Título
Hybrid AC/DC microgrid mode-adaptive controlsGrupo de investigación
Sistemas electrónicos de potencia aplicados al control de la energía eléctricaVersión
Version publicada
Derechos
© 2017 The AuthorsAcceso
Acceso abiertoVersión del editor
http://dx.doi.org/10.5772/intechopen.69026Publicado en
Development and Integration of Microgrids Wenping Cao, editor. Pp. 255-273. InTech, 2017Editor
InTechPalabras clave
demand‐response
demand side management
distributed generation (DG)
Energy storage ... [+]
demand side management
distributed generation (DG)
Energy storage ... [+]
demand‐response
demand side management
distributed generation (DG)
Energy storage
inertia emulation
microgrids
mode‐adaptive control
primary control [-]
demand side management
distributed generation (DG)
Energy storage
inertia emulation
microgrids
mode‐adaptive control
primary control [-]
Resumen
The lack of inertial response at microgrids is usually compensated by configuring primary controllers of converter‐interfaced devices to contribute in the transient response under power disturbances. ... [+]
The lack of inertial response at microgrids is usually compensated by configuring primary controllers of converter‐interfaced devices to contribute in the transient response under power disturbances. The main purpose of this chapter is to study the modes of operation of primary level techniques of generation, storage, loads, and other devices attached to hybrid ac/dc microgrids. Although the chapter includes an analysis of the modes of operation of lower‐level regulators, the focus is on upper‐level or primary controllers. In this context, we analyze mode‐adaptive controls based on voltage and frequency levels and we evaluate their behavior by simulation in the Matlab/Simulink® environment. The results demonstrate that mode‐adaptive techniques are adequate for maximizing the energy extracted by distributed generation (DG) systems and limit demand side management actuations while ensuring an adequate regulation of the microgrid. [-]
Sponsorship
Gobierno VascoID Proyecto
info:eu-repo/grantAgreement/GV/Programa predoctoral de formación del personal investigador no doctor 2018-2019/PRE_2016_2_0241/CAPV//Colecciones
El ítem tiene asociados los siguientes ficheros de licencia: