Techno-economic potential of battery energy storage systems in frequency response and balancing mechanism actions
| Autor: | Desen Kirli, Aristides Kiprakis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
optimisation
smart power grids profitability battery storage plants scheduling pricing energy storage particle swarm optimisation power generation economics secondary cells grid infrastructures optimum scenario service participation dynamic degradation optimal despatch schedule price declarations particle swarm optimisation algorithm ordinarily frequency response lower technical toll highest profit sophisticated battery models dynamic lifetime degradation economic analysis techno-economic potential battery energy storage systems balancing mechanism actions regulation services smart grid flexibility dynamic modelling rigorous optimisation technical cost economic benefit battery employment dynamic frequency national grid Engineering (General). Civil engineering (General) TA1-2040 |
| Zdroj: | The Journal of Engineering (2020) |
| Druh dokumentu: | article |
| ISSN: | 2051-3305 |
| DOI: | 10.1049/joe.2019.1053 |
| Popis: | Batteries offer a combination of balancing and regulation services within a smart grid to improve its resilience and flexibility. Maintaining an acceptable state of health and the highest rate of return requires dynamic modelling of the asset and rigorous optimisation. The authors compare the technical cost and economic benefit of battery employment in dynamic frequency and balancing mechanism actions in a smart grid. They use the services procured by National Grid in the UK as a case study but the methodology is globally applicable, including developing grid infrastructures. Their methodology yields the most optimum scenario of service participation, accounting for the dynamic degradation and considering variable pricing of electricity throughout the day. Additionally, it advises the most optimal despatch schedule and price declarations for the battery over the course a day and a year, employing particle swarm optimisation algorithm and historic data. Their results demonstrate that ordinarily frequency response is preferred due to its lower technical toll and payments for availability rather than despatch. However, the proposed despatch schedule including both services provides the highest profit. They anticipate this methodology to become the basis for more sophisticated battery models that integrate the service despatch optimisation, dynamic lifetime degradation and economic analysis. |
| Databáze: | Directory of Open Access Journals |
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