Abstract
The traditional unit commitment and economic dispatch approaches with deterministic spinning reserve requirements are inadequate given the intermittency and unpredictability of wind power generation. Alternative power system scheduling methods capable of aggregating the uncertainty of wind power, while maintaining reliable and economic performance, need to be investigated. In this paper, a probabilistic model of security-constrained unit commitment is proposed to minimize the cost of energy, spinning reserve and possible loss of load. A new formulation of expected energy not served considering the probability distribution of forecast errors of wind and load, as well as outage replacement rates of various generators is presented. The proposed method is solved by mixed integer linear programming. Numerical simulations on the IEEE Reliability Test System show the effectiveness of the method. The relationships of uncertainties and required spinning reserves are verified.
| Original language | English |
|---|---|
| Article number | 6269099 |
| Pages (from-to) | 2385-2393 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 27 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2012 |
| Externally published | Yes |
Funding
Manuscript received February 27, 2012; revised March 14, 2012 and May 30, 2012; accepted June 26, 2012. Date of publication August 15, 2012; date of current version October 17, 2012. This work was supported in part by GCEP at Stanford University and in part by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program. Paper no. TPWRS-00195-2012.
Keywords
- Expected energy not served (EENS)
- mixed integer linear programming (MILP)
- reliability
- security-constrained unit commitment (SCUC)
- spinning reserve
- wind power