On design of power sharing for VSC‐based islanded AC microgrids: An adaptive MIMO controller equipped with a predictor
Abstract In an AC microgrid, the active/reactive power is usually shared among its distributed generators (DGs) based on the frequency‐active power (F−P) droop and the voltage‐reactive power (V−Q) droop. By increasing the resistant/inductance ratio (R/X) of feeder lines; however, adverse effects of...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Wiley
2023-09-01
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Series: | IET Generation, Transmission & Distribution |
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Online Access: | https://doi.org/10.1049/gtd2.12975 |
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author | Farahnaz Ahmadi Yazdan Batmani Hassan Bevrani |
author_facet | Farahnaz Ahmadi Yazdan Batmani Hassan Bevrani |
author_sort | Farahnaz Ahmadi |
collection | DOAJ |
description | Abstract In an AC microgrid, the active/reactive power is usually shared among its distributed generators (DGs) based on the frequency‐active power (F−P) droop and the voltage‐reactive power (V−Q) droop. By increasing the resistant/inductance ratio (R/X) of feeder lines; however, adverse effects of interactions between these two control loops are intensified. In this paper, an adaptive multi‐input multi‐output (MIMO) current control structure is proposed to tackle this problem in AC microgrids with arbitrary numbers of DGs in the primary control level. A deep analysis based on the relative gain array (RGA) matrix and the diagonal dominance concept is provided to systematically design MIMO controllers. The proposed technique is based on the Lyapunov's stability theory, and the asymptotic stability of the whole microgrid is guaranteed. For each DG, the suggested design procedure is started by defining a model reference in which the desired control objectives, including the settling time and the steady‐state error, are considered. Then, a feedback‐feedforward controller is established where its gains are adaptively tuned by some rules derived from a Lyapunov function. Moreover, a predictor is used to estimate the adverse effects of other DGs which are taken into account as external disturbances during the design process of the adaptive controller. By considering some realistic scenarios through time‐domain simulations in MATLAB/SIMULINK, it is shown that the proposed strategy can be successfully used to solve the power sharing problem in AC microgrids. |
first_indexed | 2024-03-11T23:15:34Z |
format | Article |
id | doaj.art-6fe5e0206c8541bf9ee60d7e09b7b27e |
institution | Directory Open Access Journal |
issn | 1751-8687 1751-8695 |
language | English |
last_indexed | 2024-03-11T23:15:34Z |
publishDate | 2023-09-01 |
publisher | Wiley |
record_format | Article |
series | IET Generation, Transmission & Distribution |
spelling | doaj.art-6fe5e0206c8541bf9ee60d7e09b7b27e2023-09-21T04:21:25ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952023-09-0117184161417110.1049/gtd2.12975On design of power sharing for VSC‐based islanded AC microgrids: An adaptive MIMO controller equipped with a predictorFarahnaz Ahmadi0Yazdan Batmani1Hassan Bevrani2Department of Electrical Engineering University of Kurdistan Sanandaj IranDepartment of Electrical Engineering University of Kurdistan Sanandaj IranDepartment of Electrical Engineering University of Kurdistan Sanandaj IranAbstract In an AC microgrid, the active/reactive power is usually shared among its distributed generators (DGs) based on the frequency‐active power (F−P) droop and the voltage‐reactive power (V−Q) droop. By increasing the resistant/inductance ratio (R/X) of feeder lines; however, adverse effects of interactions between these two control loops are intensified. In this paper, an adaptive multi‐input multi‐output (MIMO) current control structure is proposed to tackle this problem in AC microgrids with arbitrary numbers of DGs in the primary control level. A deep analysis based on the relative gain array (RGA) matrix and the diagonal dominance concept is provided to systematically design MIMO controllers. The proposed technique is based on the Lyapunov's stability theory, and the asymptotic stability of the whole microgrid is guaranteed. For each DG, the suggested design procedure is started by defining a model reference in which the desired control objectives, including the settling time and the steady‐state error, are considered. Then, a feedback‐feedforward controller is established where its gains are adaptively tuned by some rules derived from a Lyapunov function. Moreover, a predictor is used to estimate the adverse effects of other DGs which are taken into account as external disturbances during the design process of the adaptive controller. By considering some realistic scenarios through time‐domain simulations in MATLAB/SIMULINK, it is shown that the proposed strategy can be successfully used to solve the power sharing problem in AC microgrids.https://doi.org/10.1049/gtd2.12975AC generatorsadaptive controlmicrogridsMIMO systemsstability |
spellingShingle | Farahnaz Ahmadi Yazdan Batmani Hassan Bevrani On design of power sharing for VSC‐based islanded AC microgrids: An adaptive MIMO controller equipped with a predictor IET Generation, Transmission & Distribution AC generators adaptive control microgrids MIMO systems stability |
title | On design of power sharing for VSC‐based islanded AC microgrids: An adaptive MIMO controller equipped with a predictor |
title_full | On design of power sharing for VSC‐based islanded AC microgrids: An adaptive MIMO controller equipped with a predictor |
title_fullStr | On design of power sharing for VSC‐based islanded AC microgrids: An adaptive MIMO controller equipped with a predictor |
title_full_unstemmed | On design of power sharing for VSC‐based islanded AC microgrids: An adaptive MIMO controller equipped with a predictor |
title_short | On design of power sharing for VSC‐based islanded AC microgrids: An adaptive MIMO controller equipped with a predictor |
title_sort | on design of power sharing for vsc based islanded ac microgrids an adaptive mimo controller equipped with a predictor |
topic | AC generators adaptive control microgrids MIMO systems stability |
url | https://doi.org/10.1049/gtd2.12975 |
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