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The power generation, transmission & distribution system must be able to supply uninterrupted power reliably while maintaining the power quality throughout. The constraints like the generation capacity and system disturbances, affect the reliability and overall performance of system adversely. Thus, there is a strong need of enhancing power system capability to maintain power quality of the grid...
Noticing the ever increasing dependency of life to the electrical energy, continuance of high quality service non-failure of power is very important for consumers. For achieving this goal, each main part of power system should have proper reliability. Some Papers have introduced the modeling methods for reliability evaluation of Transferring and Distribution parts at the power systems, But this paper...
Power system restructuring with high renewable energy penetration has created some new problems for reliability evaluation. One of the problems is the large computation time due to the increased number of renewable generators. In this regard, the reliability network equivalent techniques have been introduced to simplify calculation. These techniques are simpler than the conventional contingency enumeration...
The performance of a power system in an operational time frame can be evaluated by the short-term reliability assessment. The component reliability model usually uses exponential distribution for the repair time because of its simplicity. However, this assumption may lead to the inaccuracy in evaluation results, especially large errors in short-term evaluation. Therefore, the non-exponential distribution...
The integration of a large number of wind farms will have a significant impact on the reliability performance of the electric generation and transmission systems. In this paper, an adequacy evaluation model of wind power integration in power system based on the sequential Monte-Carlo simulation approach is presented. This model is applied to simulate power system including wind power generation. Depth...
It mentions a new method of distribution reliability assessment based on Bayesian network timing simulation. It uses node model "causal" to change the gotten or lost duration of load points combined with the characteristics of Bayesian diagnostic reasoning and causal reasoning. it can simply effectively obtain the index of distribution system reliability and find out the weakest link of...
In this paper, a novel approach is presented for constructing the Bayesian Network (BN) that can be used in detailed reliability assessments of a power system based on the loss of load probability (LOLP). This method, which is applicable to large and complex power systems, is based on the learning capability of BN from data. In order to obtain training data, state sampling method of the Monte Carlo...
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