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pro vyhledávání: '"Hines, Paul D. H."'
Autor:
Khurram, Adil, Amini, Mahraz, Espinosa, Luis A. Duffaut, Hines, Paul D. H., Almassalkhi, Mads
Distributed energy resources (DERs) such as responsive loads and energy storage systems are valuable resources available to grid operators for balancing supply-demand mismatches via load coordination. However, consumer acceptance of load coordination
Externí odkaz:
http://arxiv.org/abs/2106.01993
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. This work quantifies resilience in electric power transmission networks i
Externí odkaz:
http://arxiv.org/abs/1906.06811
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 management. Packetized energy management (PEM) is a novel bottom-up asy
Externí odkaz:
http://arxiv.org/abs/1901.03773
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 network and cause significant load shedding. While large cascades are rar
Externí odkaz:
http://arxiv.org/abs/1901.03304
Autor:
Chevalier, Samuel, Hines, Paul D. H.
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 research has shown that the statistics of these data can provide useful in
Externí odkaz:
http://arxiv.org/abs/1805.03703
Publikováno v:
IEEE Systems Journal, 2018
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 context, this paper investigates the extent to which a crowd can contribu
Externí odkaz:
http://arxiv.org/abs/1709.02739
Akademický článek
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Autor:
McAndrew, Thomas C., Bongard, Joshua C., Danforth, Christopher M., Dodds, Peter S., Hines, Paul D. H., Bagrow, James P.
Publikováno v:
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), San Francisco, CA, 2016, pp. 519-524
Identifying and communicating relationships between causes and effects is important for understanding our world, but is affected by language structure, cognitive and emotional biases, and the properties of the communication medium. Despite the increa
Externí odkaz:
http://arxiv.org/abs/1604.05781
Autor:
Halappanavar, Mahantesh, Cotilla-Sanchez, Eduardo, Hogan, Emilie, Duncan, Daniel, Zhenyu, Huang, Hines, Paul D. H.
Modeling power transmission networks is an important area of research with applications such as vulnerability analysis, study of cascading failures, and location of measurement devices. Graph-theoretic approaches have been widely used to solve these
Externí odkaz:
http://arxiv.org/abs/1512.01436
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 different sizes and topological structures. This paper seeks to understan
Externí odkaz:
http://arxiv.org/abs/1510.08792