renewable
energy sources. This research
direction seeks to enables
simulation of the complexity arising
from many non-linear, dynamic,
history-dependent, multi-scale
interactions with feedback effects
that would defeat the traditional
statistical modelling and
equation-based model. The non
typical Techniques of the previous
modelling and simulation of this
kind are required to be developed,
so that it reflects the special
features of the problem domain.
Specific instances of proposed tools
and strategies to be investigated
include:
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Application of direct
methods to stability
analysis of a power system,
consisting of both
traditional synchronous
generator and new form of
generation. Special
challenges involve include
non-linearity existent in
almost distributed
generation technologies,
furthermore the use of
optimal control strategies
in to make more flexible the
renewable energy resources
during a disturbance.
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To
Create, to develop, and to
evaluate, models for
renewable energy sources and
new form of generation,
including alternate
modelling methods. Special
effort for developing and
validating the reduce order
model for wind farm and
cluster of mixed distributed
generation technologies in
microgrids form. |
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To
develop simulation models
for dynamic behaviour of
renewable sources and
includes the challenging
aspects of communication and
control in “smart” networks.
- To develop and to evaluate
new methods, for analysis of
the voltage stability of
power systems with
significant amounts
intermittent distributed
generation. |
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Impacts on
power system behaviour of grid
integration of new form of
generation and renewable energy
sources. This research is
focused in mitigating technical and
economic impact produced by high
integration levels of renewable
energy resources in traditional
electrical power system. It pursuit
the formulation of secure-economic
planning-operative strategies to
minimize risk caused by large-scale
penetration of intermittent
generation. Concretely under this
research direction, I look into:
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The
development of advanced
control strategies to
enhancing the performance of
renewable energy resources
and mitigate the impact that
it has on the operation,
control, and stability of
the electric power system.
The inclusion of new
component (e.g. FACTS,
Superconducting magnetic
energy storage, power system
stabiliser, etc) and new
approaches (e.g.
“smart-grids”, active
demand, etc) are aspects to
investigate. |
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C) MAIN RESEARCH INTEREST
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This research
sub-interest is applicable to both of the
main research interests:
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Optimization
methods in power system. The
power systems optimization problems
are very difficult to solve because
these are very large, complex,
geographically widely distributed
and are influenced by many
unexpected events. It is therefore
necessary to employ most efficient
optimization methods to take full
advantages in simplifying the
formulation and implementation of
the problem. I have applied several
techniques of optimization in the
solution of many power system
analysis problems. I used since
simple techniques as linear
programming to determine the optimal
location of distributed generation
in power system with technical
constraints, until more
sophisticated methods: including
some attempts with heuristic
algorithms. One of my sub-interests
is the design methods for wind
energy conversion system optimal
control with energy efficiency
criterion, in order to extract the
maximum power available in the wind
stream, irrespective of the wind
regimes, and takes place in the
partial-load region. |
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5th May of 2009
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