Online optimal stationary reference frame controller for inverter interfaced distributed generation in a microgrid system

This paper presents a novel optimal real-time controller for inverter-based distributed generation units in an islanded microgrid. With respect to the fact that the microgrid has a completely nonlinear structure and its dynamics is constantly changing, the linear controllers with constant and inflex...

Full description

Bibliographic Details
Main Authors: Xiao-yan Jiang, Chuan He, Kittisak Jermsittiparsert
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235248471931090X
_version_ 1818616020990951424
author Xiao-yan Jiang
Chuan He
Kittisak Jermsittiparsert
author_facet Xiao-yan Jiang
Chuan He
Kittisak Jermsittiparsert
author_sort Xiao-yan Jiang
collection DOAJ
description This paper presents a novel optimal real-time controller for inverter-based distributed generation units in an islanded microgrid. With respect to the fact that the microgrid has a completely nonlinear structure and its dynamics is constantly changing, the linear controllers with constant and inflexible coefficients cannot maintain proper response in a wide range of operation conditions. Hence, an optimal nonlinear controller that theirs coefficient are adjusted in a real-time manner based on fuzzy logic is presented. To improve the performance of the proposed real-time controller, its fuzzy system parameters are determined using an offline particle swarm optimization algorithm for various operation conditions. In the proposed real-time controller, proportional-resonant controllers are used due to their advantage in the stationary reference frame for controlling the voltage and current of distributed generation units in the microgrid. Capability and efficiency of the proposed real-time controller are evaluated in different operation scenarios in MATLAB/Simulink environment. The simulation results shows that changing the control coefficients online with respect to operation condition leads to achievement of an optimum answer for voltage during the occurrence of islanding condition and also in case of load variation in the islanded microgrid.
first_indexed 2024-12-16T16:43:10Z
format Article
id doaj.art-d02591d5a9a3411d950f048a7879bac3
institution Directory Open Access Journal
issn 2352-4847
language English
last_indexed 2024-12-16T16:43:10Z
publishDate 2020-11-01
publisher Elsevier
record_format Article
series Energy Reports
spelling doaj.art-d02591d5a9a3411d950f048a7879bac32022-12-21T22:24:15ZengElsevierEnergy Reports2352-48472020-11-016134145Online optimal stationary reference frame controller for inverter interfaced distributed generation in a microgrid systemXiao-yan Jiang0Chuan He1Kittisak Jermsittiparsert2Electric Engineering College, Tibet Agricultural and Animal Husbandry University, Nyingchi 860000, ChinaBa River Power Generation of State Grid Tibet Electric Power Company, Nyingchi 860000, ChinaSocial Research Institute, Chulalongkorn University, Bangkok 10330, Thailand; Corresponding author.This paper presents a novel optimal real-time controller for inverter-based distributed generation units in an islanded microgrid. With respect to the fact that the microgrid has a completely nonlinear structure and its dynamics is constantly changing, the linear controllers with constant and inflexible coefficients cannot maintain proper response in a wide range of operation conditions. Hence, an optimal nonlinear controller that theirs coefficient are adjusted in a real-time manner based on fuzzy logic is presented. To improve the performance of the proposed real-time controller, its fuzzy system parameters are determined using an offline particle swarm optimization algorithm for various operation conditions. In the proposed real-time controller, proportional-resonant controllers are used due to their advantage in the stationary reference frame for controlling the voltage and current of distributed generation units in the microgrid. Capability and efficiency of the proposed real-time controller are evaluated in different operation scenarios in MATLAB/Simulink environment. The simulation results shows that changing the control coefficients online with respect to operation condition leads to achievement of an optimum answer for voltage during the occurrence of islanding condition and also in case of load variation in the islanded microgrid.http://www.sciencedirect.com/science/article/pii/S235248471931090XMicrogridDistributed generationProportional-resonant controllerFuzzy logicParticle swarm optimization (PSO) algorithm
spellingShingle Xiao-yan Jiang
Chuan He
Kittisak Jermsittiparsert
Online optimal stationary reference frame controller for inverter interfaced distributed generation in a microgrid system
Energy Reports
Microgrid
Distributed generation
Proportional-resonant controller
Fuzzy logic
Particle swarm optimization (PSO) algorithm
title Online optimal stationary reference frame controller for inverter interfaced distributed generation in a microgrid system
title_full Online optimal stationary reference frame controller for inverter interfaced distributed generation in a microgrid system
title_fullStr Online optimal stationary reference frame controller for inverter interfaced distributed generation in a microgrid system
title_full_unstemmed Online optimal stationary reference frame controller for inverter interfaced distributed generation in a microgrid system
title_short Online optimal stationary reference frame controller for inverter interfaced distributed generation in a microgrid system
title_sort online optimal stationary reference frame controller for inverter interfaced distributed generation in a microgrid system
topic Microgrid
Distributed generation
Proportional-resonant controller
Fuzzy logic
Particle swarm optimization (PSO) algorithm
url http://www.sciencedirect.com/science/article/pii/S235248471931090X
work_keys_str_mv AT xiaoyanjiang onlineoptimalstationaryreferenceframecontrollerforinverterinterfaceddistributedgenerationinamicrogridsystem
AT chuanhe onlineoptimalstationaryreferenceframecontrollerforinverterinterfaceddistributedgenerationinamicrogridsystem
AT kittisakjermsittiparsert onlineoptimalstationaryreferenceframecontrollerforinverterinterfaceddistributedgenerationinamicrogridsystem