Open AccessResearch on configuration strategy for regional energy storage system based on three typical filtering methods
Author(s) -
Cao Minjian,
Xu Qingshan,
Bian Haihong,
Yuan Xiaodong,
Du Pengwei
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.1096
Subject(s) - energy storage , computer science , energy (signal processing) , filter (signal processing) , process (computing) , power (physics) , convolution (computer science) , renewable energy , basis (linear algebra) , grid , electric power system , mathematical optimization , algorithm , mathematics , engineering , electrical engineering , statistics , physics , geometry , quantum mechanics , machine learning , artificial neural network , computer vision , operating system
With the technological improvement in energy storage field, energy storage systems (ESSs) are exerting increasingly profound influence on future electrical grid which is the combination of numerous renewable energy generation units. However, the problem remains debatable how to appropriately determine the ESS configuration. On the basis of three types of filters, this study proposes a practical and economical method for ESS configuration to stabilise the power fluctuation of distribution feeder lines. According to the historical power data in feeders for a typical day, different ESS configurations are calculated with respect to the rated power and capacity based on various filtering methods. It is found that moving average algorithm is more suitable in the process of solving ESS configuration, considering its compromise between fewer points in average and economical results for ESS configuration. Furthermore, the characteristics of three typical filters as well as explanation for each configuration result are theoretically discussed from the perspective of signal analysis, which helps to illustrate that the circular convolution is the main drawback for larger ESS configuration results solved by ideal low‐pass filtering method.