Charging and Discharging Pattern Based Optimal Energy Storage System Capacity Planning

• Main Authors: Kuo-Yung Chen, 陳國墉
• Other Authors: Chan-Nan Lu
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/97hhd4

碩士 === 國立中山大學 === 電機工程學系研究所 === 107 === Due to the current trend in energy development, the proportion of intermittent renewable energy in the power grid will increase significantly. This could impact the stability of the power system. Therefore, battery Energy Storage Systems (ESS) which have fast response control capability have become one of the key technologies for green energy development. This thesis proposes an optimal ESS capacity determination procedure based on lifetime estimation of lithium iron phosphate battery with different converter structures. To obtain the most appropriate capacity and to avoid overinvestment, two objective functions are considered. The first objective is to calculate the minimum capacity to meet the charging and discharging requirements of different ESS applications, and the second one is to calculate the optimal capacity that requires minimum investment and operation costs. Applications in PV output smoothing and base load power plant dispatch augmentation are considered in the ESS capacity determination. By taking the battery and converter failure rates, the results show that the optimal capacity can be found through the proposed planning process. Considering the overall investment, maintenance and operation costs, an investment plan with minimum installation capacity to meet the operation requirements may not be the most effective solution which would lead to higher overall costs.