Abstract
This paper proposes a methodology for assessment to measure the impact of the inertial frequency response provided by battery energy storage systems (BESS) considering power system uncertainties. The proposed methodology is used to assess the impact of the BESS equipped with sensible frequency controller on the frequency behaviour of the system after a system frequency disturbance considering the variability coming from power system uncertainties. The proposed meteorology is tested in an illustrative power system considering the integration of a grid-scale BESS equipped with inertial frequency response controller, the uncertainty of the power system is simulated by the variability of the power demand. Monte Carlo simulations and time-domain simulations, using DIgSILENT® PowerFactory™ are combined in the implementation of the proposed methodology. Simulation results demonstrate the suitability of the proposed approach to obtain probabilistic distribution functions (PDF) of the main system frequency response.
Original language | English |
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Title of host publication | Proceedings of the 6th International Conference on Clean Electrical Power, ICCEP 2017 |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 403-409 |
Number of pages | 7 |
ISBN (Electronic) | 978-1-5090-4682-9 |
DOIs | |
Publication status | Published - Jun 2017 |
Event | ICCEP 2017: 6th International Conference on Clean Electrical Power - Renewable Energy Resources Impact - Santa Margherita Ligure, Liguria, Italy Duration: 27 Jun 2017 → 29 Jun 2017 Conference number: 6 |
Conference
Conference | ICCEP 2017 |
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Country/Territory | Italy |
City | Liguria |
Period | 27/06/17 → 29/06/17 |
Keywords
- Battery energy storage system
- frequency response
- Monte-Carlo Simulation
- Probabilistic assessment