ERCOT has moved from a zonal market to an advanced nodal market since December 2010. In ERCOT, combined cycle trains (CCT) contribute a significant share of its total installed capacity. Therefore, how to accurately and efficiently model the CCT is one of the key factors for a successful EROCT nodal market. In order to facilitate market operations and ensure the system reliability, the ERCOT nodal market supports the modeling of CCT in two different ways: configuration-based modeling and physical unit modeling. The complexity of dependency within a combined cycle train is tackled by introducing state transition matrix. The scheduling and settlement for CCT in Day-Ahead Market (DAM), Reliability Unit Commitment (RUC), and Real-Time Market Security Constrained Economic Dispatch (SCED) are discussed respectively. Then, calculation of Locational Marginal Price (LMP) and Settlement Point Price (SPP) for CCT is completely discussed for both Day-Ahead and Real-Time Markets. Finally, a numerical example is presented to illustrate the implemented CCT modeling.
[1]
Feng Gao,et al.
ECONOMIC DISPATCH ALGORITHMS FOR THERMAL UNIT SYSTEM INVOLVING COMBINED CYCLE UNITS
,
2005
.
[2]
Hailong Hui,et al.
Reliability unit commitment in the new ERCOT nodal electricity market
,
2009,
2009 IEEE Power & Energy Society General Meeting.
[3]
A. I. Cohen,et al.
Security Constrained Unit Commitment for open markets
,
1999,
Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).
[4]
A. I. Cohen,et al.
Scheduling units with multiple operating modes in unit commitment
,
1995
.
[5]
M. Shahidehpour,et al.
Component and Mode Models for the Short-Term Scheduling of Combined-Cycle Units
,
2009,
IEEE Transactions on Power Systems.