20,803 research outputs found
Competitive Privacy in the Smart Grid: An Information-theoretic Approach
Advances in sensing and communication capabilities as well as power industry
deregulation are driving the need for distributed state estimation in the smart
grid at the level of the regional transmission organizations (RTOs). This leads
to a new competitive privacy problem amongst the RTOs since there is a tension
between sharing data to ensure network reliability (utility/benefit to all
RTOs) and withholding data for profitability and privacy reasons. The resulting
tradeoff between utility, quantified via fidelity of its state estimate at each
RTO, and privacy, quantified via the leakage of the state of one RTO at other
RTOs, is captured precisely using a lossy source coding problem formulation for
a two RTO network. For a two-RTO model, it is shown that the set of all
feasible utility-privacy pairs can be achieved via a single round of
communication when each RTO communicates taking into account the correlation
between the measured data at both RTOs. The lossy source coding problem and
solution developed here is also of independent interest.Comment: Accepted for publication and presentation at the IEEE SmartGridComm
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Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities
Optimization of energy consumption in future intelligent energy networks (or
Smart Grids) will be based on grid-integrated near-real-time communications
between various grid elements in generation, transmission, distribution and
loads. This paper discusses some of the challenges and opportunities of
communications research in the areas of smart grid and smart metering. In
particular, we focus on some of the key communications challenges for realizing
interoperable and future-proof smart grid/metering networks, smart grid
security and privacy, and how some of the existing networking technologies can
be applied to energy management. Finally, we also discuss the coordinated
standardization efforts in Europe to harmonize communications standards and
protocols.Comment: To be published in IEEE Communications Surveys and Tutorial
Scenarios for the development of smart grids in the UK: synthesis report
‘Smart grid’ is a catch-all term for the smart options that could transform the ways society produces, delivers and consumes energy, and potentially the way we conceive of these services. Delivering energy more intelligently will be fundamental to decarbonising the UK electricity system at least possible cost, while maintaining security and reliability of supply.
Smarter energy delivery is expected to allow the integration of more low carbon technologies and to be much more cost effective than traditional methods, as well as contributing to economic growth by opening up new business and innovation opportunities. Innovating new options for energy system management could lead to cost savings of up to £10bn, even if low carbon technologies do not emerge. This saving will be much higher if UK renewable energy targets are achieved.
Building on extensive expert feedback and input, this report describes four smart grid scenarios which consider how the UK’s electricity system might develop to 2050. The scenarios outline how political decisions, as well as those made in regulation, finance, technology, consumer and social behaviour, market design or response, might affect the decisions of other actors and limit or allow the availability of future options. The project aims to explore the degree of uncertainty around the current direction of the electricity system and the complex interactions of a whole host of factors that may lead to any one of a wide range of outcomes. Our addition to this discussion will help decision makers to understand the implications of possible actions and better plan for the future, whilst recognising that it may take any one of a number of forms
Smart Procurement of Naturally Generated Energy (SPONGE) for Plug-in Hybrid Electric Buses
We discuss a recently introduced ECO-driving concept known as SPONGE in the
context of Plug-in Hybrid Electric Buses (PHEB)'s.Examples are given to
illustrate the benefits of this approach to ECO-driving. Finally, distributed
algorithms to realise SPONGE are discussed, paying attention to the privacy
implications of the underlying optimisation problems.Comment: This paper is recently submitted to the IEEE Transactions on
Automation Science and Engineerin
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