EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply

Xinan Yang; Thanet Chitsuphaphan; Hongsheng Dai; Fanlin Meng

doi:10.3390/wevj13070122

EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply

Xinan Yang^*, Thanet Chitsuphaphan, Hongsheng Dai, Fanlin Meng

^*Corresponding author for this work

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Abstract

This study examines the potential role that an Electric Vehicle Battery (EVB) can play in Home Energy Management System (HEMS) based on a future development on the performance and costs of batteries. The value of EVB in an HEMS with different home connection settings and energy consumption/storage/generation capacities are investigated to advise the optimal future HEMS setups. Solar PV are considered as the residential renewal energy supply, which is the main resource of uncertainty of the system. A novel forecasting model is deployed which incorporates geographical information, solar radiation forecast and weather-related conditions into an exponential-based method to simulate day-ahead solar PV output. Optimal flows of energy and usage of storage (batteries) are then captured by a Stochastic Programming (SP) model and solved by CPLEX. Managerial insights and optimal designs of the HEMS are drawn based on the results obtained.

Original language	English
Article number	122
Journal	World Electric Vehicle Journal
Volume	13
Issue number	7
DOIs	https://doi.org/10.3390/wevj13070122
Publication status	Published - 4 Jul 2022

Keywords

battery
electric vehicle
EVB-to-home supply
forecasting
spatial information
stochastic programming

UN SDGs

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

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10.3390/wevj13070122

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title = "EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply",

abstract = "This study examines the potential role that an Electric Vehicle Battery (EVB) can play in Home Energy Management System (HEMS) based on a future development on the performance and costs of batteries. The value of EVB in an HEMS with different home connection settings and energy consumption/storage/generation capacities are investigated to advise the optimal future HEMS setups. Solar PV are considered as the residential renewal energy supply, which is the main resource of uncertainty of the system. A novel forecasting model is deployed which incorporates geographical information, solar radiation forecast and weather-related conditions into an exponential-based method to simulate day-ahead solar PV output. Optimal flows of energy and usage of storage (batteries) are then captured by a Stochastic Programming (SP) model and solved by CPLEX. Managerial insights and optimal designs of the HEMS are drawn based on the results obtained.",

keywords = "battery, electric vehicle, EVB-to-home supply, forecasting, spatial information, stochastic programming",

author = "Xinan Yang and Thanet Chitsuphaphan and Hongsheng Dai and Fanlin Meng",

note = "Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = jul,

day = "4",

doi = "10.3390/wevj13070122",

language = "English",

volume = "13",

journal = "World Electric Vehicle Journal",

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publisher = "European Association for Battery, Hybrid and Fuel Cell Electric Vehicles (AVERE)",

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TY - JOUR

T1 - EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply

AU - Yang, Xinan

AU - Chitsuphaphan, Thanet

AU - Dai, Hongsheng

AU - Meng, Fanlin

PY - 2022/7/4

Y1 - 2022/7/4

N2 - This study examines the potential role that an Electric Vehicle Battery (EVB) can play in Home Energy Management System (HEMS) based on a future development on the performance and costs of batteries. The value of EVB in an HEMS with different home connection settings and energy consumption/storage/generation capacities are investigated to advise the optimal future HEMS setups. Solar PV are considered as the residential renewal energy supply, which is the main resource of uncertainty of the system. A novel forecasting model is deployed which incorporates geographical information, solar radiation forecast and weather-related conditions into an exponential-based method to simulate day-ahead solar PV output. Optimal flows of energy and usage of storage (batteries) are then captured by a Stochastic Programming (SP) model and solved by CPLEX. Managerial insights and optimal designs of the HEMS are drawn based on the results obtained.

AB - This study examines the potential role that an Electric Vehicle Battery (EVB) can play in Home Energy Management System (HEMS) based on a future development on the performance and costs of batteries. The value of EVB in an HEMS with different home connection settings and energy consumption/storage/generation capacities are investigated to advise the optimal future HEMS setups. Solar PV are considered as the residential renewal energy supply, which is the main resource of uncertainty of the system. A novel forecasting model is deployed which incorporates geographical information, solar radiation forecast and weather-related conditions into an exponential-based method to simulate day-ahead solar PV output. Optimal flows of energy and usage of storage (batteries) are then captured by a Stochastic Programming (SP) model and solved by CPLEX. Managerial insights and optimal designs of the HEMS are drawn based on the results obtained.

KW - battery

KW - electric vehicle

KW - EVB-to-home supply

KW - forecasting

KW - spatial information

KW - stochastic programming

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U2 - 10.3390/wevj13070122

DO - 10.3390/wevj13070122

M3 - Article

AN - SCOPUS:85133715217

SN - 2032-6653

VL - 13

JO - World Electric Vehicle Journal

JF - World Electric Vehicle Journal

IS - 7

M1 - 122

ER -

EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply

Abstract

Keywords

UN SDGs

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