
Leonardo Di StasioUniversity of Cassino and Southern Lazio | UNICAS · Department of Electrical and Information Engineering
Leonardo Di Stasio
Master of Engineering
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8
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Publications
Publications (8)
The availability of data measured in the field is one of the greatest advances in the last decades for electric power systems planning, management and control. The technological innovations of systems and devices for the measurement of a wide range of quantities allowed their installation at almost all levels of voltages, from distribution to trans...
The field measurement campaigns have revealed that voltage sags also occur as clusters and not only as rare phenomena. The clusters of sags represent a stochastic process due to their time dependence; the rare satisfy the requirements for a Poisson distribution process. To forecast both kinds of sags using the statistics of the measurements, differ...
The forecast of the occurrence of voltage sags at
the sites of a system is nowadays feasible thanks to the
availability of huge quantity of recorded data. To forecast future
performance from the statistical analysis of recorded sags, the
stochastic modelling of the voltage sags is required since the
events are not statistically time independent. Th...
This paper presents the preliminary results of our research activity aimed at forecasting the number of voltage sags in distribution networks. The final goal of the research is to develop proper algorithms that the network operators could use to forecast how many voltage sags will occur at a given site. The availability of four years of measurement...
This paper provides a means of forecasting the future average performance a regional electric power system in terms of sags per year based on data accumulated over a four-year period. The paper also presents statistical analyses of the measured data. The sags measured in real systems consist of both rare voltage sags and grouped voltage sags (clust...
This paper refers to the voltage sags, which are among the most critical Power Quality disturbances. Thanks to the availability of measured voltage sags for four years in the same regional electric system, the work is our first attempt of using the registered voltage sags in three years for forecasting the expected voltage sags in the fourth year....