Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants
The unpredictable nature of renewable energies is drawing attention to lithium-ion batteries. In order to make full utilization of these batteries, some research works are focused on the management of existing systems, while others propose sizing techniques based on business models. However, in orde...
| Authors: | ; ; ; ; |
|---|---|
| Format: | Article |
| Status: | Accepted version |
| Publication date: | 2018 |
| Country: | España |
| Institution: | Universidad Pública de Navarra |
| Repository: | Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
| OAI Identifier: | oai:academica-e.unavarra.es:2454/33235 |
| Online Access: | https://hdl.handle.net/2454/33235 |
| Access Level: | Open access |
| Keyword: | Energy storage system Lithium-ion battery Optimal energy dispatch scheduling Dynamic programming method Energy arbitrage Renewable energy |
| _version_ | 1878742908274737152 |
|---|---|
| author | Berrueta Irigoyen, Alberto |
| author2 | Heck, Michael Jantsch, Martin Ursúa Rubio, Alfredo Sanchis Gúrpide, Pablo |
| author2_role | author author author author |
| author_browse | Berrueta Irigoyen, Alberto Heck, Michael Jantsch, Martin Sanchis Gúrpide, Pablo Ursúa Rubio, Alfredo |
| author_facet | Berrueta Irigoyen, Alberto Heck, Michael Jantsch, Martin Ursúa Rubio, Alfredo Sanchis Gúrpide, Pablo |
| author_role | author |
| collection | Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
| description | The unpredictable nature of renewable energies is drawing attention to lithium-ion batteries. In order to make full utilization of these batteries, some research works are focused on the management of existing systems, while others propose sizing techniques based on business models. However, in order to optimise the global system, a comprehensive methodology that considers both battery sizing and management at the same time is needed. This paper proposes a new optimisation algorithm based on a combination of dynamic programming and a region elimination technique that makes it possible to address both problems at the same time. This is of great interest, since the optimal size of the storage system depends on the management strategy and, in turn, the design of this strategy needs to take account of the battery size. The method is applied to a real installation consisting of a 100 kWp rooftop photovoltaic plant and a Li-ion battery system connected to a grid with variable electricity price. Results show that, unlike conventional optimisation methods, the proposed algorithm reaches an optimised energy dispatch plan that leads to a higher net present value. Finally, the tool is used to provide a sensitivity analysis that identifies key informative variables for decision makers |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_fe757745e34f9a0cd72761ba001ca7c7 |
| institution | Universidad Pública de Navarra |
| instname_str | Universidad Pública de Navarra |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:academica-e.unavarra.es:2454/33235 |
| publishDate | 2018 |
| publishDateSort | 2018 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| reponame_str | Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
| spelling | Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants Berrueta Irigoyen, Alberto Heck, Michael Jantsch, Martin Ursúa Rubio, Alfredo Sanchis Gúrpide, Pablo Energy storage system Lithium-ion battery Optimal energy dispatch scheduling Dynamic programming method Energy arbitrage Renewable energy The unpredictable nature of renewable energies is drawing attention to lithium-ion batteries. In order to make full utilization of these batteries, some research works are focused on the management of existing systems, while others propose sizing techniques based on business models. However, in order to optimise the global system, a comprehensive methodology that considers both battery sizing and management at the same time is needed. This paper proposes a new optimisation algorithm based on a combination of dynamic programming and a region elimination technique that makes it possible to address both problems at the same time. This is of great interest, since the optimal size of the storage system depends on the management strategy and, in turn, the design of this strategy needs to take account of the battery size. The method is applied to a real installation consisting of a 100 kWp rooftop photovoltaic plant and a Li-ion battery system connected to a grid with variable electricity price. Results show that, unlike conventional optimisation methods, the proposed algorithm reaches an optimised energy dispatch plan that leads to a higher net present value. Finally, the tool is used to provide a sensitivity analysis that identifies key informative variables for decision makers The authors would like to acknowledge the support of the Spanish State Research Agency and FEDER-UE under grants DPI2016-80641-R and DPI2016-80642-R; of Government of Navarra through research project PI038 INTEGRA-RENOVABLES; and the FPU Program of the Spanish Ministry of Education, Culture and Sport (FPU13/00542). Elsevier https://hdl.handle.net/2454/33235 |
| spellingShingle | Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants Berrueta Irigoyen, Alberto Energy storage system Lithium-ion battery Optimal energy dispatch scheduling Dynamic programming method Energy arbitrage Renewable energy |
| status_str | acceptedVersion |
| title | Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants |
| title_full | Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants |
| title_fullStr | Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants |
| title_full_unstemmed | Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants |
| title_short | Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants |
| title_sort | Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants |
| topic | Energy storage system Lithium-ion battery Optimal energy dispatch scheduling Dynamic programming method Energy arbitrage Renewable energy |
| topic_facet | Energy storage system Lithium-ion battery Optimal energy dispatch scheduling Dynamic programming method Energy arbitrage Renewable energy |
| url | https://hdl.handle.net/2454/33235 |