Flexible and robust security-constrained unit commitment in the presence of wind power generation uncertainty

Document Type : Research Paper

Authors

1 Department of Electrical Engineering, Tehran Branch, Technical and Vocational University, Tehran, Iran

2 Department of Electrical Engineering, Shahid Bahonar University, Kerman, Iran

3 Faculty of Electrical Engineering, Sirjan University of Technology, Sirjan, Iran

4 Electrical and Computer Department, Kermanshah Brannch, Technical and Vocational University, Kermanshah, Iran

10.22075/ijnaa.2023.31589.4677

Abstract

Unreliable resources in conventional power systems have created new challenges for the users of these systems. These sources of production, including wind and solar sources, with a significant share in the power generation of many power systems, cause problems in the safe and stable operation of power systems due to uncertainty. Therefore, it is very important to provide a method or model for safe and stable operation of power systems. The main innovation of this paper is to present a new SCUC model to maximize the flexibility of the system along with reducing the operating cost in the form of a security-constrained multi-level robust optimization problem in the presence of wind uncertainty sources. Also, a set of demand response programs and rapid response hybrid cycle units are used as sources of flexibility. Accordingly, the tolerable range of uncertainty and system slope reservation is developed with a low-cost combination and with the commitment to flexible covering resources. The desired optimization problem has been solved with the help of the NCCG algorithm and the MILP method. The efficiency and reliability of this proposed model have been simulated and evaluated in IEEE 6-bus and 118-bus standard power systems, and the simulation results confirm the technical and economic efficiency of this model.

Keywords

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Articles in Press, Corrected Proof
Available Online from 20 December 2023
  • Receive Date: 25 March 2023
  • Revise Date: 11 August 2023
  • Accept Date: 26 August 2023