Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming

2021 ◽  
Author(s):  
Mohammad Amin Mirzaei ◽  
Mohammad Hemmati ◽  
Kazem Zare ◽  
Behnam Mohammadi‐Ivatloo ◽  
Mehdi Abapour ◽  
...  
Keyword(s):  
Energy Storage ◽  
Stochastic Programming ◽  
Power System ◽  
Rail Transportation ◽  
Two Stage ◽  
Battery Energy Storage ◽  
Multi Objective ◽  
Power System Scheduling ◽  
Battery Energy

scholarly journals Optimal Sizing of Battery Energy Storage for a Grid-Connected Microgrid Subjected to Wind Uncertainties

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2412 ◽  
Author(s):  
Mohammed Atta Abdulgalil ◽  
Muhammad Khalid ◽  
Fahad Alismail
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Stochastic Programming ◽  
Power System ◽  
Optimization Problem ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Sources ◽  
Battery Energy Storage ◽  
Battery Energy

In this paper, based on stochastic optimization methods, a technique for optimal sizing of battery energy storage systems (BESSs) under wind uncertainties is provided. Due to considerably greater penetration of renewable energy sources, BESSs are becoming vital elements in microgrids. Integrating renewable energy sources in a power system together with a BESS enhances the efficiency of the power system by enhancing its accessibility and decreasing its operating and maintenance costs. Furthermore, the microgrid-connected BESS should be optimally sized to provide the required energy and minimize total investment and operation expenses. A constrained optimization problem is solved using an optimization technique to optimize a storage system. This problem of optimization may be deterministic or probabilistic. In case of optimizing the size of a BESS connected to a system containing renewable energy sources, solving a probabilistic optimization problem is more effective because it is not possible to accurately determine the forecast of their output power. In this paper, using the stochastic programming technique to discover the optimum size of a BESS to connect to a grid-connected microgrid comprising wind power generation, a probabilistic optimization problem is solved. A comparison is then produced to demonstrate that solving the problem using stochastic programming provides better outcomes and to demonstrate that the reliability of the microgrid improves after it is connected to a storage system. The simulation findings demonstrate the efficacy of the optimum sizing methodology proposed.

scholarly journals A Coordinated Control of Offshore Wind Power and BESS to Provide Power System Flexibility

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4650
Author(s):  
Martha N. Acosta ◽  
Francisco Gonzalez-Longatt ◽  
Juan Manuel Roldan-Fernandez ◽  
Manuel Burgos-Payan
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Wind Power ◽  
Single Layer ◽  
Coordinated Control ◽  
Test System ◽  
Power Converter ◽  
Control Logic ◽  
Battery Energy Storage ◽  
Battery Energy

The massive integration of variable renewable energy (VRE) in modern power systems is imposing several challenges; one of them is the increased need for balancing services. Coping with the high variability of the future generation mix with incredible high shares of VER, the power system requires developing and enabling sources of flexibility. This paper proposes and demonstrates a single layer control system for coordinating the steady-state operation of battery energy storage system (BESS) and wind power plants via multi-terminal high voltage direct current (HVDC). The proposed coordinated controller is a single layer controller on the top of the power converter-based technologies. Specifically, the coordinated controller uses the capabilities of the distributed battery energy storage systems (BESS) to store electricity when a logic function is fulfilled. The proposed approach has been implemented considering a control logic based on the power flow in the DC undersea cables and coordinated to charging distributed-BESS assets. The implemented coordinated controller has been tested using numerical simulations in a modified version of the classical IEEE 14-bus test system, including tree-HVDC converter stations. A 24-h (1-min resolution) quasi-dynamic simulation was used to demonstrate the suitability of the proposed coordinated control. The controller demonstrated the capacity of fulfilling the defined control logic. Finally, the instantaneous flexibility power was calculated, demonstrating the suitability of the proposed coordinated controller to provide flexibility and decreased requirements for balancing power.

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.

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