A dispatching strategy for electric vehicle aggregator combined price and incentive demand response

Abstract Electric vehicles (EVs) have excellent demand response potential, but a single type of demand response is difficult to fully utilise the dispatching potential of EVs. To improve the utilisation of the demand response potential of EVs, this study proposes two kinds of dispatching strategies...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Hui Hou, Yifan Wang, Changjun Xie, Binyu Xiong, Qingyong Zhang, Liang Huang
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	demand response electric vehicle (EV) electric vehicle aggregator (EVA) long‐term contract short‐term contract Production of electric energy or power. Powerplants. Central stations TK1001-1841 Energy industries. Energy policy. Fuel trade HD9502-9502.5
Acceso en línea:	https://doaj.org/article/5fe5fba191dc41faa5a24093068065d8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:5fe5fba191dc41faa5a24093068065d8
record_format	dspace
spelling	oai:doaj.org-article:5fe5fba191dc41faa5a24093068065d82021-11-11T13:07:33ZA dispatching strategy for electric vehicle aggregator combined price and incentive demand response2516-840110.1049/esi2.12042https://doaj.org/article/5fe5fba191dc41faa5a24093068065d82021-12-01T00:00:00Zhttps://doi.org/10.1049/esi2.12042https://doaj.org/toc/2516-8401Abstract Electric vehicles (EVs) have excellent demand response potential, but a single type of demand response is difficult to fully utilise the dispatching potential of EVs. To improve the utilisation of the demand response potential of EVs, this study proposes two kinds of dispatching strategies for electric vehicle aggregator (EVA) combined price‐based and incentive‐based demand response: long‐term contract strategy and short‐term contract strategy. The difference of the two strategies depends on the length of time for EV users to sign incentive agreements with EVA. The long‐term contract strategy assumes that some EV users sign a long‐term incentive agreement with the EVA. The short‐term contract strategy takes an EV charging process as the dispatching cycle. The objective of maximising revenues and minimising load fluctuation of EVA is optimised in two strategies. An improved multi‐objective particle swarm optimisation algorithm that combines region selection strategy and grouping strategy is used to solve the problem. The simulation results show that the two dispatching strategies can improve the comprehensive benefits of EVA as well as EV users. The two dispatching strategies can effectively improve the utilisation of dispatching potential of EVs.Hui HouYifan WangChangjun XieBinyu XiongQingyong ZhangLiang HuangWileyarticledemand responseelectric vehicle (EV)electric vehicle aggregator (EVA)long‐term contractshort‐term contractProduction of electric energy or power. Powerplants. Central stationsTK1001-1841Energy industries. Energy policy. Fuel tradeHD9502-9502.5ENIET Energy Systems Integration, Vol 3, Iss 4, Pp 508-519 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	demand response electric vehicle (EV) electric vehicle aggregator (EVA) long‐term contract short‐term contract Production of electric energy or power. Powerplants. Central stations TK1001-1841 Energy industries. Energy policy. Fuel trade HD9502-9502.5
spellingShingle	demand response electric vehicle (EV) electric vehicle aggregator (EVA) long‐term contract short‐term contract Production of electric energy or power. Powerplants. Central stations TK1001-1841 Energy industries. Energy policy. Fuel trade HD9502-9502.5 Hui Hou Yifan Wang Changjun Xie Binyu Xiong Qingyong Zhang Liang Huang A dispatching strategy for electric vehicle aggregator combined price and incentive demand response
description	Abstract Electric vehicles (EVs) have excellent demand response potential, but a single type of demand response is difficult to fully utilise the dispatching potential of EVs. To improve the utilisation of the demand response potential of EVs, this study proposes two kinds of dispatching strategies for electric vehicle aggregator (EVA) combined price‐based and incentive‐based demand response: long‐term contract strategy and short‐term contract strategy. The difference of the two strategies depends on the length of time for EV users to sign incentive agreements with EVA. The long‐term contract strategy assumes that some EV users sign a long‐term incentive agreement with the EVA. The short‐term contract strategy takes an EV charging process as the dispatching cycle. The objective of maximising revenues and minimising load fluctuation of EVA is optimised in two strategies. An improved multi‐objective particle swarm optimisation algorithm that combines region selection strategy and grouping strategy is used to solve the problem. The simulation results show that the two dispatching strategies can improve the comprehensive benefits of EVA as well as EV users. The two dispatching strategies can effectively improve the utilisation of dispatching potential of EVs.
format	article
author	Hui Hou Yifan Wang Changjun Xie Binyu Xiong Qingyong Zhang Liang Huang
author_facet	Hui Hou Yifan Wang Changjun Xie Binyu Xiong Qingyong Zhang Liang Huang
author_sort	Hui Hou
title	A dispatching strategy for electric vehicle aggregator combined price and incentive demand response
title_short	A dispatching strategy for electric vehicle aggregator combined price and incentive demand response
title_full	A dispatching strategy for electric vehicle aggregator combined price and incentive demand response
title_fullStr	A dispatching strategy for electric vehicle aggregator combined price and incentive demand response
title_full_unstemmed	A dispatching strategy for electric vehicle aggregator combined price and incentive demand response
title_sort	dispatching strategy for electric vehicle aggregator combined price and incentive demand response
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/5fe5fba191dc41faa5a24093068065d8
work_keys_str_mv	AT huihou adispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse AT yifanwang adispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse AT changjunxie adispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse AT binyuxiong adispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse AT qingyongzhang adispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse AT lianghuang adispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse AT huihou dispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse AT yifanwang dispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse AT changjunxie dispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse AT binyuxiong dispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse AT qingyongzhang dispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse AT lianghuang dispatchingstrategyforelectricvehicleaggregatorcombinedpriceandincentivedemandresponse
_version_	1718439040426967040

A dispatching strategy for electric vehicle aggregator combined price and incentive demand response

Ejemplares similares