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Award ID contains: 1735463

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  1. ; ; (, IEEE Transactions on Power Systems)
    null (Ed.)
    Full Text Available 
  2. ; ; ; (, Cambridge Journal of Regions, Economy and Society)
    Abstract Due to a spatial turn in the socio-technical transition literature, the geography of energy transitions has recently been taken increasingly seriously, leading to burgeoning research output on regional energy transitions since early 2010. Amidst this wealth of publications, however, it can be difficult to keep track of its diverse and constantly evolving landscape. This editorial therefore aims at developing a framework that allows for bringing multiple approaches to regional energy transitions into conversation with each other and that helps to understand and explain the complexity of these interdependencies in ways that go beyond observing regional variety in energy transitions. 
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    Full Text Available 
  3. (, IEEE SmartGridComm)
    Identifying the location of a disturbance and its magnitude is an important component for stable operation of power systems.We study the problem of localizing and estimating a disturbance in the interconnected power system. We take a model-free approach to this problem by using frequency data from generators. Specifically, we develop a logistic regression based method for localization and a linear regression based method for estimation of the magnitude of disturbance. Our model-free approach does not require the knowledge of system parameters such as inertia constants and topology, and is shown to achieve highly accurate localization and estimation performance even in the presence of measurement noise and missing data. 
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    Accepted Manuscript Full Text Available
  4. (, IEEE SmartGridComm)
    We study the performance of a decentralized integral control scheme for joint power grid frequency regulation and economic dispatch. We show that by properly designing the controller gains, after a power flow perturbation, the control achieves near-optimal economic dispatch while recovering the nominal frequency, without requiring any communication. We quantify the gap between the controllable power generation cost under the decentralized control scheme and the optimal cost, based on the DC power flow model. Moreover, we study the tradeoff between the cost and the convergence time, by adjusting parameters of the control scheme. Communication between generators reduces the convergence time. We identify key communication links whose failures have more significant impacts on the performance of a distributed power grid control scheme that requires information exchange between neighbors. 
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    Accepted Manuscript Full Text Available