Open AccessPrimary frequency control of large-scale PV-connected multi-machine power system using battery energy storage system
Author(s) -
Sajidur Rahman,
Md. Rifat Hazari,
Sumaiya Umme Hani,
Bishwajit Banik Pathik,
Mohammad Abdul Mannan,
Asif Mahfuz,
Mohammad Khurshed Alam,
Md. Kamrul Hassan
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v12.i3.pp1862-1871
Subject(s) - voltage droop , photovoltaic system , frequency grid , automatic frequency control , computer science , grid , electric power system , control theory (sociology) , energy storage , power (physics) , engineering , voltage , electrical engineering , control (management) , telecommunications , physics , geometry , mathematics , quantum mechanics , artificial intelligence , voltage divider
Large-scale grid-tied photovoltaic (PV) station are increasing rapidly. However, this large penetration of PV system creates frequency fluctuation in the grid due to the intermittency of solar irradiance. Therefore, in this paper, a robust droop control mechanism of the battery energy storage system (BESS) is developed in order to damp the frequency fluctuation of the multi-machine grid system due to variable active power injected from the PV panel. The proposed droop control strategy incorporates frequency error signal and dead-band for effective minimization of frequency fluctuation. The BESS system is used to consume/inject an effective amount of active power based upon the frequency oscillation of the grid system. The simulation analysis is carried out using PSCAD/EMTDC software to prove the effectiveness of the proposed droop control-based BESS system. The simulation result implies that the proposed scheme can efficiently curtail the frequency oscillation.