Multi-Objective Decentralized Model Predictive Control for Inverter Air Conditioner Control of Indoor Temperature and Frequency Stabilization in Microgrid

Microgrid (MG) is a novel concept for a future distribution power system that enables renewable energy sources (RES). The intermittent RES, such as wind turbines and photovoltaic generators, can be connected to the MG via a power electronics inverter. However, the inverter interfaced RESs reduce the...

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Autores principales:	Jonglak Pahasa, Potejanasak Potejana, Issarachai Ngamroo
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	load frequency control inverter air conditioner decentralized model predictive control microgrid smart load Technology T
Acceso en línea:	https://doaj.org/article/ff05c8a0da224c1e85297c5778992137
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spelling	oai:doaj.org-article:ff05c8a0da224c1e85297c57789921372021-11-11T15:47:26ZMulti-Objective Decentralized Model Predictive Control for Inverter Air Conditioner Control of Indoor Temperature and Frequency Stabilization in Microgrid10.3390/en142169691996-1073https://doaj.org/article/ff05c8a0da224c1e85297c57789921372021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/6969https://doaj.org/toc/1996-1073Microgrid (MG) is a novel concept for a future distribution power system that enables renewable energy sources (RES). The intermittent RES, such as wind turbines and photovoltaic generators, can be connected to the MG via a power electronics inverter. However, the inverter interfaced RESs reduce the total inertia and damping properties of the traditional MG. Consequently, the system exhibits steeper frequency nadir and the rate of change of frequency (RoCoF), which may degrade the dynamic performance and cause the severe frequency fluctuation of the system. Smart loads such as inverter air conditioners (IACs) tend to be used for ancillary services in power systems. The power consumption of IACs can be regulated to suppress frequency fluctuation. Nevertheless, these IACs, regulating power, can cause the deviation of indoor temperature from the temperature setting. The variation in indoor temperature should be controlled to fulfill residential comfort. This paper proposes a multi-objective decentralized model predictive control (DMPC) for controlling the power consumption of IACs to reduce MG frequency fluctuation and control the variation in indoor temperature. Simulation results on the studied microgrid with the high penetration of wind and photovoltaic generator demonstrate that the proposed DMPC is able to regulate frequency deviation and control indoor temperature deviation as a user preference. In addition, the DMPC has a superior performance effect to the proportional-integral (PI) controller in terms of reducing frequency deviation, satisfying indoor temperature preferences, and being robust to the varying numbers of IACs.Jonglak PahasaPotejanasak PotejanaIssarachai NgamrooMDPI AGarticleload frequency controlinverter air conditionerdecentralized model predictive controlmicrogridsmart loadTechnologyTENEnergies, Vol 14, Iss 6969, p 6969 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	load frequency control inverter air conditioner decentralized model predictive control microgrid smart load Technology T
spellingShingle	load frequency control inverter air conditioner decentralized model predictive control microgrid smart load Technology T Jonglak Pahasa Potejanasak Potejana Issarachai Ngamroo Multi-Objective Decentralized Model Predictive Control for Inverter Air Conditioner Control of Indoor Temperature and Frequency Stabilization in Microgrid
description	Microgrid (MG) is a novel concept for a future distribution power system that enables renewable energy sources (RES). The intermittent RES, such as wind turbines and photovoltaic generators, can be connected to the MG via a power electronics inverter. However, the inverter interfaced RESs reduce the total inertia and damping properties of the traditional MG. Consequently, the system exhibits steeper frequency nadir and the rate of change of frequency (RoCoF), which may degrade the dynamic performance and cause the severe frequency fluctuation of the system. Smart loads such as inverter air conditioners (IACs) tend to be used for ancillary services in power systems. The power consumption of IACs can be regulated to suppress frequency fluctuation. Nevertheless, these IACs, regulating power, can cause the deviation of indoor temperature from the temperature setting. The variation in indoor temperature should be controlled to fulfill residential comfort. This paper proposes a multi-objective decentralized model predictive control (DMPC) for controlling the power consumption of IACs to reduce MG frequency fluctuation and control the variation in indoor temperature. Simulation results on the studied microgrid with the high penetration of wind and photovoltaic generator demonstrate that the proposed DMPC is able to regulate frequency deviation and control indoor temperature deviation as a user preference. In addition, the DMPC has a superior performance effect to the proportional-integral (PI) controller in terms of reducing frequency deviation, satisfying indoor temperature preferences, and being robust to the varying numbers of IACs.
format	article
author	Jonglak Pahasa Potejanasak Potejana Issarachai Ngamroo
author_facet	Jonglak Pahasa Potejanasak Potejana Issarachai Ngamroo
author_sort	Jonglak Pahasa
title	Multi-Objective Decentralized Model Predictive Control for Inverter Air Conditioner Control of Indoor Temperature and Frequency Stabilization in Microgrid
title_short	Multi-Objective Decentralized Model Predictive Control for Inverter Air Conditioner Control of Indoor Temperature and Frequency Stabilization in Microgrid
title_full	Multi-Objective Decentralized Model Predictive Control for Inverter Air Conditioner Control of Indoor Temperature and Frequency Stabilization in Microgrid
title_fullStr	Multi-Objective Decentralized Model Predictive Control for Inverter Air Conditioner Control of Indoor Temperature and Frequency Stabilization in Microgrid
title_full_unstemmed	Multi-Objective Decentralized Model Predictive Control for Inverter Air Conditioner Control of Indoor Temperature and Frequency Stabilization in Microgrid
title_sort	multi-objective decentralized model predictive control for inverter air conditioner control of indoor temperature and frequency stabilization in microgrid
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ff05c8a0da224c1e85297c5778992137
work_keys_str_mv	AT jonglakpahasa multiobjectivedecentralizedmodelpredictivecontrolforinverterairconditionercontrolofindoortemperatureandfrequencystabilizationinmicrogrid AT potejanasakpotejana multiobjectivedecentralizedmodelpredictivecontrolforinverterairconditionercontrolofindoortemperatureandfrequencystabilizationinmicrogrid AT issarachaingamroo multiobjectivedecentralizedmodelpredictivecontrolforinverterairconditionercontrolofindoortemperatureandfrequencystabilizationinmicrogrid
_version_	1718434064846815232

Multi-Objective Decentralized Model Predictive Control for Inverter Air Conditioner Control of Indoor Temperature and Frequency Stabilization in Microgrid

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