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Johan S. Obando
Universidad Autónoma de Occidente
Computer Science & IT Electrical & Electronics Engineering

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Quantification of operating reserves with high penetration of wind power considering extreme values Johan S. Obando; Gabriel González; Ricardo Moreno
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (604.535 KB) | DOI: 10.11591/ijece.v10i2.pp1693-1700

Abstract

The high integration of wind energy in power systems requires operating reserves to ensure the reliability and security in the operation. The intermittency and volatility in wind power sets a challenge for day-ahead dispatching in order to schedule generation resources. Therefore, the quantification of operating reserves is addressed in this paper using extreme values through Monte-Carlo simulations. The uncertainty in wind power forecasting is captured by a generalized extreme value distribution to generate scenarios. The day-ahead dispatching model is formulated as a mixed-integer linear quadratic problem including ramping constraints. This approach is tested in the IEEE-118 bus test system including integration of wind power in the system. The results represent the range of values for operating reserves in day-ahead dispatching.
Co-Authors Gabriel Gonzalez Ricardo Moreno