The Energy Storage Operation Under Stochastic Renewable Generation

The percentage of unpredictable renewable power in the power grid will dramatically rise as a result of the present trend in energy , development. The power system's stability could be impacted by this. Therefore, one of the major technologies for the development of green energy is the battery-based Energy Storage System (ESS) with quick reaction control capabilities. In this thesis, a method for determining the best ESS capacity is suggested. It is based on estimates of the lithium iron phosphate battery's lifetime for various converter topologies. Two goal functions are taken into consideration in order to get the best capacity and prevent overinvestment. The first goal is to determine the minimal capacity necessary to satisfy the charge and discharge demands of various ESS implementations, and the secondary purpose is to determine the ideal capacity that necessitates the least amount of capital expenditure and operational expense. The ESS capacity estimation takes into account applications in Photovoltaic output smoothing & base load power plant dispatching augmentation. In the case that the overall average effective depth of discharge under the minimum required capacity of the energy storage system is very shallow, it will severely limit the range of battery life that can be extended by increasing the rated capacity. This may lead to the optimal capacity being the minimum required capacity, or the optimal capacity and The minimum required capacity requires the same number of battery changes. The deeper the overall average effective discharge depth caused by the minimum required capacity of the energy storage system is, the more effectively the total investment cost can be reduced by increasing the rated capacity.