Determination AGC capacity requirement and regulation strategies considering penalties of tie-line power flow deviations

Xueshun Zhao, Deqiang Gan, Fushuan Wen, Minxiang Huang, C. W. Yu, C. Y. Chung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)

Abstract

In a competitive electricity market, AGC services are either contracted via negotiations between the market operator and generation companies concerned, or procured via a certain form of auction. A new framework to determine AGC capacity requirement and to deal with regulation strategies under uncertain demand in a competitive electricity market is presented in this paper. First, the stochastic characteristics of AGC services are analyzed. A stochastic optimization decision-making model for determining optimal AGC capacity requirement is then developed, followed by a pricing analysis which reveals that a trade-off between economic efficiency and system security must be made by the market operator. Finally an optimal AGC regulating algorithm is suggested. A numerical study is given to further demonstrate the essential features of the proposed model and method.

Original languageEnglish
Pages (from-to)17-21+32
JournalDianli Xitong Zidonghua/Automation of Electric Power Systems
Volume27
Issue number23
Publication statusPublished - 10 Dec 2003

Keywords

  • Ancillary services
  • Automatic generation control (AGC)
  • Demand uncertainty
  • Electricity market
  • Penalties of tie-line power flow deviations

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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