Allocation of Hourly Reserve Versus Demand Response for Security-Constrained Scheduling of Stochastic Wind Energy

Date

2013-01-01

Author

Sahin, Cem
Shahidehpour, Mohammad
Erkmen, İsmet

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper presents a stochastic method for the hourly scheduling of optimal reserves when the hourly forecast errors of wind energy and load are considered. The approach utilizes the stochastic security-constrained unit commitment (SCUC) model and a two-stage stochastic programming for the day-ahead scheduling of wind energy and conventional units with N - 1 contingencies. The effect of aggregated hourly demand (DR) response is considered as a means of mitigating transmission violations when uncertainties are considered. The proposed mixed-integer programming (MIP) model applies the Monte Carlo method for representing the hourly wind energy and system load forecast errors. A 6-bus, 118-bus, and the Northwest region of Turkish electric power network are considered to demonstrate the effectiveness of the proposed day-ahead stochastic scheduling method in power systems.

Subject Keywords

Demand response, Hourly reserves, Load and wind forecast errors, Random contingencies, Stochastic security-constrained unit commitment (SCUC), Wind energy

URI

https://hdl.handle.net/11511/39826

Journal

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY

DOI

https://doi.org/10.1109/tste.2012.2213849

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

C. Sahin, M. Shahidehpour, and İ. Erkmen, “Allocation of Hourly Reserve Versus Demand Response for Security-Constrained Scheduling of Stochastic Wind Energy,” IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, pp. 219–228, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39826.