Open AccessImproved Droop Control Strategy of Energy Storage in Islanded Microgrid
Author(s) -
Huihui Zhu,
Fangyuan Tian,
Yan Li,
Xiao Chen,
Yulong Feng,
Xiaobo Tang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/446/4/042074
Subject(s) - voltage droop , microgrid , control theory (sociology) , energy storage , voltage , computer science , distributed generation , stability (learning theory) , energy (signal processing) , point (geometry) , power (physics) , control (management) , engineering , voltage regulator , electrical engineering , renewable energy , mathematics , statistics , physics , geometry , quantum mechanics , artificial intelligence , machine learning
In islanded AC microgrid, droop control strategy is usually adopted for independent distributed generators (DG) which can realize coordinated operation of each unit under the conditions of less data communication. For different capacity of energy storages (ES) system, due to the difference of SOC value, capacity and other state parameters, some units may reach the threshold quickly, thus affecting the system stability. Therefore, on the basis of traditional droop control, combined with the SOC value of energy storage unit, the droop curve which is automatically adjusted with the change of SOC value is constructed. At the same time, the bus voltage is corrected to run at a predetermined point through the voltage feedback link to eliminate the voltage fluctuation. Finally, a microgrid model with dual energy storage system is built inMatlab/Simulink simulation environment. Theresults show that the improved droop control method can make the SOC values of the two energy storages consistent.