48,727 research outputs found
Smart Procurement Of Naturally Generated Energy (SPONGE) for PHEV's
In this paper we propose a new engine management system for hybrid vehicles
to enable energy providers and car manufacturers to provide new services.
Energy forecasts are used to collaboratively orchestrate the behaviour of
engine management systems of a fleet of PHEV's to absorb oncoming energy in an
smart manner. Cooperative algorithms are suggested to manage the energy
absorption in an optimal manner for a fleet of vehicles, and the mobility
simulator SUMO is used to show simple simulations to support the efficacy of
the proposed idea.Comment: Updated typos with respect to previous versio
The concept of energy traceability: Application to EV electricity charging by Res
The energy sustainability, in the era of sources diversification , can be guaranteed by an energy
resources utilization most correct, foreseeing no predominance of one source over the others in any area
of the world but a proper energy mix, based on locally available resources and needs. In this
scenario, manageable with a smart grid system, a virtuous use of RES must be visible,
recognizable and quantifiable, in one word traceable. The innovation of the traceability concept
consists in the possibility of having information concerning the exact origin of the electricity used for a
specific end use, in this case EV charging . The traceability, in a context of increasingly sustainability
and smartness city, is an important develop tool because only in this way it is possible to quantify
the real emissions produced by EVs and to ensure the real foresight of grid load. This paper wants
investigate the real ways to introduce this kind of real energy accounting, through the traceabilit
Optimal Net-Load Balancing in Smart Grids with High PV Penetration
Mitigating Supply-Demand mismatch is critical for smooth power grid
operation. Traditionally, load curtailment techniques such as Demand Response
(DR) have been used for this purpose. However, these cannot be the only
component of a net-load balancing framework for Smart Grids with high PV
penetration. These grids can sometimes exhibit supply surplus causing
over-voltages. Supply curtailment techniques such as Volt-Var Optimizations are
complex and computationally expensive. This increases the complexity of
net-load balancing systems used by the grid operator and limits their
scalability. Recently new technologies have been developed that enable the
rapid and selective connection of PV modules of an installation to the grid.
Taking advantage of these advancements, we develop a unified optimal net-load
balancing framework which performs both load and solar curtailment. We show
that when the available curtailment values are discrete, this problem is
NP-hard and develop bounded approximation algorithms for minimizing the
curtailment cost. Our algorithms produce fast solutions, given the tight timing
constraints required for grid operation. We also incorporate the notion of
fairness to ensure that curtailment is evenly distributed among all the nodes.
Finally, we develop an online algorithm which performs net-load balancing using
only data available for the current interval. Using both theoretical analysis
and practical evaluations, we show that our net-load balancing algorithms
provide solutions which are close to optimal in a small amount of time.Comment: 11 pages. To be published in the 4th ACM International Conference on
Systems for Energy-Efficient Built Environments (BuildSys 17) Changes from
previous version: Fixed a bug in Algorithm 1 which was causing some min cost
solutions to be misse
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