Dynamic adaptation of droop control curves for microgrid connected inverters with variable input power

L. A. Carniato; R. B. Godoy; J. O.P. Pinto; C. A. Canesin; P. E.M.J. Ribeiro

doi:10.1109/COBEP.2013.6785240

Dynamic adaptation of droop control curves for microgrid connected inverters with variable input power

L. A. Carniato, R. B. Godoy, J. O.P. Pinto, C. A. Canesin, P. E.M.J. Ribeiro

Research output: Contribution to conference › Paper › peer-review

5 Scopus citations

Abstract

In this work a strategy for response dynamic optimization of a microgrid composed of an infinite bus (utility) and two inverters is proposed. Through the differential evolution technique, the optimized parameters of the droop control characteristics for operation in several equilibrium points are obtained. With an artificial neural network, these parameters are corrected for each operating point in order to ensure the stability as well as reduced settling time and damped response free of overshoot. The stability after changes in the operation point and the generalized dynamic response optimization are evaluated through simulation results using the software Matlab/Simulink^® and experimental results of the proposed microgrid.

Original language	English
Pages	1022-1028
Number of pages	7
DOIs	https://doi.org/10.1109/COBEP.2013.6785240
State	Published - 2013
Externally published	Yes
Event	2013 12th Brazilian Power Electronics Conference, COBEP 2013 - Gramado, RS, Brazil Duration: Oct 27 2013 → Oct 31 2013

Conference

Conference	2013 12th Brazilian Power Electronics Conference, COBEP 2013
Country/Territory	Brazil
City	Gramado, RS
Period	10/27/13 → 10/31/13

Keywords

Droop control
Inverters
Microgrid
Response dynamic optimization

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10.1109/COBEP.2013.6785240

Cite this

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title = "Dynamic adaptation of droop control curves for microgrid connected inverters with variable input power",

abstract = "In this work a strategy for response dynamic optimization of a microgrid composed of an infinite bus (utility) and two inverters is proposed. Through the differential evolution technique, the optimized parameters of the droop control characteristics for operation in several equilibrium points are obtained. With an artificial neural network, these parameters are corrected for each operating point in order to ensure the stability as well as reduced settling time and damped response free of overshoot. The stability after changes in the operation point and the generalized dynamic response optimization are evaluated through simulation results using the software Matlab/Simulink{\textregistered} and experimental results of the proposed microgrid.",

keywords = "Droop control, Inverters, Microgrid, Response dynamic optimization",

author = "Carniato, {L. A.} and Godoy, {R. B.} and Pinto, {J. O.P.} and Canesin, {C. A.} and Ribeiro, {P. E.M.J.}",

year = "2013",

doi = "10.1109/COBEP.2013.6785240",

language = "English",

pages = "1022--1028",

note = "2013 12th Brazilian Power Electronics Conference, COBEP 2013 ; Conference date: 27-10-2013 Through 31-10-2013",

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T1 - Dynamic adaptation of droop control curves for microgrid connected inverters with variable input power

AU - Carniato, L. A.

AU - Godoy, R. B.

AU - Pinto, J. O.P.

AU - Canesin, C. A.

AU - Ribeiro, P. E.M.J.

PY - 2013

Y1 - 2013

N2 - In this work a strategy for response dynamic optimization of a microgrid composed of an infinite bus (utility) and two inverters is proposed. Through the differential evolution technique, the optimized parameters of the droop control characteristics for operation in several equilibrium points are obtained. With an artificial neural network, these parameters are corrected for each operating point in order to ensure the stability as well as reduced settling time and damped response free of overshoot. The stability after changes in the operation point and the generalized dynamic response optimization are evaluated through simulation results using the software Matlab/Simulink® and experimental results of the proposed microgrid.

AB - In this work a strategy for response dynamic optimization of a microgrid composed of an infinite bus (utility) and two inverters is proposed. Through the differential evolution technique, the optimized parameters of the droop control characteristics for operation in several equilibrium points are obtained. With an artificial neural network, these parameters are corrected for each operating point in order to ensure the stability as well as reduced settling time and damped response free of overshoot. The stability after changes in the operation point and the generalized dynamic response optimization are evaluated through simulation results using the software Matlab/Simulink® and experimental results of the proposed microgrid.

KW - Droop control

KW - Inverters

KW - Microgrid

KW - Response dynamic optimization

UR - http://www.scopus.com/inward/record.url?scp=84899417858&partnerID=8YFLogxK

U2 - 10.1109/COBEP.2013.6785240

DO - 10.1109/COBEP.2013.6785240

M3 - Paper

AN - SCOPUS:84899417858

SP - 1022

EP - 1028

T2 - 2013 12th Brazilian Power Electronics Conference, COBEP 2013

Y2 - 27 October 2013 through 31 October 2013

ER -

Dynamic adaptation of droop control curves for microgrid connected inverters with variable input power

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Keywords

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