Strategic interaction to reduce customer fatigue in load aggregation

In demand response programs, the load aggregator would send requests to customers to confirm whether they are willing to participate in the demand response events later, making sure that there is sufficient capacity to meet the load adjustment requirement of the power grid in real-time. However, sen...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xinyi Chen, Xiaochun Xu, Xin Dai, Qinran Hu, Xiangjun Quan, Shengzhe Yang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Customer fatigue Load aggregation Online learning Fatigue-aware MAB Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/fe51cb833b484d31a4abf251e4fbda79
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:fe51cb833b484d31a4abf251e4fbda79
record_format	dspace
spelling	oai:doaj.org-article:fe51cb833b484d31a4abf251e4fbda792021-11-26T04:33:01ZStrategic interaction to reduce customer fatigue in load aggregation2352-484710.1016/j.egyr.2021.08.039https://doaj.org/article/fe51cb833b484d31a4abf251e4fbda792021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721006417https://doaj.org/toc/2352-4847In demand response programs, the load aggregator would send requests to customers to confirm whether they are willing to participate in the demand response events later, making sure that there is sufficient capacity to meet the load adjustment requirement of the power grid in real-time. However, sending requests frequently to the customers would lead to customer fatigue effect, which dampens customers’ enthusiasm for demand response. Motivated by this dilemma, an optimization problem of scheduling customers considering fatigue based on the MAB framework is proposed, and the online learning and ranking method: fatigue-aware MAB is presented to solve it. Finally, the numerical simulation demonstrates that the proposed method outperforms the traditional method under different parameter settings. Detailed analysis of how those settings affect the performance of our proposed method is also provided.Xinyi ChenXiaochun XuXin DaiQinran HuXiangjun QuanShengzhe YangElsevierarticleCustomer fatigueLoad aggregationOnline learningFatigue-aware MABElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 339-348 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Customer fatigue Load aggregation Online learning Fatigue-aware MAB Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Customer fatigue Load aggregation Online learning Fatigue-aware MAB Electrical engineering. Electronics. Nuclear engineering TK1-9971 Xinyi Chen Xiaochun Xu Xin Dai Qinran Hu Xiangjun Quan Shengzhe Yang Strategic interaction to reduce customer fatigue in load aggregation
description	In demand response programs, the load aggregator would send requests to customers to confirm whether they are willing to participate in the demand response events later, making sure that there is sufficient capacity to meet the load adjustment requirement of the power grid in real-time. However, sending requests frequently to the customers would lead to customer fatigue effect, which dampens customers’ enthusiasm for demand response. Motivated by this dilemma, an optimization problem of scheduling customers considering fatigue based on the MAB framework is proposed, and the online learning and ranking method: fatigue-aware MAB is presented to solve it. Finally, the numerical simulation demonstrates that the proposed method outperforms the traditional method under different parameter settings. Detailed analysis of how those settings affect the performance of our proposed method is also provided.
format	article
author	Xinyi Chen Xiaochun Xu Xin Dai Qinran Hu Xiangjun Quan Shengzhe Yang
author_facet	Xinyi Chen Xiaochun Xu Xin Dai Qinran Hu Xiangjun Quan Shengzhe Yang
author_sort	Xinyi Chen
title	Strategic interaction to reduce customer fatigue in load aggregation
title_short	Strategic interaction to reduce customer fatigue in load aggregation
title_full	Strategic interaction to reduce customer fatigue in load aggregation
title_fullStr	Strategic interaction to reduce customer fatigue in load aggregation
title_full_unstemmed	Strategic interaction to reduce customer fatigue in load aggregation
title_sort	strategic interaction to reduce customer fatigue in load aggregation
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/fe51cb833b484d31a4abf251e4fbda79
work_keys_str_mv	AT xinyichen strategicinteractiontoreducecustomerfatigueinloadaggregation AT xiaochunxu strategicinteractiontoreducecustomerfatigueinloadaggregation AT xindai strategicinteractiontoreducecustomerfatigueinloadaggregation AT qinranhu strategicinteractiontoreducecustomerfatigueinloadaggregation AT xiangjunquan strategicinteractiontoreducecustomerfatigueinloadaggregation AT shengzheyang strategicinteractiontoreducecustomerfatigueinloadaggregation
_version_	1718409879225368576

Strategic interaction to reduce customer fatigue in load aggregation

Ejemplares similares