Influence of battery energy storage system on steady state stability of power system

Author(s):  
Shengqing Tang ◽  
Huan Yang ◽  
Rongxiang Zhao ◽  
Xiao Geng
Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 522
Author(s):  
Rajitha Udawalpola ◽  
Taisuke Masuta ◽  
Taisei Yoshioka ◽  
Kohei Takahashi ◽  
Hideaki Ohtake

Power imbalances such as power shortfalls and photovoltaic (PV) curtailments have become a major problem in conventional power systems due to the introduction of renewable energy sources. There can be large power shortfalls and PV curtailments because of PV forecasting errors. These imbalances might increase when installed PV capacity increases. This study proposes a new scheduling method to reduce power shortfalls and PV curtailments in a PV integrated large power system with a battery energy storage system (BESS). The model of the Kanto area, which is about 30% of Japan’s power usage with 60 GW grid capacity, is used in simulations. The effect of large PV power integration of 50 GW and 100 GW together with large BESS capacity of 100 GWh and 200 GWh has been studied. Mixed integer linear programming technique is used to calculate generator unit commitment and BESS charging and discharging schedules. The simulation results are shown for two months with high and low solar irradiance, which include days with large PV over forecast and under forecast errors. The results reveal that the proposed method eliminates power shortfalls by 100% with the BESS and reduce the PV curtailments by 69.5% and 95.2% for the months with high and low solar irradiance, respectively, when 200 GWh BESS and 100 GW PV power generation are installed.


Author(s):  
Mohamed Regad ◽  
M'hamed Helaimi ◽  
Rachid Taleb ◽  
Ahmed M. Othman ◽  
Hossam A. Gabbar

This paper addresses to integrate an optimal Proportional-Integrator-Derivative controller for frequency regulation in an isolated microgrid power system based renewable generation. This autonomous microgrid system is composed of Distributed Energy Sources like wind, solar, Diesel Engine Generator, Fuel Cells system, and two different storage devices such as Battery Energy Storage System and Flywheel Energy Storage System. Optimal tuning of the investigated controller is considered as the main problem to be resolved using the Krill Herd algorithm through an objective function. The obtained results are also accomplished with and without the battery energy storage system. The comparison of system performance shows that the proposed control scheme based Krill Herd Algorithm is better than the Genetic Algorithm in the improvement of system performance.


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