Abstract
The high penetration of renewable energy systems with fluctuating power generation into the electric grids affects considerably the electric power quality and supply reliability. Therefore, energy storage resources are used to deal with the challenges imposed by power variability and demand-supply balance. The main focus of this paper is to investigate the appropriate storage technologies and the capacity needed for a successful tidal power integration. Therefore, a simplified sizing method, integrating an energy management strategy, is proposed. This method allows the selection of the adequate storage technologies and determines the required least-cost storage capacity by considering their technological limits associated with different power dynamics. The optimal solutions given by the multi-objective evolutionary algorithm are presented and analyzed.
Highlights
The integration of renewable energies into the electrical grid is one of the most challenging tasks
The first one is the short duration applications including the reduction of power volatility and the improvement of power quality
As it can be noticed, batteries are more suitable for applications with long term variations on the scale of minutes to several hours, while superconducting magnetic energy storage systems and ultra-capacitors are more adapted for applications on the time scale of several seconds
Summary
The integration of renewable energies into the electrical grid is one of the most challenging tasks. It is common to use ESS for energy time-shift and capacity firming. Capacity firming allows the use of intermittent electric supply as a nearly constant source Such use may reduce power-related charges and/or offset the need for equipment. Satisfying all the earlier announced requirements makes the sizing task very complicated and depending on many parameters (e.g., resource variability, load fluctuation, technologies limitations, life time, costs, etc.). In this context, too many papers in literature deal with the optimal sizing of energy storage systems especially for renewable energy applications [6,7,8,9,10].
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