Deterministic optimal power flow for smart grid short-term predictive energy management

Benoît, Clémentine; Mercier, Aurélien; Bésanger, Yvon; Würtz, Fréderic

doi:10.1109/ptc.2013.6652502

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…GreenLys demonstrator area will be modelled in order to evaluate most of smart grid key points, i.e. : impacts of high penetration rates of DG, DG control strategy, soft load shedding, Optimal Power Flow [5], fault localization [6], Voltage Var Control… This paper presents a methodology allowing DSOs to determine the DGs (mainly photovoltaic panels) optimal phase connection, using Smart Meters and network topology data. The aim is to present a highly adaptable solution allowing DSOs to get a simulation tool, make it possible to find the best phase connection with a short study time.…”

Section: B Context and Objectives Of The Studymentioning

confidence: 99%

Best phase connection for DGs using individual smart meter data

Mercier

Benoît

Bésanger

2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

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This paper presents a method allowing to choose the best phase for connecting a single phase DG. The aim is to find which connection phase induces the lowest losses while avoiding overrun constraints. In that order, some weigthing function are created. A Smart Metering system has been considered, that save and transmit data consumption from customers to the operator. Various consumption periods have been considered to take into account winter and summer critical period. Finally a study case presents a LV feeder with a gradualy increasing insertion rate of DGs. A comparison is done between cases with and without optimal connection..

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Section: B Context and Objectives Of The Studymentioning

confidence: 99%

Best phase connection for DGs using individual smart meter data

Mercier

Benoît

Bésanger

2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

Self Cite

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“…− Interacción en tiempo real entre el equipo y las entidades remotas de gestión del sistema, así como con diferentes entidades que estén dentro del área de distribución (Caruana et al, 2015;Deng et al, 2015). − Determinismo temporal en las comunicaciones y marcación temporal en los datos (Benoit et al, 2013;Dong Han et al, 2014). − Especificaciones de respuesta temporal adecuadas para la monitorización de parámetros y para las acciones de protección, utilizando el contexto normativo en vigor.…”

Section: Introductionunclassified

Sistema Electrónico Inteligente para el Control de la Interconexión entre Equipamiento de Generación Distribuida y la Red Eléctrica

Real-Calvo¹,

Moreno-Munoz²,

Pallares-Lopez³

et al. 2017

Revista Iberoamericana de Automática e Informática Industrial R

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“…Primarily, there is a need for real-time interaction between the equipment and the remote system management units [9][10][11]. Other important aspects are the temporal determinism in the communications and time stamping of the data in order to establish the state of the interconnection interface with precision [12,13]. The synchrophasor schemes and the use of synchronism based on Precision Time Protocol (PTP) are examples of this type of solutions [14].…”

mentioning

confidence: 99%

An Embedded System in Smart Inverters for Power Quality and Safety Functionality

et al. 2016

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The electricity sector is undergoing an evolution that demands the development of a network model with a high level of intelligence, known as a Smart Grid. One of the factors accelerating these changes is the development and implementation of renewable energy. In particular, increased photovoltaic generation can affect the network's stability. One line of action is to provide inverters with a management capacity that enables them to act upon the grid in order to compensate for these problems. This paper describes the design and development of a prototype embedded system able to integrate with a photovoltaic inverter and provide it with multifunctional ability in order to analyze power quality and operate with protection. The most important subsystems of this prototype are described, indicating their operating fundamentals. This prototype has been tested with class A protocols according to IEC 61000-4-30 and IEC 62586-2. Tests have also been carried out to validate the response time in generating orders and alarm signals for protections. The highlights of these experimental results are discussed. Some descriptive aspects of the integration of the prototype in an experimental smart inverter are also commented upon.

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Deterministic optimal power flow for smart grid short-term predictive energy management

Cited by 5 publications

References 8 publications

Best phase connection for DGs using individual smart meter data

Best phase connection for DGs using individual smart meter data

Sistema Electrónico Inteligente para el Control de la Interconexión entre Equipamiento de Generación Distribuida y la Red Eléctrica

An Embedded System in Smart Inverters for Power Quality and Safety Functionality

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