Reliability Analysis of Power System Considering Renewable Resources, CHP Units, Energy Storage Devices and Demand Response Program
Publish Year: 1404
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JOAPE-13-2_006
تاریخ نمایه سازی: 10 شهریور 1403
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:
Reliability , renewable resources , combined heat and power plant , energy storage systems , demand response program
Authors
Amir Ghaedi
Department of Electrical Engineering Dariun Branch, Islamic Azad University, Dariun, Iran
Mehrdad Mahmoudian
Department of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, Iran
Reza Sedaghati
Department of Electrical Engineering, Beyza Branch, Islamic Azad University, Beyza, Iran
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