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Wind and solar power are well known intermittent power sources with high availability uncertainties. Hence, whenever they are integrated to distribution systems, these power sources can increase significantly the complexity of system operation. This paper presents an impact analysis of distributed energy resources integration on distribution systems, focusing mainly on reliability aspects. Therefore,...
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...
This paper proposes a new methodology to assess system reliability considering time-dependent power sources and loads. Based on a non-sequential Monte Carlo simulation (MCS), the proposed method uses a multilevel non-aggregate Markov model to represent different chronological load patterns per area or bus. As a result, the fluctuation of generating capacities, a characteristic of renewable energy...
The paper investigates the impact of penetration of Distributed Generation (DG) on the reliability of a radial distribution network. The authors evaluate the reliability of a radial network with and without DG connection at different load points. Reliability evaluation is performed using the analytical and Monte Carlo Simulation (MCS) techniques and enhancement of reliability is compared with both...
Renewal process has been frequently employed as a mathematical model of components in power system reliability analysis. However, some of the components may enter an aging stage and this paper illustrates the effects of aging in reliability modeling. To implement the history of working and failure of system, Stochastic Point Process modeling based on Sequential Monte Carlo simulation is proposed....
This paper presents an approach to the dynamic optimization of the preventive maintenance schedule for machine tool components during operation based on the actual operating life and the respective load profile. Therefore, a stochastic model based on the Weibull cumulative damage generalized log-linear model and the Monte Carlo simulation is used. Furthermore, the effect of the dynamic optimization...
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