Optimal power regulation for wind integration in the balancing market environment

Xue Lyu, Dominic Groß, Zhao Xu, Zhaoyang Dong, Youwei Jia

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Variable renewable generation and load fluctuations induce significant balancing cost in power system operation. To overcome this issue, this paper proposes a control architecture that leverages inherent regulation capabilities of wind turbines to minimize the system-wide balancing costs. Instead of handling wind power fluctuations via power filtering algorithms that are agnostic to system-wide power imbalance, this paper aims to optimize the wind power generation profile from system perspective. In the proposed method, wind turbines are modelled as semi-dispatchable units, where the dispatch command is dynamically generated at every automatic generation control cycle by considering mileage payments as an indicator of system-wide imbalance. As a result, local resources of wind turbines are optimally leveraged in real-time to mitigate system-wide power imbalances. The proposed strategy and state-of-the-art techniques are compared in comprehensive high-fidelity case studies. Our simulation results demonstrate that the proposed system-aware regulation scheme can alleviate system balancing costs without investments into energy storage systems.

Original languageEnglish
Pages (from-to)3601-3611
Number of pages11
JournalIET Renewable Power Generation
Volume15
Issue number15
DOIs
Publication statusPublished - Nov 2021

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Fingerprint

Dive into the research topics of 'Optimal power regulation for wind integration in the balancing market environment'. Together they form a unique fingerprint.

Cite this