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This paper assesses the potential cost-saving incentives for content distribution networks to shift traffic load among geographically distributed data centers in response to hourly variation in electricity prices. Such incentives are likely aligned with benefits to utilities and grid operators, which might take the form of peak-shaving or ancillary services. However, private cost savings are not strictly...
In this paper, we design an architecture of Energy Management Systems (EMS) for resilient operation of microgrids and describe autonomous mechanisms that dynamically enable 1) enhancement for scalability, 2) system modification and upgrade, and 3) failure detection and recovery. Designing the resilient architecture and achieving autonomous mechanisms are of critical importance for a system operator...
Distribution grids include medium and low voltage lines that are involved in the delivery of electricity from substation to end-users/loads. A distribution grid is operated in a radial/tree-like structure, determined by switching on or off lines from an underling loopy graph. Due to the presence of limited real-time measurements, the critical problem of fast estimation of the radial grid structure...
Facing current and future developments of the energy system, including the integration of large numbers of renewable energy sources and electric vehicles, live monitoring and control becomes essential for stable operation of the power grid. This transition to a Smart Grid requires coupling the power system with a reliable and real-time capable communication infrastructure. In response to this demand,...
The smart charging techniques of electrical vehicles (EVs) are developed to minimize EVs' adverse effects on the power system. However, the existing techniques have some drawbacks. First, they use direct methods, which take the decision authority away from EVs' owner and reduce the EVs' acceptance and security. Second, they do not consider real-time effects of EVs' charging and discharging demand...
It is challenging to process real-time data analysis and prediction for a smart grid in a building with consideration of both occupant profile and energy profile. This paper proposed a distributed and networked machine learning platform on smart gateways based smart grid. It can analyze occupants motion, provide short-term energy forecasting and allocate renewable energy resource. Firstly, occupant...
We analyze the benefit of storage capacity sharing for a set of consumers in a community (e.g., an apartment building or an industrial park). Each consumer has its own choice of either installing its own storage system or investing in a shared storage system. More precisely, they will decide on the capacity of the storage system to minimize the installation cost subject to a chance constraint for...
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