Impact of Wind Power Scenario Reduction Techniques on Stochastic Unit Commitment
- 1 February 2016
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 202-210
- https://doi.org/10.1109/smrlo.2016.42
Abstract
Stochastic unit commitment (SUC) is an effective method widely used to cope with the uncertainty of wind power. For the limitation of computation capability, only limited members of representative scenario can be considered in SUC. It thus rises the concern that whether the selected scenarios can fully represent the uncertainty nature of wind power. In this paper, the performance of reduced scenarios is quantified by both its statistical quality and its economic value on the optimality of SUC. Two metrics are proposed to quantify the distortion of the stochastic quality of wind power during the scenario reduction process: output uncertainty and ramp diversity. The economic value of reduced scenarios is evaluated as the difference between the optimal cost of the SUC model associated with limited scenarios and the expected "actual" operating costs when considering all the possible scenarios. Then, this paper reviews several typical wind power scenario techniques and categorizes them by both the scenario clustering approach and scenario reduction criterion. The quality of each method is tested using the real wind power data from NREL database and the modified IEEE RTS-79 system. Results show that the performance of SUC is more sensitive to the output uncertainty approximation rather than the ramp diversity approximation of reduced scenarios.Keywords
This publication has 14 references indexed in Scilit:
- Clustering by fast search and find of density peaksScience, 2014
- Modeling Conditional Forecast Error for Wind Power in Generation SchedulingIEEE Transactions on Power Systems, 2013
- Scenario Generation of Wind Power Based on Statistical Uncertainty and VariabilityIEEE Transactions on Sustainable Energy, 2013
- Evaluating the quality of scenarios of short-term wind power generationApplied Energy, 2012
- Finding representative wind power scenarios and their probabilities for stochastic modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Assessment of Simulated Wind Data Requirements for Wind Integration StudiesIEEE Transactions on Sustainable Energy, 2011
- SIMULATION METHODOLOGY OF MULTIPLE WIND FARMS OPERATION CONSIDERING WIND SPEED CORRELATIONInternational Journal of Power and Energy Systems, 2010
- Economic Valuation of Reserves in Power Systems With High Penetration of Wind PowerIEEE Transactions on Power Systems, 2009
- Generation of Statistical Scenarios of Short-term Wind Power ProductionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- IEEE Reliability Test SystemIEEE Transactions on Power Apparatus and Systems, 1979