Decentralised control of parallel inverters connected to microgrid using the derivative-free non-linear Kalman filter

Decentralised control for parallel inverters connected to the power grid is developed using differential flatness theory and the derivative-free nonlinear Kalman filter. It is proven that the model of the inverters, is a differentially flat one. This means that all its state variables and the contro...

Full description

Saved in:
Bibliographic Details
Published in:IET power electronics 2015-07, Vol.8 (7), p.1164-1180
Main Authors: Rigatos, Gerasimos, Siano, Pierluigi, Zervos, Nikolaos, Cecati, Carlo
Format: Article
Language:English
Subjects:
Controllers
decentralised control
derivative‐free nonlinear Kalman filter
differential flatness theory
distributed power generation
Estimates
Flatness
Flats
inverse transformation
inverse transforms
Inverters
invertors
Kalman filter recursion
Kalman filters
local linearised model
Mathematical models
microgrid
nonlinear filters
Nonlinearity
parallel inverters
pole assignment
pole placement methods
power grid
stand‐alone inverters
state feedback
state feedback controller
Citations: Items that this one cites
Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Decentralised control for parallel inverters connected to the power grid is developed using differential flatness theory and the derivative-free nonlinear Kalman filter. It is proven that the model of the inverters, is a differentially flat one. This means that all its state variables and the control inputs can be written as differential functions of a single algebraic variable which is the flat output. By exploiting differential flatness properties it is shown that the multiple inverters model can be transformed into a set of local inverter models which are decoupled and linearized. For each local inverter the design of a state feedback controller becomes possible. Such a controller processes measurements not only coming from the individual inverter but also coming from other inverters which are connected to the grid. Moreover, to estimate the non-measurable state variables of each local inverter, the derivative-free nonlinear Kalman filter is used. Furthermore, by redesigning the aforementioned filter as a disturbance observer it becomes also possible to estimate and compensate for disturbance terms that affect each local inverter.
ISSN:1755-4535
1755-4543
1755-4543
DOI:10.1049/iet-pel.2014.0497