A fully robust home energy management model considering real time price and on-board vehicle batteries
On-board batteries from electric vehicles can be used in domestic installations as an auxiliary source of energy through their vehicle-to-home features. To properly manage this kind of assets, Home Energy Management systems are expected to be essential tools in future smart grids, enabling a more ef...
| Authors: | ; ; ; ; ; |
|---|---|
| Format: | Article |
| Status: | Accepted version |
| Publication date: | 2023 |
| Country: | España |
| Institution: | Universidad de Jaén |
| Repository: | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| OAI Identifier: | oai:ruja.ujaen.es:10953/3485 |
| Online Access: | https://www.sciencedirect.com/science/article/pii/S2352152X2301928X https://hdl.handle.net/10953/3485 |
| Access Level: | Open access |
| Keyword: | Battery energy storage Electric vehicle Home energy management Robust optimization Uncertainty |
| _version_ | 1878741660368633856 |
|---|---|
| author | Tostado-Véliz, Marcos |
| author2 | Hasanien, Hany M. Turky, Rania A. Jordehi, Ahmad Rezaee Mansouri, Seyed Amir Jurado, Francisco |
| author2_role | author author author author author |
| author_browse | Hasanien, Hany M. Jordehi, Ahmad Rezaee Jurado, Francisco Mansouri, Seyed Amir Tostado-Véliz, Marcos Turky, Rania A. |
| author_facet | Tostado-Véliz, Marcos Hasanien, Hany M. Turky, Rania A. Jordehi, Ahmad Rezaee Mansouri, Seyed Amir Jurado, Francisco |
| author_role | author |
| collection | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| description | On-board batteries from electric vehicles can be used in domestic installations as an auxiliary source of energy through their vehicle-to-home features. To properly manage this kind of assets, Home Energy Management systems are expected to be essential tools in future smart grids, enabling a more efficient use of energy in residential applications. However, these tools normally perform under severe uncertain environments caused by intermittent renewable generation, uncertain prices, uncertain demand as well as uncertain behaviour of electric vehicles. In this regard, further research should be conducted in order to develop advanced robust energy management tools that account for the effect of uncertainties. So far, most of the existing literature focused on simple stochastic approaches, that may pose various issues, while other more sophisticated uncertainty models have not been sufficiently studied. In this regard, this paper proposes a fully robust Home Energy Management model, which accounts for all the inherent uncertainties that may arise in domestic installations. In contrast to previous researches, robust optimization is applied to all the uncertainties, resulting in a tractable, but robust yet paradigm model which allows to adapt the degree of robustness. A case study is conducted on a benchmark prosumer paradigm to validate the new proposal as well as highlight the benefits of flexible appliances. Results reveal the usefulness of the new tool, which allows to handle very unfavourable uncertain profiles, especially in case of the electric vehicles, for which a very low initial state-of-charge and early departure time can be assumed, leading to more conservative results that suppose incrementing the electricity bill by 38 %. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_e9236d7ddd126ec2f2fa9c8a83373f89 |
| institution | Universidad de Jaén |
| instname_str | Universidad de Jaén |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:ruja.ujaen.es:10953/3485 |
| publishDate | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| reponame_str | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| spelling | A fully robust home energy management model considering real time price and on-board vehicle batteries Tostado-Véliz, Marcos Hasanien, Hany M. Turky, Rania A. Jordehi, Ahmad Rezaee Mansouri, Seyed Amir Jurado, Francisco Battery energy storage Electric vehicle Home energy management Robust optimization Uncertainty On-board batteries from electric vehicles can be used in domestic installations as an auxiliary source of energy through their vehicle-to-home features. To properly manage this kind of assets, Home Energy Management systems are expected to be essential tools in future smart grids, enabling a more efficient use of energy in residential applications. However, these tools normally perform under severe uncertain environments caused by intermittent renewable generation, uncertain prices, uncertain demand as well as uncertain behaviour of electric vehicles. In this regard, further research should be conducted in order to develop advanced robust energy management tools that account for the effect of uncertainties. So far, most of the existing literature focused on simple stochastic approaches, that may pose various issues, while other more sophisticated uncertainty models have not been sufficiently studied. In this regard, this paper proposes a fully robust Home Energy Management model, which accounts for all the inherent uncertainties that may arise in domestic installations. In contrast to previous researches, robust optimization is applied to all the uncertainties, resulting in a tractable, but robust yet paradigm model which allows to adapt the degree of robustness. A case study is conducted on a benchmark prosumer paradigm to validate the new proposal as well as highlight the benefits of flexible appliances. Results reveal the usefulness of the new tool, which allows to handle very unfavourable uncertain profiles, especially in case of the electric vehicles, for which a very low initial state-of-charge and early departure time can be assumed, leading to more conservative results that suppose incrementing the electricity bill by 38 %. Elsevier https://www.sciencedirect.com/science/article/pii/S2352152X2301928X https://hdl.handle.net/10953/3485 |
| spellingShingle | A fully robust home energy management model considering real time price and on-board vehicle batteries Tostado-Véliz, Marcos Battery energy storage Electric vehicle Home energy management Robust optimization Uncertainty |
| status_str | acceptedVersion |
| title | A fully robust home energy management model considering real time price and on-board vehicle batteries |
| title_full | A fully robust home energy management model considering real time price and on-board vehicle batteries |
| title_fullStr | A fully robust home energy management model considering real time price and on-board vehicle batteries |
| title_full_unstemmed | A fully robust home energy management model considering real time price and on-board vehicle batteries |
| title_short | A fully robust home energy management model considering real time price and on-board vehicle batteries |
| title_sort | A fully robust home energy management model considering real time price and on-board vehicle batteries |
| topic | Battery energy storage Electric vehicle Home energy management Robust optimization Uncertainty |
| topic_facet | Battery energy storage Electric vehicle Home energy management Robust optimization Uncertainty |
| url | https://www.sciencedirect.com/science/article/pii/S2352152X2301928X https://hdl.handle.net/10953/3485 |