DocumentCode
648459
Title
Assessing the impacts of microgrids on composite power system reliability
Author
Quan Chen ; Mili, Lamine
Author_Institution
Bradley Dept. of Electr. & Comput. Eng., Virginia Tech, Falls Church, VA, USA
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
5
Abstract
With the advent of microgrids and their integration in power systems, the analysis of their impacts on power system planning, operation, and control becomes an important issue to be addressed. In this paper, we focus on assessing the benefits of microgrids on composite power system reliability. The realization of these benefits call for the optimal coordination among the three energy sources within microgrids, namely renewable energy conversion, energy storage and micro-turbine generation. This coordination is modeled when applying sequential Monte Carlo simulations whose objective is to assess the risk of cascading failure due to relay overtripping, short-circuits induced by overgrown vegetation, voltage sags, line and transformer overloading, transient instabilities, voltage collapse, among others. Comparison of the reliability index values is carried out on the Roy Billinton Test System (RBTS) with and without microgrids. It is shown that microgrids significantly improve the reliability of the system.
Keywords
Monte Carlo methods; distributed power generation; energy storage; power generation control; power generation planning; power generation reliability; power supply quality; power transformers; short-circuit currents; turbines; Roy Billinton test system; cascading failure risk; composite power system reliability; energy sources; energy storage; microgrids; microturbine generation; optimal coordination; power system control; power system operation; power system planning; relay overtripping; reliability index values; renewable energy conversion; sequential Monte Carlo simulations; short-circuits; transformer overloading; transient instabilities; vegetation; voltage collapse; voltage sags; Energy storage; Microgrids; Monte Carlo methods; Power system faults; Power system reliability; Reliability; Renewable energy sources; Microgrid penetration; Monte Carlo methods; cascading failures; composite power systems; reliability evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6673042
Filename
6673042
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