An energy storage system configuration method to stabilize power fluctuation in different operation periods

Abstract

This paper has developed a practical and economical method for energy storage system (ESS) configuration to smooth the power fluctuation in distribution network feeders. The method firstly uses historical load data and the output of renewable power plant to analyse the power fluctuation in the feeder over the required time period. Then the configuration of ESS system, in terms of rated power and capacity, is calculated and determined to minimise and reduce power fluctuation in the feeder over different time-window and operating period. It is found that the ESS configuration is closely related to the operational period for which the ESS is required to smooth the feed power fluctuation, such as over typical a day or year. Furthermore, it is shown that the requirement of ESS is larger when it is required to smooth the feed power fluctuation over an operation period of one year than a day. Index Terms--Distribution network, Energy storage system (ESS), Operational period, Rated power and capacity, Smoothing fluctuation I.

Research on configuration strategy for regional energy storage system based on three typical filtering methods

“…On the basis of the same ESS configuration algorithm, a method was put forward for calculating the configuration of ESS with the target of stabilising the fluctuation power of photovoltaic generation in microgrid [14]. In [15], based on a similar model, the paper further explored the relationship between ESS configuration and smoothing target over different time‐window. However, as power signal may be distorted during the process of transforming between time domain and frequency domain, the results showed in [13–15] may not correctly reflect the required rated power or capacity of ESS.…”

“…In [15], based on a similar model, the paper further explored the relationship between ESS configuration and smoothing target over different time‐window. However, as power signal may be distorted during the process of transforming between time domain and frequency domain, the results showed in [13–15] may not correctly reflect the required rated power or capacity of ESS. Therefore, in order to conquer the potential drawbacks brought by DFT, moving average method which is one of the typical time‐domain filtering methods proves to be an effective approach in terms of stabilising fluctuations in feeders.…”

A Novel Method for Fast Configuration of Energy Storage Capacity in Stand-Alone and Grid-Connected Wind Energy Systems

“…Taking wind power as an example, its global cumulative installed capacity kept the acceleration rate around 13% in the past five years. However, a series of drawbacks, such as intermission randomness of renewable energy, must be considered with the promotion of new forms of generation [4,5]. Otherwise, stability and safety problems caused by renewable energy generation may become a serious problem in a modern power systems [6].…”

“…Meanwhile, other researchers (Datta et al [19], Ahmed et al [20], Wang et al [21], Abbassi and Chebbi [22], Makarov et al [8], and Cao et al [5]) calculated the configuration of ESSs based on time-domain or frequency-domain filtering methods to stabilize fluctuation in the regional tie-line. Generally, the ideal low-pass filtering method based on discrete Fourier transform (DFT) is recognized as an efficient way to filter power at a high frequency, which finally smooths the transmission power in the tie-line.…”