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 language | English |
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Pages (from-to) | 17-21+32 |
Journal | Dianli Xitong Zidonghua/Automation of Electric Power Systems |
Volume | 27 |
Issue number | 23 |
Publication status | Published - 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