Improving the restorability of bulk power systems with the implementation of a wf-bess system

Lei Sun, Weijia Liu, C. Y. Chung, Ming Ding, Rui Bi, Linjie Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)

Abstract

This paper proposes a restorability improvement strategy to accelerate system restoration through the implementation of a wind farm-battery energy storage system (WF-BESS) system. The concept of restorability is introduced and a restorability improvement model (RIM) is proposed and formulated as a mixed integer linear programming problem. To simulate the cylinder temperature drop during outages, the cranking time of a unit is modeled as a stepwise function of its startup time in the RIM. The WF might fail to meet its scheduled generation outputs optimized by the RIM due to the intermittency of wind. To tackle this problem, a linearized control strategy for the BESS (CSBESS) is proposed to minimize the difference between the scheduled wind power outputs and the combined power of the WF-BESS system. An iterative method is employed to efficiently solve the RIM and CSBESS by introducing optimality cuts. An actual power system case is employed to illustrate the effective performance of the proposed approach.

Original languageEnglish
Article number8590731
Pages (from-to)2366-2377
Number of pages12
JournalIEEE Transactions on Power Systems
Volume34
Issue number3
DOIs
Publication statusPublished - May 2019
Externally publishedYes

Keywords

  • Battery energy storage system
  • Power system restoration
  • Resilience
  • Restorability
  • Startup sequence
  • Wind farm

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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