The increasing penetration of renewable intermittent generation imposes challenges on the existing distribution infrastructure and the system operator. New power flow patterns may require changes to control strategies, enhanced distribution automation, enforcement of distribution network infrastructure and/or greater degrees of information management and control according to the active distribution network paradigm (ADN). ADN might improve the quality of service or might lead to a more risky distribution system depending on the reliability of its communication and management system. In order to provide a measure of this risk, the reliability of ADNs operation is assessed in the paper with a pseudo sequential Monte Carlo method. The procedure is used to assess the reliability of a given active distribution network in different real case scenarios.
Active distribution network reliability assessment with a pseudo sequential Monte Carlo method
Celli G;Ghiani E;Soma G G;Pilo F
2011-01-01
Abstract
The increasing penetration of renewable intermittent generation imposes challenges on the existing distribution infrastructure and the system operator. New power flow patterns may require changes to control strategies, enhanced distribution automation, enforcement of distribution network infrastructure and/or greater degrees of information management and control according to the active distribution network paradigm (ADN). ADN might improve the quality of service or might lead to a more risky distribution system depending on the reliability of its communication and management system. In order to provide a measure of this risk, the reliability of ADNs operation is assessed in the paper with a pseudo sequential Monte Carlo method. The procedure is used to assess the reliability of a given active distribution network in different real case scenarios.
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