Animated power-generating system reliability evaluation

This paper presents an animated power generating system reliability performance evaluation model. The model has real-time animation capabilities which allow the user to graphically view the interaction among various system components. The power generation model is developed based on a combination of Markov concepts and Monte Carlo techniques. The model incorporates the effects of several operating considerations, such as unit duty cycles, outage postponabilities, and planned outage schedules. Seven power system reliability performance measures such as loss of load expectation (LOLE), expected unserved energy (EUE), expected loss of load per year (ELLPYR), frequency of loss of load (FLOL), duration of loss of load (DLOL), expected energy not supplied per event (EENSPEV), expected loss of load per event (ELLPEV), and the statistics of each individual unit including the expected energy produced by some of the units and their expected number of hours operating, are reported. The results show that animation brings the user the single most effective way of verifying large-scale power system simulation models. Furthermore, it is concluded that animation based reliability models are a desirable and an ideal tool for educational purposes