Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission

Optimal sizing of the power system can drastically reduce the total cost, which is challenging due to the fluctuation in output power of RE (primarily wind and solar) and pollution from thermal generators. The main purpose of this study is to cope with this output power uncertainty of renewables by...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Homeyra Akter, Harun Or Rashid Howlader, Ahmed Y. Saber, Paras Mandal, Hiroshi Takahashi, Tomonobu Senjyu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	advanced direct load control clustering hybrid energy system multi-objective optimization residential PV and BESS Technology T
Acceso en línea:	https://doaj.org/article/73fd273446b043c6990d6d6326545c1d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:73fd273446b043c6990d6d6326545c1d
record_format	dspace
spelling	oai:doaj.org-article:73fd273446b043c6990d6d6326545c1d2021-11-25T17:27:04ZOptimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission10.3390/en142275991996-1073https://doaj.org/article/73fd273446b043c6990d6d6326545c1d2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7599https://doaj.org/toc/1996-1073Optimal sizing of the power system can drastically reduce the total cost, which is challenging due to the fluctuation in output power of RE (primarily wind and solar) and pollution from thermal generators. The main purpose of this study is to cope with this output power uncertainty of renewables by considering ADLC, residential PV, and BESS at the lowest cost and with the least amount of carbon emission, while putting less burden on consumers by minimizing the IL. This paper optimizes the cost and carbon emission function of a hybrid energy system comprising PV, WG, BESS, and DG at Aguni Island, Japan, using a multi-objective optimization model. To solve the proposed problem in the presence of ADLC, the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ϵ</mi></semantics></math></inline-formula>-constraint method and MILP are utilized. After obtaining all possible solutions, the FSM selects the best possible solution among all solutions. The result shows that while case 1 has a lower energy cost than the other cases, the quantity of IL is quite significant, putting customers in a burden. In case 2 and case 3, the total energy cost is 11.23% and 10% higher than case 1, respectively, but the sum of the IL is 99% and 95.96% lower than case 1 as the ADLC is applied only for the consumers who have residential PV and BESS, which can reflect the importance of residential PV and BESS. The total cost of case 3 is 1.72% lower than case 2, but IL is higher because sometimes home PV power will be used to charge the home BESS.Homeyra AkterHarun Or Rashid HowladerAhmed Y. SaberParas MandalHiroshi TakahashiTomonobu SenjyuMDPI AGarticleadvanced direct load controlclusteringhybrid energy systemmulti-objective optimizationresidential PV and BESSTechnologyTENEnergies, Vol 14, Iss 7599, p 7599 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	advanced direct load control clustering hybrid energy system multi-objective optimization residential PV and BESS Technology T
spellingShingle	advanced direct load control clustering hybrid energy system multi-objective optimization residential PV and BESS Technology T Homeyra Akter Harun Or Rashid Howlader Ahmed Y. Saber Paras Mandal Hiroshi Takahashi Tomonobu Senjyu Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission
description	Optimal sizing of the power system can drastically reduce the total cost, which is challenging due to the fluctuation in output power of RE (primarily wind and solar) and pollution from thermal generators. The main purpose of this study is to cope with this output power uncertainty of renewables by considering ADLC, residential PV, and BESS at the lowest cost and with the least amount of carbon emission, while putting less burden on consumers by minimizing the IL. This paper optimizes the cost and carbon emission function of a hybrid energy system comprising PV, WG, BESS, and DG at Aguni Island, Japan, using a multi-objective optimization model. To solve the proposed problem in the presence of ADLC, the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ϵ</mi></semantics></math></inline-formula>-constraint method and MILP are utilized. After obtaining all possible solutions, the FSM selects the best possible solution among all solutions. The result shows that while case 1 has a lower energy cost than the other cases, the quantity of IL is quite significant, putting customers in a burden. In case 2 and case 3, the total energy cost is 11.23% and 10% higher than case 1, respectively, but the sum of the IL is 99% and 95.96% lower than case 1 as the ADLC is applied only for the consumers who have residential PV and BESS, which can reflect the importance of residential PV and BESS. The total cost of case 3 is 1.72% lower than case 2, but IL is higher because sometimes home PV power will be used to charge the home BESS.
format	article
author	Homeyra Akter Harun Or Rashid Howlader Ahmed Y. Saber Paras Mandal Hiroshi Takahashi Tomonobu Senjyu
author_facet	Homeyra Akter Harun Or Rashid Howlader Ahmed Y. Saber Paras Mandal Hiroshi Takahashi Tomonobu Senjyu
author_sort	Homeyra Akter
title	Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission
title_short	Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission
title_full	Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission
title_fullStr	Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission
title_full_unstemmed	Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission
title_sort	optimal sizing of hybrid microgrid in a remote island considering advanced direct load control for demand response and low carbon emission
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/73fd273446b043c6990d6d6326545c1d
work_keys_str_mv	AT homeyraakter optimalsizingofhybridmicrogridinaremoteislandconsideringadvanceddirectloadcontrolfordemandresponseandlowcarbonemission AT harunorrashidhowlader optimalsizingofhybridmicrogridinaremoteislandconsideringadvanceddirectloadcontrolfordemandresponseandlowcarbonemission AT ahmedysaber optimalsizingofhybridmicrogridinaremoteislandconsideringadvanceddirectloadcontrolfordemandresponseandlowcarbonemission AT parasmandal optimalsizingofhybridmicrogridinaremoteislandconsideringadvanceddirectloadcontrolfordemandresponseandlowcarbonemission AT hiroshitakahashi optimalsizingofhybridmicrogridinaremoteislandconsideringadvanceddirectloadcontrolfordemandresponseandlowcarbonemission AT tomonobusenjyu optimalsizingofhybridmicrogridinaremoteislandconsideringadvanceddirectloadcontrolfordemandresponseandlowcarbonemission
_version_	1718412356593123328

Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission

Ejemplares similares