Control model for distributed generation and network automation for microgrids operation

Nascimento, Vinícius Cabral do; Lambert‐Torres, Germano; Costa, Claudio Inacio de Almeida; Silva, Luiz Eduardo Borges da

doi:10.1016/j.epsr.2015.05.025

Cited by 14 publications

(6 citation statements)

References 20 publications

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“…The iteration step for second-level reconfiguration is determined (K = K + 1) and the current structure is checked. If all structures are checked: K = K.max [K.max is the number of possible structures that is obtained according to (9)], objective function is calculated for all possible structures, then power loss and ENS criteria are calculated according to (12) and (13). According to objective function, ENS and power loss criteria optimal structure is selected.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…However, the MG islanding capability can provide various advantages such as reliability, power quality, and cost reduction [6][7][8], but need to control strategies is a major challenge for this operation mode. One of the most common approaches to MG local control in the islanded mode is droop control models [9][10][11]. When MG disconnected from the upstream network, the local frequency and voltage have changed, so to keep voltage and frequency within the allowed range, droop control should be used.…”

Section: Introductionmentioning

confidence: 99%

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Optimal scheduling of smart reconfigurable neighbour micro‐grids

Hemmati

Ghasemzadeh

Mohammadi‐Ivatloo

2019

IET Generation, Transmission & Distribution

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Section: Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal scheduling of smart reconfigurable neighbour micro‐grids

Hemmati

Ghasemzadeh

Mohammadi‐Ivatloo

2019

IET Generation, Transmission & Distribution

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“…Global warming and environment concern have caused a world-wide trend toward using clean natural resources. In contrast to conventional power plants, renewable energy resources (RESs) are installed in power systems inherently in a distributed manner [1]. This causes a great revolution in power systems in terms of control and energy management.…”

Section: Introductionmentioning

confidence: 99%

Improving power sharing in islanded networked microgrids using fuzzy-based consensus control

Eskandari

Moradi

2018

Sustainable Energy, Grids and Networks

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The rising worldwide trend toward developing clean energy resources has caused dispersed installation of renewable energy resources (RESs) in distribution grids. Microgrid (MG) concept is proposed as a key factor in optimal and secure integration of, mostly converter-based, RESs into power systems. One of the major challenges related to MG control is ineffectiveness of droop control in accurate power sharing which is affected by the feeder impedance. In this paper, a fuzzy-based consensus control protocol is developed to address this issue in multi-bus MGs (MBMGs). Consensus signals are inserted into the conventional droop controller as complementary part to overcome the drawback of the droop control in power sharing in MBMGs. Dynamic fuzzy coefficients of consensus signals are designed to model X/R ratio of the grid impedance in the control system. In addition, a novel small signal model of MBMG is developed, by considering the conventional droop control, MBMG power network and power lines impedance to design and assess performance of the control system. Consensus control is also incorporated into the proposed control system of MBMG to analyze the stability. Simulation results are presented to assess effectiveness of the control strategy in MATLAB\Simulink.

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“…En la actualidad se cuenta con algunos desarrollos de algoritmos clásicos de optimización para la gestión de la red con GD que incluyen eslabones de control encargados de la desconexión y reconexión de cargas y de ser posible su deslastre (Ms, et al, 2012;Ruiz-Romero et al, 2014). Asimismo se han desarrollado algoritmos para la planificación de las redes de distribución, incluyendo GD, que proponen la gestión de la red de distribución a través de funciones multi-objetivo cuya solución se realiza mediante algoritmos genéticos (Tazvinga et al, 2014;Nascimento et al, 2015).…”

Section: Introductionunclassified

Propuesta de modelo de Gestión para redes eléctricas con Generación Distribuida a través de Unidades de Medición Fasorial

2017

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ResumenEn el presente artículo se propone un modelo de gestión para redes de distribución eléctrica que incluyan elementos de Generación Distribuida (GD), mediante el monitoreo constante a través de Unidades de Medida Fasorial (PMU). Se analizan los conceptos de PMU, GD, algunos modelos de gestión para redes y el lenguaje de modelado Unificado UML, que es usado como base para el proceso de modelado del sistema de gestión propuesto. Posteriormente, se ilustran las etapas de modelado, los elementos estructurales y la funcionalidad que tiene el modelo de sistema de gestión propuesto. Se concluye que por tratarse de modelos de diseños abiertos y genéricos, se permite fácilmente incluir nuevos parámetros o un nuevo direccionamiento de los elementos de red, o nuevas estrategias de control para cumplir la tarea de gestión que se requiera. Palabras clave: modelo de gestión; red de distribución eléctrica; generación distribuida; unidad fasorial de medición; UML Proposal of a management model for electrical networks with distributed generation using Phasor Measurement Units AbstractIn this article, a management model for electricity distribution networks is proposed. The electricity distribution network includes elements of distributed generation (DG). The network monitoring is done through Phasor measurement units (PMU). The concepts of PMU, DG, management models for networks and Unified modeling language UML are analyzed. The UML language is used as the basis for modeling process management system proposed. Later, stages of modeling, structural elements and functionalities of the proposed model management system are illustrated. It is concluded that being model of open and generic design it can be easily include new parameters, or change de direction of the network elements, 0r new control strategies that may be needed to fulfill a desired management task.

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Control model for distributed generation and network automation for microgrids operation

Cited by 14 publications

References 20 publications

Optimal scheduling of smart reconfigurable neighbour micro‐grids

Optimal scheduling of smart reconfigurable neighbour micro‐grids

Improving power sharing in islanded networked microgrids using fuzzy-based consensus control

Propuesta de modelo de Gestión para redes eléctricas con Generación Distribuida a través de Unidades de Medición Fasorial

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