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The following topics are dealt with: smart power grid; energy management system; distributed power balancing; wide area monitoring and control; fault detection; distributed photovoltaic generators; advanced metering; power transformers; substation automated data analysis; electric vehicles; cognitive radio; wireless sensors communication; overhead transmission line monitoring; secure communication...
A new dynamic electrical load model for an HVAC chiller for use in demand response applications is presented. The coupling of a building's electrical and thermal characteristics is not adequately captured using existing static models. Therefore a dynamic model is proposed. This allows for more accurate planning of the dispatching of load for demand side response. The model in this paper is derived...
In this paper, we study Demand Response (DR) problematics for different levels of information sharing in a smart grid. We propose a dynamic pricing scheme incentivizing consumers to achieve an aggregate load profile suitable for utilities, and study how close they can get to an ideal flat profile depending on how much information they share. When customers can share all their load profiles, we provide...
In this paper, we consider two abstract market models for designing demand response to match power supply and shape power demand, respectively. We characterize the resulting equilibria in competitive as well as oligopolistic markets, and propose distributed demand response algorithms to achieve the equilibria. The models serve as a starting point to include the appliance-level details and constraints...
Economic models should be based on real data if possible, and one of the most extensive data sources for energy consumption is the U.S. government's Residential Energy Consumption Survey (RECS). The survey results indicate what terms are most important, and they provide much of the data necessary to fit parameters of a demand function, but they neglect seasonal variations in prices and heating and...
In this paper, we consider a smart power infrastructure, where several subscribers share a common energy source. Each subscriber is equipped with an energy consumption controller (ECC) unit as part of its smart meter. Each smart meter is connected to not only the power grid but also a communication infrastructure such as a local area network. This allows two-way communication among smart meters. Considering...
In order to keep a proper functional electricity grid and to prevent large investments in the current grid, the creation, transmission and consumption of electricity needs to be controlled and organized in a different way as done nowadays. Smart meters, distributed generation and -storage and demand side management are novel technologies introduced to reach a sustainable, more efficient and reliable...
We have embarked on a comprehensive smart grid demonstration project in the Pacific Northwest involving 60,000 customers from 12 utilities across 5 states, covering the end-to-end electrical system from generation to consumption, built around a substantial infrastructure of deployed smart meters. The goal of this project is to demonstrate among other things how transactive control can be used to manage...
In this paper we propose distributed load management in smart grid infrastructures to control the power demand at peak hours, by means of dynamic pricing strategies. The distributed solution that we propose is based on a network congestion game, which can be demonstrated to converge in a finite number of steps to a pure Nash equilibrium solution. We take advantage of the remarkable property of congestion...
Demand Response (DR) refers to actions taken by the utility to respond to a shortage of supply for a short duration of time in the future. DR is one of the enablers of the Smart Grid paradigm as it promotes interaction and responsiveness of the customers and changes the grid from a vertically integrated structure to one that is affected by the behavior of the demand side. In Principle, it is possible...
We design an optimal incentive mechanism offered to energy customers at multiple network levels, e.g., distribution and feeder networks, with the aim of determining the lowest-cost aggregate energy demand reduction. Our model minimizes a utility's total cost for this mode of virtual demand generation, i.e., demand reduction, to achieve improvements in both total systemic costs and load reduction over...
Faced with an uncertain path forward to renewables portfolio standard (RPS) goals and the high cost of energy storage, we believe that deep demand side management must be a central strategy to achieve widespread penetration of renewable energy sources. We examine the variability of wind as a source of renewable, non-dispatchable energy and the loads that can be dispatched to match sources of this...
Utilities need access to spectrum to meet their communications needs to support smart grid applications and federal public policy should enable utilities to share spectrum with public safety and with federal government users.
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