Stochastic Residential Energy Management System with Vehicle-to-Home and Photovoltaic Penetration

Shu Wang; Zhao Yang Dong; Fengji Luo; Gianluca Ranzi; Yichen Qiao

doi:10.1109/PESGM.2018.8586226

Stochastic Residential Energy Management System with Vehicle-to-Home and Photovoltaic Penetration

Shu Wang
, Zhao Yang Dong
, Fengji Luo
, Gianluca Ranzi
, Yichen Qiao

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

This paper proposes a residential energy resource (RER) management system based on stochastic programming technique. The proposed system aims to minimize the home electricity cost while fully considering the user's life convenience and solar photovoltaic uncertainty. The system optimally schedules plug-in electric vehicle and household shiftable appliances (SAs) in the presence of roof solar photovoltaic. Wasserstein distance metric and K-medoids based scenario generation reduction techniques are used to tackle the renewable uncertainty. A waiting cost model is applied to measure the user's preference on the household appliance operation. Simulation studies are conducted to validate the proposed method. © 2018 IEEE.

Original language	English
Title of host publication	2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Publisher	IEEE Computer Society
Volume	2018-August
ISBN (Print)	9781538677032
DOIs	https://doi.org/10.1109/PESGM.2018.8586226
Publication status	Published - 21 Dec 2018
Externally published	Yes
Event	2018 IEEE Power and Energy Society General Meeting, PESGM 2018 - Portland, United States Duration: 5 Aug 2018 → 10 Aug 2018

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2018-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Place	United States
City	Portland
Period	5/08/18 → 10/08/18

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

Demand response
Demand side management
Home automation
Home energy management system

Access Output

10.1109/PESGM.2018.8586226

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Wang, S., Dong, Z. Y., Luo, F., Ranzi, G., & Qiao, Y. (2018). Stochastic Residential Energy Management System with Vehicle-to-Home and Photovoltaic Penetration. In 2018 IEEE Power and Energy Society General Meeting, PESGM 2018 (Vol. 2018-August). Article 8586226 (IEEE Power and Energy Society General Meeting; Vol. 2018-August). IEEE Computer Society. https://doi.org/10.1109/PESGM.2018.8586226

@inproceedings{9e797105c41d4e39ac2bd3c7d4fd280a,

title = "Stochastic Residential Energy Management System with Vehicle-to-Home and Photovoltaic Penetration",

abstract = "This paper proposes a residential energy resource (RER) management system based on stochastic programming technique. The proposed system aims to minimize the home electricity cost while fully considering the user's life convenience and solar photovoltaic uncertainty. The system optimally schedules plug-in electric vehicle and household shiftable appliances (SAs) in the presence of roof solar photovoltaic. Wasserstein distance metric and K-medoids based scenario generation reduction techniques are used to tackle the renewable uncertainty. A waiting cost model is applied to measure the user's preference on the household appliance operation. Simulation studies are conducted to validate the proposed method. {\textcopyright} 2018 IEEE.",

keywords = "Demand response, Demand side management, Home automation, Home energy management system",

author = "Shu Wang and Dong, \{Zhao Yang\} and Fengji Luo and Gianluca Ranzi and Yichen Qiao",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 2018 IEEE Power and Energy Society General Meeting, PESGM 2018 ; Conference date: 05-08-2018 Through 10-08-2018",

year = "2018",

month = dec,

day = "21",

doi = "10.1109/PESGM.2018.8586226",

language = "English",

isbn = "9781538677032",

volume = "2018-August",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2018 IEEE Power and Energy Society General Meeting, PESGM 2018",

address = "United States",

}

Wang, S, Dong, ZY, Luo, F, Ranzi, G & Qiao, Y 2018, Stochastic Residential Energy Management System with Vehicle-to-Home and Photovoltaic Penetration. in 2018 IEEE Power and Energy Society General Meeting, PESGM 2018. vol. 2018-August, 8586226, IEEE Power and Energy Society General Meeting, vol. 2018-August, IEEE Computer Society, 2018 IEEE Power and Energy Society General Meeting, PESGM 2018, Portland, United States, 5/08/18. https://doi.org/10.1109/PESGM.2018.8586226

Stochastic Residential Energy Management System with Vehicle-to-Home and Photovoltaic Penetration. / Wang, Shu; Dong, Zhao Yang; Luo, Fengji et al.
2018 IEEE Power and Energy Society General Meeting, PESGM 2018. Vol. 2018-August IEEE Computer Society, 2018. 8586226 (IEEE Power and Energy Society General Meeting; Vol. 2018-August).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Stochastic Residential Energy Management System with Vehicle-to-Home and Photovoltaic Penetration

AU - Wang, Shu

AU - Dong, Zhao Yang

AU - Luo, Fengji

AU - Ranzi, Gianluca

AU - Qiao, Yichen

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2018/12/21

Y1 - 2018/12/21

N2 - This paper proposes a residential energy resource (RER) management system based on stochastic programming technique. The proposed system aims to minimize the home electricity cost while fully considering the user's life convenience and solar photovoltaic uncertainty. The system optimally schedules plug-in electric vehicle and household shiftable appliances (SAs) in the presence of roof solar photovoltaic. Wasserstein distance metric and K-medoids based scenario generation reduction techniques are used to tackle the renewable uncertainty. A waiting cost model is applied to measure the user's preference on the household appliance operation. Simulation studies are conducted to validate the proposed method. © 2018 IEEE.

AB - This paper proposes a residential energy resource (RER) management system based on stochastic programming technique. The proposed system aims to minimize the home electricity cost while fully considering the user's life convenience and solar photovoltaic uncertainty. The system optimally schedules plug-in electric vehicle and household shiftable appliances (SAs) in the presence of roof solar photovoltaic. Wasserstein distance metric and K-medoids based scenario generation reduction techniques are used to tackle the renewable uncertainty. A waiting cost model is applied to measure the user's preference on the household appliance operation. Simulation studies are conducted to validate the proposed method. © 2018 IEEE.

KW - Demand response

KW - Demand side management

KW - Home automation

KW - Home energy management system

UR - https://www.scopus.com/pages/publications/85060804309

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85060804309&origin=recordpage

U2 - 10.1109/PESGM.2018.8586226

DO - 10.1109/PESGM.2018.8586226

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781538677032

VL - 2018-August

T3 - IEEE Power and Energy Society General Meeting

BT - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018

PB - IEEE Computer Society

T2 - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018

Y2 - 5 August 2018 through 10 August 2018

ER -

Stochastic Residential Energy Management System with Vehicle-to-Home and Photovoltaic Penetration

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Research Keywords

Access Output

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