Open Access
Research on energy storage participating in frequency modulation based on fuzzy partition coordinated control
Author(s) -
Ping Li,
Sun Feng,
Siqi Liu,
Wende Wang,
Xiaolin Zhang,
Peng Ye
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/617/1/012046
Subject(s) - computer science , automatic frequency control , partition (number theory) , energy storage , modulation (music) , frequency modulation , waveform , frequency deviation , energy (signal processing) , frequency regulation , electronic engineering , power (physics) , control theory (sociology) , control (management) , engineering , electric power system , radio frequency , telecommunications , mathematics , physics , radar , statistics , combinatorics , quantum mechanics , artificial intelligence , acoustics
Energy storage has the advantages of fast response and accurate power tracking when participates in frequency modulation. By dividing the Area Control Error (ACE) and battery’s State of Charge (SOC) into different regions, combining them with four different emergency frequency modulation states, this paper proposes a partition coordinated control strategy for energy storage to participate in frequency modulation. According to the regional interconnected system, the model of energy storage participating in power grid frequency modulation is built in MATLAB/Simulink. Based on the conventional control and the partition coordinated control, the frequency waveform analyzed. The results show that the energy storage participating in frequency modulation can effectively shorten the regulation time and reduce the frequency fluctuation. The fuzzy control used to optimize the partition coordinated control strategy to make the whole link have better frequency modulation ability.