Model Predictive Controlled Application of Power Management Algorithm for Battery Energy Storage System Providing Frequency Ancillary Service
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The active power that must be provided in accordance with frequency ancillary service regulations when battery energy storage systems participate in the frequency ancillary service is modelled in this study using a Model Predicted Controlled (MPC) 2-Level Voltage Source Converter (2L-VSC). The reference active power for the 2 MW battery energy storage system was determined using the rule-based power management method, and the outcome was then used as the Model Predicted Control's input data. The output power for the MPC 2L-VSC, whose simulation study was conducted in the Simulink, successfully remained within the active power-frequency envelope in the frequency ancillary service regulation, and the demanded power was delivered by using the battery state of charge (SOC) value optimally. © 2023 IEEE.
Açıklama
14th International Conference on Electrical and Electronics Engineering, ELECO 2023 -- 30 November 2023 through 2 December 2023 -- Virtual, Bursa -- 197135
Anahtar Kelimeler
Battery management systems, Charging (batteries), Digital storage, Information management, Predictive control systems, Secondary batteries, Active power, Ancillary service, Battery energy storage systems, Control inputs, Input datas, Model predictive, Power management algorithms, Power management method, Rule based, Voltage source, Battery storage
Kaynak
14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
