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Direct mathematical methods such as universal generating functions [9, 10] are utilized by analytical techniques for evaluating system and customers' reliability indices for determined states.
In this case, Customers' reliability at bus 20 is a little higher than that at bus 6 because of a relatively strong transmission network connected with bus 20.
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Therefore, lower customers' reliabilities are mainly caused by the increasing penetration of fluctuating wind power than the transmission network.
These generating units still play an important role for providing electricity and maintaining system and customers' reliabilities in existing power systems.
The proposed technique can be used to evaluate customers' reliabilities considering high penetration of wind power during the power system operation in the deregulated environment.
These markets are correlated with the real time operation of power systems, which may have significant impacts on system and customers' reliabilities in the operational stage.
For increasing system and customers' reliabilities, the rapid start-up units owned by the EFRPs have been utilized for providing additional 200 MW operating reserve.
However, the fast development and widely utilization of intermittent and fluctuating wind power generation have brought complexities for securing system balancing and maintaining system and customers' reliabilities during the operational phase.
Policy decisions promote commercial interests, not customer reliability.
Since distribution systems account for up to 90%% of all customer reliability problems, improving distribution reliability is the key to improve customer reliability (Brown 2002).
Assuming given outage rates and repair times, distribution system design is the remaining factor in determining customer reliability.
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