DocumentCode :
2131730
Title :
Impact of DG and energy storage on distribution network reliability: A comparative analysis
Author :
Hernando-Gil, Ignacio ; Ilie, Irinel-Sorin ; Collin, Adam J. ; Acosta, Jorge L. ; Djokic, Sasa Z.
Author_Institution :
Inst. for Energy Syst., Univ. of Edinburgh, Edinburgh, UK
fYear :
2012
fDate :
9-12 Sept. 2012
Firstpage :
605
Lastpage :
611
Abstract :
This paper discusses possible benefits of coordinated deployment of renewable-based micro-generation (MG) systems and energy storage schemes on reliability performance of distribution networks. Particular attention is given to continuity of supply of low voltage residential customers and potential scenarios to improve service quality by reducing the frequency and duration of customer long interruptions. Detailed network representations and improved models of aggregate loads and distributed generation/storage systems are used to assess the variable behaviour of domestic power demands and renewable energy resources. The conventional Monte Carlo Simulation (MCS) analysis is extended with an empirical probabilistic model of network faults, in order to estimate both system and customer-related reliability indices in the most realistic manner.
Keywords :
Monte Carlo methods; distributed power generation; energy storage; fault diagnosis; power distribution reliability; quality of service; renewable energy sources; DG; MCS; MG systems; Monte Carlo simulation analysis; comparative analysis; customer-related reliability indices; distributed generation; distribution network reliability; domestic power demands; empirical probabilistic model; energy storage schemes; load aggregation; low voltage residential customers; network faults; renewable energy resources; renewable-based microgeneration systems; service quality improvement; variable behaviour; Aggregates; Analytical models; Energy storage; Load modeling; Maintenance engineering; Power system reliability; Reliability; continuity of supply; long interruptions; micro-generation; network modelling; reliability indices; renewable-based distributed generation and storage systems; smart grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International
Conference_Location :
Florence
Print_ISBN :
978-1-4673-1453-4
Type :
conf
DOI :
10.1109/EnergyCon.2012.6348224
Filename :
6348224
Link To Document :
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