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F. Torelli

Researcher at University of Bari

Publications -  24
Citations -  301

F. Torelli is an academic researcher from University of Bari. The author has contributed to research in topics: Electric power system & Probabilistic logic. The author has an hindex of 9, co-authored 24 publications receiving 284 citations.

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A Gauss-Jacobi-Block-Newton method for parallel transient stability analysis (of power systems)

TL;DR: A parallel method for the transient stability simulation of power systems is presented, using the trapezoidal rule and a parallel Block-Newton relaxation technique to solve the overall set of algebraic equations concurrently on all the time steps.
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A pipelined-in-time parallel algorithm for transient stability analysis (power systems)

TL;DR: A new parallel algorithm for transient stability analysis is presented which has the same reliability and model-handling characteristics of typical dishonest Newton-like procedures and is usefully exploited in the parallel processing mode by pipelining the computation through time steps.
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A generalized approach to the analysis of voltage stability in electric power systems

TL;DR: In this paper, a linearized model in state space form of a multi-machine power system is presented, and rigorous voltage stability conditions are derived on the basis of a suitable aggregated model of original system capable of retaining the dynamics of voltages at generator and load nodes.
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Quadratic probabilistic load flow with linearly modelled dispatch

TL;DR: In this paper, a second-order probabilistic load flow technique is presented, which takes into account the effects of nonlinearities in the system equations and of different dispatching strategies.
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State space representation of interconnected power systems for dynamic interaction studies

TL;DR: In this paper, a linearized model of an interconnected power system in state space form is presented in order to analyse the dynamic interactions of its components across the interconnection network, and a suitable index is defined to measure the degree of dynamic interaction which may occur between the machines of the interconnected power systems.