Reliability Analysis of Power System Considering Renewable Resources, CHP Units, Energy Storage Devices and Demand Response Program

Document Type : Research paper

Authors

1 Department of Electrical Engineering Dariun Branch, Islamic Azad University, Dariun, Iran

2 Department of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, Iran

3 Department of Electrical Engineering, Beyza Branch, Islamic Azad University, Beyza, Iran

Abstract

In recent years, due to rising social welfare, the reliability has become one of most important topics of modern power network and electricity companies try to provide the electric power to the consumers with minimal interruptions. For this purpose, the electricity companies to improve the reliability of the power system can utilize different techniques. In this paper, new developments occurred in electricity industry including integration of large-scale renewable resources, integration of large capacity energy storage systems, integration of combined heat and electricity units into power network and demand side response plans are taken into account, and these events impact on power network reliability is assessed. Power networks are affected with integration of renewable resources. Multi-state reliability models for renewable generation plants are obtained, in the paper. Suitable number of states in the proposed reliability model is selected by calculating XB index. Besides, fuzzy c-means clustering approach is utilized for determining probability of states. For study impact of energy storage systems with large capacity on power network reliability, load model is modified. To investigate effect of combined heat and power plants on power network reliability, failure of composed elements and produced thermal power are considered in reliability model of these plants. To evaluate demand side response impact on reliability of power network, the load model is modified. The effectiveness of the proposed techniques on the reliability enhancement of power network is satisfied using numerical results performed on reliability test systems based on the suggested methods.

Keywords

Main Subjects

References

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Journal of Operation and Automation in Power Engineering

Articles in Press, Corrected Proof
Available Online from 08 November 2023

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History

  • Receive Date: 07 February 2023
  • Revise Date: 24 May 2023
  • Accept Date: 26 May 2023

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