Control system of battery energy storage technology : case Green Campus
Nigmatulina, Nelli (2018)
Diplomityö
2018
School of Energy Systems, Sähkötekniikka
Kaikki oikeudet pidätetään.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2018121150502
https://urn.fi/URN:NBN:fi-fe2018121150502
Tiivistelmä
The application of renewable energy sources is hindered by their intermittent production behaviour and discrepancy of production hours with periods of high energy demand. One of the solutions is the storing of produced energy to the Battery Energy Storage System (BESS). Afterwards, the present technology ensures the stable supply of energy to the grid and can be used by either Transmission System Operator (TSO) or Distribution System Opertator (DSO) for their purposes
The present Master’s thesis introduces the simulation tool allowing to exam artificial multifunctional operation of the battery energy storage system (BESS) in combination with an energy source. The tool was created by use of Python. The conducted test researched work of BESS on the day-ahead and hourly markets and frequency stabilization in the grid. The priority tasks for the system were work on Elspot market and on the market of ancillary services. The working schedule was based on an analysis of peak hours in 2016 on Elspot and Frequency Containment Reserve (FCR) markets. The program did not take into account the battery degradation. In the end, the validation of obtained results with a real setup was conducted
The simulation tool demonstrated the ability of BESS to implement multifunctional work. The chosen SOC range was sufficient to perform tasks on the priority markets during the day. The battery was charging either from the solar power plants or Elbas market.
The present Master’s thesis introduces the simulation tool allowing to exam artificial multifunctional operation of the battery energy storage system (BESS) in combination with an energy source. The tool was created by use of Python. The conducted test researched work of BESS on the day-ahead and hourly markets and frequency stabilization in the grid. The priority tasks for the system were work on Elspot market and on the market of ancillary services. The working schedule was based on an analysis of peak hours in 2016 on Elspot and Frequency Containment Reserve (FCR) markets. The program did not take into account the battery degradation. In the end, the validation of obtained results with a real setup was conducted
The simulation tool demonstrated the ability of BESS to implement multifunctional work. The chosen SOC range was sufficient to perform tasks on the priority markets during the day. The battery was charging either from the solar power plants or Elbas market.