activity
20122026
most citedOn the Interactions between Multiple Overlapping WLANs using Channel Bonding

62 citations · 237 across the 31 of their papers we have counts for

collaborators

36 papers

math.PR2026

Metastable opinion dynamics with hidden preferences: an Ising model with neutral agents

Simone Baldassarri, Vanessa Jacquier, Alessandro Zocca

We introduce a new Ising-type framework for opinion dynamics that explicitly separates private preferences from publicly expressed binary opinions and naturally incorporates neutra…

eess.SY2024

Dynamic Dimensioning of Frequency Containment Reserves: The Case of the Nordic Grid

Jöbke Janssen, Alessandro Zocca, Bert Zwart +1

One of the main responsibilities of a Transmission System Operator (TSO) operating an electric grid is to maintain a designated frequency (e.g., 50 Hz in Europe). To achieve this,…

math.PR2023

Critical configurations of the hard-core model on square grid graphs

Simone Baldassarri, Vanessa Jacquier, Alessandro Zocca

We consider the hard-core model on a finite square grid graph with stochastic Glauber dynamics parametrized by the inverse temperature . We investigate how the transition betwee…

eess.SY2023

Uncovering Load-Altering Attacks Against N-1 Secure Power Grids: A Rare-Event Sampling Approach

Maldon Patrice Goodridge, Subhash Lakshminarayana, Alessandro Zocca

Load-altering attacks targetting a large number of IoT-based high-wattage devices (e.g., smart electric vehicle charging stations) can lead to serious disruptions of power grid ope…

cs.CR2023

Analysis of Cascading Failures Due to Dynamic Load-Altering Attacks

Maldon Patrice Goodridge, Alessandro Zocca, Subhash Lakshminarayana

Large-scale load-altering attacks (LAAs) are known to severely disrupt power grid operations by manipulating several internet-of-things (IoT)-enabled load devices. In this work, we…

math.PR2022★ 18 cited

Ising model on clustered networks: A model for opinion dynamics

Simone Baldassarri, Anna Gallo, Vanessa Jacquier +1

We study opinion dynamics on networks with a nontrivial community structure, assuming individuals can update their binary opinion as the result of the interactions with an external…

cs.LG2022

RangL: A Reinforcement Learning Competition Platform

Viktor Zobernig, Richard A. Saldanha, Jinke He +12

The RangL project hosted by The Alan Turing Institute aims to encourage the wider uptake of reinforcement learning by supporting competitions relating to real-world dynamic decisio…

eess.SY2022

Interface Networks for Failure Localization in Power Systems

Chen Liang, Alessandro Zocca, Steven H. Low +1

Transmission power systems usually consist of interconnected sub-grids that are operated relatively independently. When a failure happens, it is desirable to localize its impact wi…

math.OC2021★ 2 cited

Refining bridge-block decompositions through two-stage and recursive tree partitioning

Leon Lan, Alessandro Zocca

In transmission networks power flows and network topology are deeply intertwined due to power flow physics. Recent literature shows that specific network substructures named bridge…

math.OC2021★ 2 cited

Mixed-integer linear programming approaches for tree partitioning of power networks

Leon Lan, Alessandro Zocca

In transmission networks, power flows and network topology are deeply intertwined due to power flow physics. Recent literature shows that a specific more hierarchical network struc…

math.OC2021

Hopping between distant basins

Maldon Goodridge, John Moriarty, Jure Vogrinc +1

We present the Basin Hopping with Skipping (BH-S) algorithm for stochastic optimisation, which replaces the perturbation step of basin hopping (BH) with a so-called skipping propos…

math.OC2021★ 5 cited

A Spectral Representation of Power Systems with Applications to Adaptive Grid Partitioning and Cascading Failure Localization

Alessandro Zocca, Chen Liang, Linqi Guo +2

Transmission line failures in power systems propagate and cascade non-locally. This well-known yet counter-intuitive feature makes it even more challenging to optimally and reliabl…

eess.SY2020★ 13 cited

Line Failure Localization of Power Networks Part II: Cut Set Outages

Linqi Guo, Chen Liang, Alessandro Zocca +2

Transmission line failure in power systems prop-agate non-locally, making the control of the resulting outages extremely difficult. In Part II of this paper, we continue the study…

eess.SY2020

Adaptive Network Response to Line Failures in Power Systems

Chen Liang, Linqi Guo, Alessandro Zocca +2

Transmission line failures in power systems propagate and cascade non-locally. In this work, we propose an adaptive control strategy that offers strong guarantees in both the mitig…

eess.SY2020★ 28 cited

Line Failure Localization of Power Networks Part I: Non-cut Outages

Linqi Guo, Chen Liang, Alessandro Zocca +2

Transmission line failures in power systems propagate non-locally, making the control of the resulting outages extremely difficult. In this work, we establish a mathematical theory…

eess.SY2020

An Integrated Approach for Failure Mitigation & Localization in Power Systems

Chen Liang, Linqi Guo, Alessandro Zocca +3

The transmission grid is often comprised of several control areas that are connected by multiple tie lines in a mesh structure for reliability. It is also well-known that line fail…

math.OC2020★ 4 cited

Large Fluctuations in Locational Marginal Prices

Tommaso Nesti, John Moriarty, Alessandro Zocca +1

This paper investigates large fluctuations of Locational Marginal Prices (LMPs) in wholesale energy markets caused by volatile renewable generation profiles. Specifically, we study…

math.PR2020

Weighted Dyck paths for nonstationary queues

Gianmarco Bet, Jori Selen, Alessandro Zocca

We consider a model for a queue in which only a fixed number of customers can join. Each customer joins the queue independently at an exponentially distributed time. Assuming f…

math.PR2019

A Metropolis-class sampler for targets with non-convex support

John Moriarty, Jure Vogrinc, Alessandro Zocca

We aim to improve upon the exploration of the general-purpose random walk Metropolis algorithm when the target has non-convex support , by reusing proposals…

eess.SY2019★ 1 cited

Less is More: Real-time Failure Localization in Power Systems

Linqi Guo, Chen Liang, Alessandro Zocca +2

Cascading failures in power systems exhibit non-local propagation patterns which make the analysis and mitigation of failures difficult. In this work, we propose a distributed cont…

math.PR2018★ 1 cited

Temporal starvation in multi-channel CSMA networks: an analytical framework

Alessandro Zocca

In this paper we consider a stochastic model for a frequency-agile CSMA protocol for wireless networks where multiple orthogonal frequency channels are available. Even when the pos…

eess.SY2018

Frequency violations from random disturbances: an MCMC approach

John Moriarty, Jure Vogrinc, Alessandro Zocca

The frequency stability of power systems is increasingly challenged by various types of disturbances. In particular, the increasing penetration of renewable energy sources is incre…

eess.SY2018★ 2 cited

Failure Localization in Power Systems via Tree Partitions

Linqi Guo, Chen Liang, Alessandro Zocca +2

Cascading failures in power systems propagate non-locally, making the control and mitigation of outages extremely hard. In this work, we use the emerging concept of the tree partit…

math.OC2017

Optimization of stochastic lossy transport networks and applications to power grids

Alessandro Zocca, Bert Zwart

Motivated by developments in renewable energy and smart grids, we formulate a stylized mathematical model of a transport network with stochastic load fluctuations. Using an affine…