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Electrical energy storage systems and electric vehicles for provision of fast frequency response
The last years have seen a swift increase in the proportion of connected renewable energy sources (RESs) in modern power systems to lessen unsafe levels of CO2 in the atmosphere and cut fossil fuels dependence. Despite the environmental gains of a decarbonised power system, a higher proportion of RE...
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| Format: | Default Thesis |
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2021
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| Online Access: | https://dx.doi.org/10.26174/thesis.lboro.14737575.v1 |
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| _version_ | 1818166503713800192 |
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| author | Francisco Sanchez |
| author_facet | Francisco Sanchez |
| author_sort | Francisco Sanchez (4235350) |
| collection | Figshare |
| description | The last years have seen a swift increase in the proportion of connected renewable energy sources (RESs) in modern power systems to lessen unsafe levels of CO2 in the atmosphere and cut fossil fuels dependence. Despite the environmental gains of a decarbonised power system, a higher proportion of RESs could affect the grid's safe operation in at least two ways, i.e.reduce the amount of rotational inertia and increase the uncertainty of the energy balance. As RESs typically lack storage capabilities and are connected to the grid through power electronic converters (PECs), they are decoupled from the mass of synchronously rotating generators that provide inertia and counteract frequency changes, leading to quicker frequency dynamics. Furthermore, the intermittent nature of wind and solar PV makes energy balance requirements less predictable. [Continues.] |
| format | Default Thesis |
| id | rr-article-14737575 |
| institution | Loughborough University |
| publishDate | 2021 |
| record_format | Figshare |
| spelling | rr-article-147375752021-07-29T09:48:46Z Electrical energy storage systems and electric vehicles for provision of fast frequency response Francisco Sanchez (4235350) Mechanical engineering not elsewhere classified power system dynamics Electric vehicles (EV), optimisation technique Reinforcement Learning Mechanical Engineering not elsewhere classified The last years have seen a swift increase in the proportion of connected renewable energy sources (RESs) in modern power systems to lessen unsafe levels of CO2 in the atmosphere and cut fossil fuels dependence. Despite the environmental gains of a decarbonised power system, a higher proportion of RESs could affect the grid's safe operation in at least two ways, i.e.reduce the amount of rotational inertia and increase the uncertainty of the energy balance. As RESs typically lack storage capabilities and are connected to the grid through power electronic converters (PECs), they are decoupled from the mass of synchronously rotating generators that provide inertia and counteract frequency changes, leading to quicker frequency dynamics. Furthermore, the intermittent nature of wind and solar PV makes energy balance requirements less predictable. [Continues.] 2021-07-29T09:48:46Z Text Thesis 10.26174/thesis.lboro.14737575.v1 https://figshare.com/articles/thesis/Electrical_energy_storage_systems_and_electric_vehicles_for_provision_of_fast_frequency_response/14737575 CC BY-NC-ND 4.0 |
| spellingShingle | Mechanical engineering not elsewhere classified power system dynamics Electric vehicles (EV), optimisation technique Reinforcement Learning Mechanical Engineering not elsewhere classified Francisco Sanchez Electrical energy storage systems and electric vehicles for provision of fast frequency response |
| title | Electrical energy storage systems and electric vehicles for provision of fast frequency response |
| title_full | Electrical energy storage systems and electric vehicles for provision of fast frequency response |
| title_fullStr | Electrical energy storage systems and electric vehicles for provision of fast frequency response |
| title_full_unstemmed | Electrical energy storage systems and electric vehicles for provision of fast frequency response |
| title_short | Electrical energy storage systems and electric vehicles for provision of fast frequency response |
| title_sort | electrical energy storage systems and electric vehicles for provision of fast frequency response |
| topic | Mechanical engineering not elsewhere classified power system dynamics Electric vehicles (EV), optimisation technique Reinforcement Learning Mechanical Engineering not elsewhere classified |
| url | https://dx.doi.org/10.26174/thesis.lboro.14737575.v1 |