357 citations · 1.4k across the 21 of their papers we have counts for
24 papers
Real-time Grid and DER Co-simulation Platform for Validating Large-scale DER Control Schemes
Adil Khurram, Mahraz Amini, Luis A. Duffaut Espinosa +2
Distributed energy resources (DERs) such as responsive loads and energy storage systems are valuable resources available to grid operators for balancing supply-demand mismatches vi…
Using historical utility outage data to compute overall transmission grid resilience
Molly Rose Kelly-Gorham, Paul. D. H. Hines, Ian Dobson
Given increasing risk from climate-induced natural hazards, there is growing interest in the development of methods that can quantitatively measure resilience in power systems. Thi…
A Model-Predictive Control Method for Coordinating Virtual Power Plants and Packetized Resources, with Hardware-in-the-Loop Validation
Mahraz Amini, Adil Khurram, Andrew Klem +2
In this paper, we employ a bi-level control system to react to disturbances and balance power mismatch by coordinating distributed energy resources (DERs) under packetized energy m…
Risk of Cascading Blackouts Given Correlated Component Outages
Laurence A. Clarfeld, Paul D. H. Hines, Eric M. Hernandez +1
Cascading blackouts typically occur when nearly simultaneous outages occur in k out of N components in a power system, triggering subsequent failures that propagate through the net…
Mitigating the Risk of Voltage Collapse using Statistical Measures from PMU Data
Samuel Chevalier, Paul D. H. Hines
With the continued deployment of synchronized Phasor Measurement Units (PMUs), high sample rate data are rapidly increasing the real time observability of power systems. Prior rese…
Crowdsourcing Predictors of Residential Electric Energy Usage
Mark D. Wagy, Josh C. Bongard, James P. Bagrow +1
Crowdsourcing has been successfully applied in many domains including astronomy, cryptography and biology. In order to test its potential for useful application in a Smart Grid con…
What we write about when we write about causality: Features of causal statements across large-scale social discourse
Thomas C. McAndrew, Joshua C. Bongard, Christopher M. Danforth +3
Identifying and communicating relationships between causes and effects is important for understanding our world, but is affected by language structure, cognitive and emotional bias…
Identifying System-Wide Early Warning Signs of Instability in Stochastic Power Systems
Samuel Chevalier, Paul Hines
Prior research has shown that spectral decomposition of the reduced power flow Jacobian (RPFJ) can yield participation factors that describe the extent to which particular buses co…
A Network-of-Networks Model for Electrical Infrastructure Networks
Mahantesh Halappanavar, Eduardo Cotilla-Sanchez, Emilie Hogan +4
Modeling power transmission networks is an important area of research with applications such as vulnerability analysis, study of cascading failures, and location of measurement dev…
Centralized versus Decentralized Infrastructure Networks
Paul D. H. Hines, Seth Blumsack, Markus Schläpfer
While many large infrastructure networks, such as power, water, and natural gas systems, have similar physical properties governing flows, these systems tend to have distinctly dif…
Real-time Top-K Predictive Query Processing over Event Streams
Saurav Acharya, Byung Suk Lee, Paul Hines
This paper addresses the problem of predicting the k events that are most likely to occur next, over historical real-time event streams. Existing approaches to causal prediction qu…
Cascading Power Outages Propagate Locally in an Influence Graph that is not the Actual Grid Topology
Paul D. H. Hines, Ian Dobson, Pooya Rezaei
In a cascading power transmission outage, component outages propagate non-locally, after one component outages, the next failure may be very distant, both topologically and geograp…
Dynamic Modeling of Cascading Failure in Power Systems
Jiajia Song, Eduardo Cotilla-Sanchez, Goodarz Ghanavati +1
The modeling of cascading failure in power systems is difficult because of the many different mechanisms involved; no single model captures all of these mechanisms. Understanding t…
Identifying Useful Statistical Indicators of Proximity to Instability in Stochastic Power Systems
Goodarz Ghanavati, Paul D. H. Hines, Taras I. Lakoba
Prior research has shown that autocorrelation and variance in voltage measurements tend to increase as power systems approach instability. This paper seeks to identify the conditio…
Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependency
Mert Korkali, Jason G. Veneman, Brian F. Tivnan +1
Increased coupling between critical infrastructure networks, such as power and communication systems, will have important implications for the reliability and security of these sys…
Estimating Cascading Failure Risk with Random Chemistry
Pooya Rezaei, Paul D. H. Hines, Margaret J. Eppstein
The potential for cascading failure in power systems adds substantially to overall reliability risk. Monte Carlo sampling can be used with a power system model to estimate this imp…
Investigating early warning signs of oscillatory instability in simulated phasor measurements
Goodarz Ghanavati, Paul D. H. Hines, Taras I. Lakoba
This paper shows that the variance of load bus voltage magnitude in a small power system test case increases monotonically as the system approaches a Hopf bifurcation. This propert…
Understanding early indicators of critical transitions in power systems from autocorrelation functions
Goodarz Ghanavati, Paul D. H. Hines, Taras I. Lakoba +1
Many dynamical systems, including power systems, recover from perturbations more slowly as they approach critical transitions---a phenomenon known as critical slowing down. If the…
Calculation of the Autocorrelation Function of the Stochastic Single Machine Infinite Bus System
Goodarz Ghanavati, Paul D. H. Hines, Taras Lakoba +1
Critical slowing down (CSD) is the phenomenon in which a system recovers more slowly from small perturbations. CSD, as evidenced by increasing signal variance and autocorrelation,…
Changes in Cascading Failure Risk with Generator Dispatch Method and System Load Level
Pooya Rezaei, Paul D. H. Hines
Industry reliability rules increasingly require utilities to study and mitigate cascading failure risk in their system. Motivated by this, this paper describes how cascading failur…
Transdisciplinary electric power grid science
Charles D. Brummitt, Paul D. H. Hines, Ian Dobson +2
The 20th-century engineering feat that most improved the quality of human life, the electric power system, now faces discipline-spanning challenges that threaten that distinction.…
Crowdsourcing Predictors of Behavioral Outcomes
Josh C. Bongard, Paul D. H. Hines, Dylan Conger +2
Generating models from large data sets -- and determining which subsets of data to mine -- is becoming increasingly automated. However choosing what data to collect in the first pl…
Comparing the Topological and Electrical Structure of the North American Electric Power Infrastructure
Eduardo Cotilla-Sanchez, Paul D. H. Hines, Clayton Barrows +1
The topological (graph) structure of complex networks often provides valuable information about the performance and vulnerability of the network. However, there are multiple ways t…
Do topological models provide good information about vulnerability in electric power networks?
Paul Hines, Eduardo Cotilla-Sanchez, Seth Blumsack
In order to identify the extent to which results from topological graph models are useful for modeling vulnerability in electricity infrastructure, we measure the susceptibility of…