Smart Integration

Vojdani, Ali

doi:10.1109/mpe.2008.929744

Cited by 229 publications

(68 citation statements)

References 1 publication

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“…These techniques also benefit the grid, reducing the transportation losses and load shedding because of the self-consumption of local energy. Moreover, the use of these techniques will play an important role in the future smart-grids, helping to guarantee the energy supply and reducing the raw materials imports [28].…”

Section: Resultsmentioning

confidence: 99%

Neural network controller for Active Demand-Side Management with PV energy in the residential sector

et al. 2012

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In this paper, we describe the development of a control system for Demand-Side Management in the residential sector with Distributed Generation. The electrical system under study incorporates local PV energy generation, an electricity storage system, connection to the grid and a home automation system. The distributed control system is composed of two modules: a scheduler and a coordinator, both implemented with neural networks. The control system enhances the local energy performance, scheduling the tasks demanded by the user and maximizing the use of local generation.

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Section: Resultsmentioning

confidence: 99%

Neural network controller for Active Demand-Side Management with PV energy in the residential sector

et al. 2012

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“…"It is most important to develop an infrastructure that is flexible enough to benefit from technological improvements which may take places as the technology matures" [16]. The emergent vehicle charging infrastructure will be closely related to smart grid networks, the development of which requires "flexible design, agility, and improvisation necessitated by frequent and dramatic changes that are ill-suited for traditional utility-style projects" [29]. It follows that EV charging infrastructures must provide flexibility to enable further optimization of the technologies, interfaces, and business models that govern the systems.…”

Section: Apparatus-level Inputsmentioning

confidence: 99%

Charging Stations for Urban Settings the design of a product platform for electric vehicle infrastructure in Dutch cities

Hatton

Beella

Brezet

et al. 2009

WEVJ

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This paper reflects the essential role of supportive infrastructure in the mass implementation of electric drive vehicle technology. A focus is placed on the development of comprehensive systems that provide efficient and diverse recharging solutions for vehicle drivers. Mass adoption of electric mobility will reflect advances in the vehicles themselves, their infrastructural networks, and their position in the automotive market. Progress in these areas is highly related, and mandates coordinated design efforts. This paper discusses current problem areas, ongoing developments, and future trends in the design and development of charging systems for battery electric vehicles. The application of infrastructures that are simple, familiar, and context-sensitive is essential to promote consumer confidence and thereby enable successful market penetration. Specific requirements and conditions for the design of infrastructure systems for electric mobility are presented.

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“…The main objectives of SGs are the efficient use of energy, the reduction of losses in the system, improvement in the power quality (PQ), and to encourage the use of distributed generation, in particular renewable energy sources [1][2][3][4]. In this context, the increasing use of controllable and non-linear loads and the new needs of liberalized markets impose new PQ requirements in order to avoid dangerous effects [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Some advanced parametric methods for assessing waveform distortion in a smart grid with renewable generation

Alfieri

2015

EURASIP J. Adv. Signal Process.

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Power quality (PQ) disturbances are becoming an important issue in smart grids (SGs) due to the significant economic consequences that they can generate on sensible loads. However, SGs include several distributed energy resources (DERs) that can be interconnected to the grid with static converters, which lead to a reduction of the PQ levels. Among DERs, wind turbines and photovoltaic systems are expected to be used extensively due to the forecasted reduction in investment costs and other economic incentives. These systems can introduce significant time-varying voltage and current waveform distortions that require advanced spectral analysis methods to be used. This paper provides an application of advanced parametric methods for assessing waveform distortions in SGs with dispersed generation. In particular, the Standard International Electrotechnical Committee (IEC) method, some parametric methods (such as Prony and Estimation of Signal Parameters by Rotational Invariance Technique (ESPRIT)), and some hybrid methods are critically compared on the basis of their accuracy and the computational effort required.

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Smart Integration

Cited by 229 publications

References 1 publication

Neural network controller for Active Demand-Side Management with PV energy in the residential sector

Neural network controller for Active Demand-Side Management with PV energy in the residential sector

Charging Stations for Urban Settings the design of a product platform for electric vehicle infrastructure in Dutch cities

Some advanced parametric methods for assessing waveform distortion in a smart grid with renewable generation

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