scholarly journals Optimal Sizing of Battery Energy Storage System in a Shipboard Power System with considering Energy Management Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xianqiang Bao ◽  
Xinghua Xu ◽  
Yan Zhang ◽  
Yiyong Xiong ◽  
Chengya Shang
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Discharge Rate ◽  
Storage System ◽  
Energy Storage System ◽  
Mixed Integer ◽  
Energy Integration ◽  
Integer Quadratic Programming ◽  
Battery Energy ◽  
Mixed Integer Quadratic Programming

Due to the increasing concerns about the environmental and economic issues of traditional ships, all-electric ships with energy storage and renewable energy integration have become more and more appealing for the forthcoming future. In this paper, an optimal energy storage system (ESS) capacity determination method for a marine ferry ship is proposed; this ship has diesel generators and PV panels. ESSs sizing optimization and power system scheduling optimization are simultaneously conducted and it is converted to a mixed-integer quadratic programming (MIQP) model with special modeling techniques. The case study shows that the proposed method is flexible and effective, and the relationships between the ESSs size and the discharge rate, life cycle times, or initial investment cost are investigated.

scholarly journals Reduction of Power Imbalances Using Battery Energy Storage System in a Bulk Power System with Extremely Large Photovoltaics Interactions

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 522
Author(s):  
Rajitha Udawalpola ◽  
Taisuke Masuta ◽  
Taisei Yoshioka ◽  
Kohei Takahashi ◽  
Hideaki Ohtake
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Solar Irradiance ◽  
Storage System ◽  
Energy Storage System ◽  
Mixed Integer ◽  
Battery Energy Storage System ◽  
Large Power ◽  
Battery Energy Storage ◽  
Battery Energy

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.

scholarly journals Impact Optimization of Battery Energy Storage System in Microgrid Operation

2020 ◽  
Vol 13 (1) ◽  
pp. 96-107
Author(s):  
Bernard Adjei ◽  
Elvis K. Donkoh ◽  
Dominic Otoo ◽  
Emmanuel De-Graft Johnson Owusu-Ansah ◽  
Francois Mahama
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Mixed Integer ◽  
System Control ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Utility Grid ◽  
Battery Energy ◽  
The Impact

In microgrid operation, one of the most vital tasks of the system control is to wiselydecide between selling excess power to the local grid or charge the Battery Energy Storage System (BESS). Our study uses Mixed-Integer Linear Programming to investigate the impact of storage system on the operational cost of a microgrid. The results suggested that the presence of BESS would relieve the pressure on the utility grid but not the cost of electricity due to the expensive nature of the storage plant. In view of this, it will be more beneficial to sell excess renewable generated power to the utility grid than to invest in a storage system for larger microgrids.

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