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

Yang, Xinan and Chitsuphaphan, Thanet and Dai, Hongsheng and Meng, Fanlin (2022) 'EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply.' World Electric Vehicle Journal, 13 (7). p. 122. ISSN 2032-6653

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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.

Item Type: Article
Uncontrolled Keywords: stochastic programming; forecasting; spatial information; battery; electric vehicle; EVB-to-home supply
Divisions: Faculty of Science and Health
Faculty of Science and Health > Mathematical Sciences, Department of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 02 Sep 2022 16:43
Last Modified: 23 Sep 2022 19:54
URI: http://repository.essex.ac.uk/id/eprint/33108

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