Security Assessment is a term used to describe
the process of ensuring system operating security. Typically, power systems
operating in an N-1 condition are considered secure. N-1 means that the system
will remain in a secure operating state if any single event or failure occurs.
In a secure state all system parameters are operating as desired with all
voltages within their specified limits, no power lines overloaded, all loads
on line and being provided with power.
Modern power systems are often operated near capacity.
During periods of peak demand, power lines may be loaded to near capacity.
Operating a power system near capacity requires quick response by operators
in the event of an unexpected change in the system operating configuration.
Rapid security assessment is needed in order for the system to continue to
operate normally when contingencies occur.
As the demand for power increases, existing power grids are being more frequently
loaded nearly to capacity. As a result, system operators must rapidly
respond to sudden or unexpected changes in the systems operating configuration.
For example, wind or lightning may suddenly damage power lines taking
them out of service. When contingencies occur, operators must rapidly
assess and reconfigure systems if a normal operating state is to be maintained.
Because rapid assessment is becoming increasingly important, expert systems have
been developed to assist operators in making decisions
regarding security assessment. When sudden changes occur, there may not
be sufficient time for operators to run numerous power flow scenarios.
This is where an expert system can be very helpful.
An expert system is a computer system that can behave like an expert. In this case, the system
will behave like a power system expert. In the event of a failure or
sudden change, the expert system can rapidly assess the power system
operating condition and provide the operators with a weighted list that
indicates which power lines in a network are most critically loaded and
which are least critically loaded using a knowledge based approach. This greatly reduces the operators
work load and can vastly improve response time. The end result is improved
system reliability.
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