Optimization between the PV and the Retired EV Battery for the Residential Microgrid Application

Shuchun Li; Hongwen He; Yong Chen; Min Huang; Chunhua Hu

doi:10.1016/j.egypro.2015.07.537

Optimization between the PV and the Retired EV Battery for the Residential Microgrid Application

Shuchun Li, Hongwen He, Yong Chen, Min Huang, Chunhua Hu

School of Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

20 Citations (Scopus)

Abstract

This paper presents a study on the the retired EV(electrical vehicle) battery in residential microgrid. Firstly, an optimal control theory based algorithm is proposed to determine the optimal application of the battery pack for a residential house equipped with a roof-top PV system. This first goal of this algorithm is to minimize yearly operation cost of this battery-PV system. The second goal of this algorithm is to optimize the size of the PV-pannel in the system.The household load is modeled using probabilistic method in the Energy Management Strategy(EMS) to extend its applicable range.

Original language	English
Pages (from-to)	1138-1146
Number of pages	9
Journal	Energy Procedia
Volume	75
DOIs	https://doi.org/10.1016/j.egypro.2015.07.537
Publication status	Published - 2015
Event	7th International Conference on Applied Energy, ICAE 2015 - Abu Dhabi, United Arab Emirates Duration: 28 Mar 2015 → 31 Mar 2015

Keywords

EV
Microgrid
Optimization
PV(photovoltaic)
the Retired EV Battery

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.egypro.2015.07.537

Cite this

@article{b7308bfe5b864cec8339414f5c210196,

title = "Optimization between the PV and the Retired EV Battery for the Residential Microgrid Application",

abstract = "This paper presents a study on the the retired EV(electrical vehicle) battery in residential microgrid. Firstly, an optimal control theory based algorithm is proposed to determine the optimal application of the battery pack for a residential house equipped with a roof-top PV system. This first goal of this algorithm is to minimize yearly operation cost of this battery-PV system. The second goal of this algorithm is to optimize the size of the PV-pannel in the system.The household load is modeled using probabilistic method in the Energy Management Strategy(EMS) to extend its applicable range.",

keywords = "EV, Microgrid, Optimization, PV(photovoltaic), the Retired EV Battery",

author = "Shuchun Li and Hongwen He and Yong Chen and Min Huang and Chunhua Hu",

note = "Publisher Copyright: {\textcopyright} 2015 The Authors. Published by Elsevier Ltd.; 7th International Conference on Applied Energy, ICAE 2015 ; Conference date: 28-03-2015 Through 31-03-2015",

year = "2015",

doi = "10.1016/j.egypro.2015.07.537",

language = "English",

volume = "75",

pages = "1138--1146",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd.",

}

TY - JOUR

T1 - Optimization between the PV and the Retired EV Battery for the Residential Microgrid Application

AU - Li, Shuchun

AU - He, Hongwen

AU - Chen, Yong

AU - Huang, Min

AU - Hu, Chunhua

PY - 2015

Y1 - 2015

N2 - This paper presents a study on the the retired EV(electrical vehicle) battery in residential microgrid. Firstly, an optimal control theory based algorithm is proposed to determine the optimal application of the battery pack for a residential house equipped with a roof-top PV system. This first goal of this algorithm is to minimize yearly operation cost of this battery-PV system. The second goal of this algorithm is to optimize the size of the PV-pannel in the system.The household load is modeled using probabilistic method in the Energy Management Strategy(EMS) to extend its applicable range.

AB - This paper presents a study on the the retired EV(electrical vehicle) battery in residential microgrid. Firstly, an optimal control theory based algorithm is proposed to determine the optimal application of the battery pack for a residential house equipped with a roof-top PV system. This first goal of this algorithm is to minimize yearly operation cost of this battery-PV system. The second goal of this algorithm is to optimize the size of the PV-pannel in the system.The household load is modeled using probabilistic method in the Energy Management Strategy(EMS) to extend its applicable range.

KW - EV

KW - Microgrid

KW - Optimization

KW - PV(photovoltaic)

KW - the Retired EV Battery

UR - http://www.scopus.com/inward/record.url?scp=84947066627&partnerID=8YFLogxK

U2 - 10.1016/j.egypro.2015.07.537

DO - 10.1016/j.egypro.2015.07.537

M3 - Conference article

AN - SCOPUS:84947066627

SN - 1876-6102

VL - 75

SP - 1138

EP - 1146

JO - Energy Procedia

JF - Energy Procedia

T2 - 7th International Conference on Applied Energy, ICAE 2015

Y2 - 28 March 2015 through 31 March 2015

ER -

Optimization between the PV and the Retired EV Battery for the Residential Microgrid Application

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this