Method, implementation and application of energy storage system designing

This paper introduces an energy storage capacity optimization method and a new software tool for energy storage system designing (DESS). First, this paper proposes a new method of energy storage capacity optimization, which is the basis of a main function of DESS. The third-order Butterworth low-pass filter model can effectively smooth power fluctuations. Compared with traditional methods, the proposed method considers the external characteristics of energy storage and system losses, which produces more accurate capacity. Second, DESS is developed under the background of China Southern Power Grid MW-level storage station demonstration project. The functions of DESS include data analysis, capacity optimization, structural design and scheme evaluation. DESS can assist engineers to obtain the optimal scheme by comparing different schemes. Third, the characteristics of DESS are summarized through comparing with HOMER and Hybrid2. Finally, DESS has shown its effectiveness in the case of designing the first MW-level battery storage station in China.