| Artificial
Intelligence Substation Control |
Controlling
a substation by a fuzzy controller speeds up response time diminishes up the possibility
of risks normally related to human operations. The automation of electric substation
is an area under constant development Our research has focused on, the Selection
of the magnitude to be controlled, Definition and implementation of the soft techniques,
Elaboration of a programming tool to execute the control operations. it is possible
to control the desired status while supervising some important magnitudes as the
voltage, power factor, and harmonic distortion, as well as the present status.
The status of the circuit breakers can be control by using a knowledge base that
relates some of the operation magnitudes, mixing status variables with time variables
and fuzzy sets .The number of necessary magnitudes to a supervise and to control
a substation can be very high in the present research work, many magnitudes were
not included .To avoid the extensive number of required rules nevertheless , controlling
a substation by a fuzzy controller has the advantage that it can speed up the
response time and diminish the possibility of risks normally related to human
operations.
Introduction
Electric substations are facilities in charge of the voltage transformation to
provide safe and effective energy to the consumers. This energy supply has to
be carried out with sufficient quality and should guarantee the equipment security.
The associated cost to ensure quality and security during the supply in substations
is high. Automatic mechanisms are generally used in greater or lesser scale, although
they mostly operate according to an individual control and protection logic related
with the equipment itself and not with the topology of the whole substation in
a given moment.
The automation of electric
substation is an area under constant development. Nevertheless, the control of
a substation is a very complex task due to the great number of related problems
and, therefore, the decision variables that can influence the substation performance.
Under such circumstances, the use of learning control systems can be very useful.
Many papers on applications of artificial
intelligence (AI) techniques to power system have been published in the last year.
The difficulties associated with the application of this technique include:
" Selection of the magnitude to be controlled
" Definition and implementation of the soft techniques
" Elaboration
of a programming tool to execute the control operations
" Selection,
acquisition and installation of the measurement and control equipment
"
Interface with this equipment and
Applications
of the controlling technique in existent substations.
Even when all the
magnitudes to be controlled cannot be included in the analysis (mostly due to
the great number of measurements and status variables of the substation and, therefore,
to the rules that would be required by the controller), it is possible to control
the desired status while supervising some important magnitudes as the voltage,
power factor, and harmonic distortion, as well as the present status.
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