Andrea Angioni

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Distribution networks present their own features, significantly different from transmission systems features. For instance, loads are often unbalanced on the phases of the network. Moreover, the increasing amount of distributed generation, installed in an unplanned manner, is creating significant challenges. Such changing scenario imposes new operational(More)
Low-voltage state estimation (SE) in distribution power system, because of lack of real-time measurements, must heavily rely on pseudo-measurements, primarily originating from standard load profiles (SLPs). Actual load profiles have been recently suspected of significantly deviating from the SLPs, and research work is ongoing to quantify and characterize(More)
Distribution networks are only partially monitored networks, with loads often unbalanced on the phases of the system. Moreover, last generation of distribution networks are facing significant challenges, due to, as an example, the increasing amount of distributed generation (DG), installed in an unplanned manner. Such changing scenario emphasizes issues(More)
State estimation proposals in distribution power systems heavily rely on pseudo-measurements, primarily originating from standard load profiles. Actual load profiles are suspected to deviate significantly from the standard load profiles, and research work is ongoing to determine the amount of this deviation and to find ways to synthesize more realistic(More)
In future distribution network the need for automatic control and supervision has to be assisted by a monitoring system with high quality performance in terms of accuracy, reporting rate and robustness. However the number of measurement devices vs number of nodes buses is still very low. The increment in the measurement capacity can be achieved through(More)
The development of the smart grid requires new monitoring systems feasible to support automation functionalities as control of DER. As the key element in the monitoring system, the real time distribution system state estimation (DSSE) integrated with bad data processor is presented in this work. The developed DSSE is suitable for the real time application(More)
The development of the smart grid requires new monitoring systems able to support automation functionalities to control distributed energy resources. A real-time distribution system state estimator (DSSE) integrated with bad data processor is presented in this paper as a key element of the monitoring system. The developed DSSE is optimized for real-time(More)
In modern distribution grids voltage problems are likely to be more common and more significant, due to the high penetration of Distributed Generation (DG) that can vary their in-feed in short times. Coordinating these DGs, either in a centralized or distributed fashion, to maintain voltage at prescribed limits may be one effective solution. However, this(More)
Monitoring systems in distribution may account on sparse measurement infrastructure and therefore should be supported by robust state estimation techniques. The uncertainty of the estimated states depends, also, on the speed at which voltage magnitude and phase angle may change. In fact distribution systems include several components that in presence of(More)
Distribution System State Estimation (DSSE) is nowadays essential to enable the smart management of medium and low voltage grids. Due to the lack of a suitable measurement infrastructure, DSSE usually relies on the use of power injection pseudo-measurements derived from the knowledge of the historical and statistical behaviour of loads and generators. The(More)