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Saverio Bolognani

Researcher at ETH Zurich

Publications -  91
Citations -  3445

Saverio Bolognani is an academic researcher from ETH Zurich. The author has contributed to research in topics: AC power & Electric power system. The author has an hindex of 23, co-authored 91 publications receiving 2732 citations. Previous affiliations of Saverio Bolognani include Massachusetts Institute of Technology & University of Padua.

Papers
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On the Existence and Linear Approximation of the Power Flow Solution in Power Distribution Networks

TL;DR: In this article, the authors consider the problem of deriving an explicit approximate solution of the nonlinear power equations that describe a balanced power distribution network and propose an approximation that is linear in the active and reactive power demands of the PQ buses.
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A distributed control strategy for reactive power compensation in smart microgrids

TL;DR: An approximate model for the power distribution network is proposed, which allows the problem of optimal reactive power compensation for the minimization of power distribution losses in a smart microgrid to be cast into the class of convex quadratic, linearly constrained, optimization problems.
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A Distributed Control Strategy for Reactive Power Compensation in Smart Microgrids

TL;DR: In this article, the authors consider the problem of optimal reactive power compensation for the minimization of power distribution losses in a smart microgrid and propose an approximate model for the power distribution network, which allows them to cast the problem into the class of convex quadratic, linearly constrained optimization problems.
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Distributed Reactive Power Feedback Control for Voltage Regulation and Loss Minimization

TL;DR: Convergence to the configuration of minimum losses and feasible voltages is proved analytically for both a synchronous and an asynchronous version of the algorithm, where agents update their state independently one from the other.
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Optimal Placement of Virtual Inertia in Power Grids

TL;DR: This paper considers a linear network-reduced power system model along with an $\mathscr {H}_2$ performance metric accounting for the network coherency and provides a set of closed-form global optimality results for particular problem instances as a computational approach resulting in locally optimal solutions.