• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Liu, Chenhao (Liu, Chenhao.) [1] | Jin, Tao (Jin, Tao.) [2] (Scholars:金涛)

Indexed by:

EI Scopus

Abstract:

The wind-storage combined system (WCS) can suppress wind power fluctuations and improve the economic viability of wind power grid connection. However, the output of energy storage is influenced by multiple factors. This article introduces the suppression capability index of energy storage batteries, designs a multi-objective optimization model for protecting energy storage batteries and ensuring grid-connected power suppression capability, proposes a model predictive control strategy (MPC) based on adaptive adjustment of energy storage charge state, and compares the proposed method with traditional model predictive control methods through simulation. The results show that under the same energy storage configuration ratio, the method proposed in this paper can effectively suppress wind power fluctuations, with better overall performance indicators compared to traditional model prediction methods. While optimizing wind power fluctuations, it also enhances the power support capacity of the energy storage system, balancing the trade-off between energy storage output and stability. © 2024 IEEE.

Keyword:

Economic and social effects Electric power supplies to apparatus Electric power system control Electric utilities Energy storage Model predictive control Multiobjective optimization Predictive control systems Secondary batteries Wind farm

Community:

  • [ 1 ] [Liu, Chenhao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Jin, Tao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China

Reprint 's Address:

Email:

Show more details

Version:

Related Keywords:

Source :

Year: 2024

Page: 682-687

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

Online/Total:91/10044373
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1