Abstract
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.
Highlights
The importance of green energy and renewable energy sources increases to save the environment.When it comes to renewable energy sources, it is very important to talk about energy storage systems (ESS) and their applications in microgrids integrated with renewable energy
The microgrid unit commitment problem is solved for a two-year horizon before and after the integration of the ESS to calculate the output power of each generation unit, the power exchanged with the main grid, and the power taken or produced in the second case by the ESS
The same concept is applied to the main grid where, when energy is imported into the microgrid, it is considered as a load when energy is exported to the microgrid
Summary
The importance of green energy and renewable energy sources increases to save the environment When it comes to renewable energy sources, it is very important to talk about energy storage systems (ESS) and their applications in microgrids integrated with renewable energy. This paper describes a method for optimally sizing an ESS to be incorporated into a microgrid linked to a main grid under wind uncertainties to improve the accuracy and reliability of the microgrid using the stochastic programming method. Some papers have been written about the optimal sizing of a storage system in a microgrid. Energies 2019, 12, 2412 of an energy storage system taking into account wind uncertainties in system modeling, which is of critical importance in power systems with intermittent renewable energy sources such as wind.
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