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Since the adoption of plug-in electric vehicles (PEVs) is constantly increasing, in the coming years electrical distribution networks will face the problem of accommodating for massive and unpredictable extra loads with diverse operating patterns. In this paper, we propose a semi-decentralized architecture to control the charging process of a fleet of PEVs. To study the impact on a low voltage (LV)...
With the introduction of smart meters, dynamic pricing, and home energy management systems, residential customers are able to react to changes in electricity prices. In an unbundled market, the energy supplier and the network operator may have conflicting interests with respect to demand response (DR) programs. As customer participation is essential to a well-functioning DR program, it is needed to...
In the smart grid context, the identification and prediction of building energy flexibility is a challenging open question, thus paving the way for new optimized behaviors from the demand side. At the same time, the latest smart meters developments allow us to monitor in real-time the power consumption level of the home appliances, aiming at a very accurate energy disaggregation. However, due to practical...
Energy is a limited resource which has to be managed wisely, taking into account both supply-demand matching and capacity constraints in the distribution grid. One aspect of the smart energy management at the building level is given by the problem of real-time detection of flexible demand available. In this paper we propose the use of energy disaggregation techniques to perform this task. Firstly,...
This paper introduces a decentralized implicit interaction framework for trading flexibility available from proactive end users (prosumers) in an economically-efficient way. The proposed framework consists of two mechanisms: ahead planning via markets and real-time dispatching. The ahead, market-based planning includes two mechanisms, day-ahead and intra-day, which are operated by a local flexibility...
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