Optimal energy and reserve scheduling for power systems considering frequency dynamics, energy storage systems and wind turbines

2019 ◽  
Vol 228 ◽  
pp. 341-358 ◽  
Author(s):  
Mostafa Sedighizadeh ◽  
Masoud Esmaili ◽  
S. Mohammadreza Mousavi-Taghiabadi
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Wind Turbines ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Optimal Energy

scholarly journals Optimal Energy Management of Railroad Electrical Systems with Renewable Energy and Energy Storage Systems

2019 ◽  
Vol 11 (22) ◽  
pp. 6293 ◽  
Author(s):  
Seunghyun Park ◽  
Surender Reddy Salkuti
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Energy Management ◽  
Storage Systems ◽  
Solar Pv ◽  
Energy Storage Systems ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Optimal Energy ◽  
Optimal Energy Management

The proposed optimal energy management system balances the energy flows among the energy consumption by accelerating trains, energy production from decelerating trains, energy from wind and solar photovoltaic (PV) energy systems, energy storage systems, and the energy exchange with a traditional electrical grid. In this paper, an AC optimal power flow (AC-OPF) problem is formulated by optimizing the total cost of operation of a railroad electrical system. The railroad system considered in this paper is composed of renewable energy resources such as wind and solar PV systems, regenerative braking capabilities, and hybrid energy storage systems. The hybrid energy storage systems include storage batteries and supercapacitors. The uncertainties associated with wind and solar PV powers are handled using probability distribution functions. The proposed optimization problem is solved using the differential evolution algorithm (DEA). The simulation results show the suitability and effectiveness of proposed approach.

scholarly journals Battery Energy Storage Systems in Microgrids: Modeling and Design Criteria

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2006 ◽  
Author(s):  
Matteo Moncecchi ◽  
Claudio Brivio ◽  
Stefano Mandelli ◽  
Marco Merlo
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Robust Design ◽  
Storage Systems ◽  
Storage System ◽  
Real Life ◽  
Energy Storage Systems ◽  
Battery Energy Storage ◽  
Battery Energy Storage Systems ◽  
Battery Energy

Off-grid power systems based on photovoltaic and battery energy storage systems are becoming a solution of great interest for rural electrification. The storage system is one of the most crucial components since inappropriate design can affect reliability and final costs. Therefore, it is necessary to adopt reliable models able to realistically reproduce the working condition of the application. In this paper, different models of lithium-ion battery are considered in the design process of a microgrid. Two modeling approaches (analytical and electrical) are developed based on experimental measurements. The derived models have been integrated in a methodology for the robust design of off-grid electric power systems which has been implemented in a MATLAB-based computational tool named Poli.NRG (POLItecnico di Milano—Network Robust desiGn). The procedure has been applied to a real-life case study to compare the different battery energy storage system models and to show how they impact on the microgrid design.

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