Scenario-based optimal reserve dispatch considering uncertainty of wind power

Author(s): L. Y. Chen*, Z. Y. Li
Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
International Journal of Smart Grid and Clean Energy, vol. 3, no. 2, April 2014: pp. 228-233

ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.3.2.228-233

Abstract: This paper presents a model of scenario-based optimal reserve dispatch and security-constrained unit commitment. The objective of the model is to minimize the cost of the energy and reserve. The constraints include network security constraints, reserve scheduled and deployed constraints. The wind speed fluctuation is generated by Monte Caro simulation with Latin hypercube sampling technique. A computationally available mixed-integer linear programming algorithm has been applied to solve the model efficiently. We test our model on the New England 39-bus 10-unit system, and we show the effectiveness of the proposed model for achieving the optimal reserve capacity, economic dispatch and unit commitment.

Keywords: uncertain scenarios; Monte Carlo simulation; scenario reduction; optimal reserve; econimic dipatch; security-constrained unit commitment; mixed-integer linear programming

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