Investigation of Energy Storage Systems - Improvement of Utilization by Use Case Combination

Abstract

Battery storage systems are frequently used in the stationary sector in the areas of self-consumption optimization of renewable generation plants, reducing peak loads, uninterruptible power supply, frequency control reserve, and in several other areas. Separately, the applications can be used for the economic operation of an energy storage system. With the intention to increase the economic revenues opportunities must be found to combine the application possibilities. In this paper a method for the analysis of energy storage algorithms by analyzing the power and capacity profiles is presented. The goal is to find out time windows where the use of different energy storage algorithms is possible. By analyzing the power and storage level curves, this utilization can also analyze whether parallel utilization is possible. This utilization analysis can be used to develop a predictive control algorithm that can use the forecast-based utilization analysis to decide which deployment options can be used most economically. The development of such an algorithm is the next step and will be presented in a later paper. The elaboration relates to the purely theoretical analysis of the load profiles. The development of an energy management system with this functionality will be presented in another paper. The results show that the utilization and the economic efficiency can be significantly increased by combining the application possibilities in this theoretical consideration. Consequently, the presented approach results in some advantages and disadvantages which will be discussed in detail in the conclusion.