Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization

Wei Wang; Peng Chen; Guorui Ren; Jizhen Liu; Fang Fang; Zhe Chen

doi:10.17775/CSEEJPES.2022.06930

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Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization

Regular Papers | 更新时间：2026-10-15

- Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization
- CSEE Journal of Power and Energy Systems Vol. 10, Issue 6, Pages: 2283-2295(2024)
- 作者机构：
  
  1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University,Beijing,China
  2. School of Control and Computer Engineering, North China Electric Power University,Beijing,China
  3. Department of Energy Technology, Aalborg University, Aalborg,Denmark
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.06930
  CLC：
- Published：01 November 2024
- 稿件说明：
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Wei Wang, Peng Chen, Guorui Ren, et al. Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization[J]. CSEE Journal of Power and Energy Systems, 2024, 10(6): 2283-2295.
DOI：

Wei Wang, Peng Chen, Guorui Ren, et al. Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization[J]. CSEE Journal of Power and Energy Systems, 2024, 10(6): 2283-2295. DOI： 10.17775/CSEEJPES.2022.06930.

摘要

Abstract

Hybrid energy storage system (HESS) is an effective way to mitigate wind power fluctuations on multi-time scale

and can improve influence of large-scale grid-connected wind power on stability and reliability of power system. A novel methodology named zero-phase controlled auto-regressive integrated moving-average (CARIMA) filter is proposed to integrate HESS to smooth wind power fluctuations. First

a design method for zero-phase CARIMA filter is provided

and then used to determine grid-connected power for a wind storage system and size HESS. The reasons

direct current (DC) component caused by energy storage efficiency and grid-connected power delay caused by phase shift

for causing superfluous energy storage configuration are revealed. In addition

a nonlinear programming scheduling strategy considering battery degradation is proposed. Power imbalance caused by efficiency difference during dynamic adjustment of energy storage output power is addressed. Furthermore

thermostatically controlled loads (TCLs) are integrated in sizing and scheduling HESS to reduce energy storage demand and improve operating conditions of energy storage. Finally

effectiveness of the proposed strategy is verified by a case study.

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