As the technological evolution continuously flourishes, battery cell prices plunge and political debates about sustainable innovation heat up, the economic attractiveness of battery energy storage systems gets stimulated. The recent development in the German political sphere is driving the transformation in energy generation from traditional to sustainable energy supply. Whereas most research analyzes the potential of single-purpose battery energy storage systems, few studies prove the techno-economic benefits of this technology and its ability to serve multiple purposes. This study evaluates the economic implications of such batteries with a simulation model designed to optimize the return of investment and net present value for a project scope of 20 years while serving as frequency containment operators. The model simulates one year with real data of the Continental European grid frequency, the EPEX electricity market, and load and generation profile of a northern German distribution grid and scales the results with respect to the battery's degradation. Enhanced frequency response and primary control reserve are compared on their technical and economic feasibility as well as their combination with peak shaving applications. The results of the simulations indicate that the enhanced frequency response has the highest profitability and performance for battery energy storage systems. Adding the peak shaving application can improve the profitability and de-stress the grid. In any case, larger battery dimensions regarding capacity and power are linked to higher investment costs and thereby reduce the overall return on investment.

随着技术的不断发展，电池价格的暴跌以及关于可持续创新的政治争论日益升温，电池储能系统的经济吸引力受到了刺激。德国政治领域的最新发展正在推动能源生产从传统能源供应向可持续能源供应的转变。尽管大多数研究分析了单用途电池储能系统的潜力，但很少有研究证明该技术的技术经济优势及其可用于多种用途的能力。这项研究使用仿真模型评估了此类电池的经济意义，该仿真模型旨在优化20年项目范围内的投资回报率和净现值，同时充当频率限制运营商。该模型使用欧洲大陆电网频率，EPEX电力市场以及德国北部配电网的负荷和发电状况的真实数据模拟了一年，并根据电池的退化来缩放结果。比较了增强的频率响应和主要控制储备的技术和经济可行性，以及它们与调峰应用的结合。仿真结果表明，增强的频率响应对于电池储能系统具有最高的获利能力和性能。添加调峰应用程序可以提高盈利能力并减轻电网压力。在任何情况下，有关容量和功率的较大电池尺寸都会导致较高的投资成本，从而降低总体投资回报率。