Haggi, H., Hasanzad, F., Golkar, M. (2017). Security-Constrained Unit Commitment Considering Large-Scale Compressed Air Energy Storage (CAES) Integrated With Wind Power Generation. International Journal of Smart Electrical Engineering, 06(04), 127-134.
Hamed Haggi; Fardin Hasanzad; Masoud Golkar. "Security-Constrained Unit Commitment Considering Large-Scale Compressed Air Energy Storage (CAES) Integrated With Wind Power Generation". International Journal of Smart Electrical Engineering, 06, 04, 2017, 127-134.
Haggi, H., Hasanzad, F., Golkar, M. (2017). 'Security-Constrained Unit Commitment Considering Large-Scale Compressed Air Energy Storage (CAES) Integrated With Wind Power Generation', International Journal of Smart Electrical Engineering, 06(04), pp. 127-134.
Haggi, H., Hasanzad, F., Golkar, M. Security-Constrained Unit Commitment Considering Large-Scale Compressed Air Energy Storage (CAES) Integrated With Wind Power Generation. International Journal of Smart Electrical Engineering, 2017; 06(04): 127-134.
Security-Constrained Unit Commitment Considering Large-Scale Compressed Air Energy Storage (CAES) Integrated With Wind Power Generation
1Department of Electrical Engineering, K.N.Toosi University of Technology, Tehran,IRAN
2Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
3K.N.Toosi University of Technology
Abstract
Environmental concerns and depletion of nonrenewable resources has made great interest towards renewable energy resources. Cleanness and high potential are factors that caused fast growth of wind energy. However, the stochastic nature of wind energy makes the presence of energy storage systems (ESS) in wind integrated power systems, inevitable. Due to capability of being used in large-scale systems and the lower capital cost, compressed air energy storage (CAES) is one of the favorable storage systems. This paper proposes a model for security-constrained unit commitment (SCUC) with integration of large-scale CAES and wind generation. The SCUC problem is formulated as a mixed-integer linear program (MIP) in which a lossless dc representation of transmission network is used and it has been solved by CPLEX solver using General Algebraic Modeling System (GAMS) optimization package. The IEEE RTS 96-bus systems is used to validate the performance of the proposed method.
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