By Topic

Forecasting and procurement of AGC capacity requirement in electricity market environment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Zhen Wang ; Zhejiang Univ., Hangzhou, China ; Xueshun Zhao ; Fushuan Wen ; Deqiang Gan
more authors

Automatic generation control (AGC) is one of the ancillary services (AS). It plays an important role in maintaining system frequency and scheduled tie-line interchange power within specified domains. A new framework for forecasting and procuring AGC capacity so as to well balance the economic efficiency and system security in the competitive electricity market environment is presented in this paper. First, the load deviation percentage is obtained for each studied trading period based on historical data and used to make a preliminary estimation of AGC capacity requirement, and then a dynamic adjustment model is developed to refine the estimation by taking some relevant factors such as the control performance standard (CPS), units' regulation capabilities and load forecast errors into account. A procuring mechanism of the AGC capacity is next presented by trading off between penalties for tie-line power flow deviations and costs of AGC capacity procurement. Finally, a numerical example based on the historical data of Zhejiang provincial electricity market is served for demonstrating the essential features of the proposed model and method.

Published in:

Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on  (Volume:2 )

Date of Conference:

5-8 April 2004