Abstract
Renewable resources technologies such as wind power currently demonstrate a worldwide popularity thanks to their environmental friendly status and their economic potential. The variability of the wind power output implies the use of practical solutions such as energy storage systems in order to retain the power system stability and reliability. The wind geographical correlation between different wind farms also impacts the system reliability. This paper studies the effects of the wind speed correlation level on the performance of the associated energy storage system (ESS). Wind correlated model using Weibull probability distribution and Nataf transformation is presented. Energy storage system model and energy management algorithm are developed. Both are applied to a modified IEEE-RTS power generation and load model. The case simulation results indicate that the wind speed correlation level between two wind farms impacts the power distribution inside energy storages and that it needs to be considered in order not to overestimate ESS benefits on the system.
Highlights
Renewable energies are seen as a way to fight against environmental issues
For a total number ݉ of wind farms connected to the grid, each wind farm wind turbine generator (WTG) rated power ܲis given by equation (5)
If the state of charge (SOC) is less than the amount of power available, the energy storage (ES) will charge at its maximum capacity and the remaining energy will be added as surplus power in the system
Summary
Renewable energies are seen as a way to fight against environmental issues. They are mainly subject to intermittency and randomness due to resource uncertainty. With the increase of the renewable energies penetration rate, it becomes important to develop methods to evaluate the impact of these resources generation on power system reliability and to manage this power output more efficiently. Analytical procedures were proposed to evaluate operational reliability and energy utilization efficiency of power systems with high wind power or solar power penetration [2]. Energy management algorithm and rule-based control method for the integration of wind and solar power were proposed [5, 6]. The model of wind farms with different correlation levels and the ESS model are descripted. The impact of the correlation on the system adequacy assessment indices and on the characteristics of the ESS is analysed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
