LAPSE:2019.0046
Published Article
LAPSE:2019.0046
Reliability Analysis of Distribution Systems with Photovoltaic Generation Using a Power Flow Simulator and a Parallel Monte Carlo Approach
Juan A. Martinez-Velasco, Gerardo Guerra
January 7, 2019
This paper presents a Monte Carlo approach for reliability assessment of distribution systems with distributed generation using parallel computing. The calculations are carried out with a royalty-free power flow simulator, OpenDSS (Open Distribution System Simulator). The procedure has been implemented in an environment in which OpenDSS is driven from MATLAB. The test system is an overhead distribution system represented by means of a three-phase model that includes protective devices. The paper details the implemented procedure, which can be applied to systems with or without distributed generation, includes an illustrative case study and summarizes the results derived from the analysis of the test system during one year. The goal is to evaluate the test system performance considering different scenarios with different level of system automation and reconfiguration, and assess the impact that distributed photovoltaic generation can have on that performance. Several reliability indices, including those related to the impact of distributed generation, are obtained for every scenario.
Keywords
distributed generation, distribution system, Monte Carlo method, parallel computation, photovoltaic generation, reliability, system reconfiguration
Suggested Citation
Martinez-Velasco JA, Guerra G. Reliability Analysis of Distribution Systems with Photovoltaic Generation Using a Power Flow Simulator and a Parallel Monte Carlo Approach. (2019). LAPSE:2019.0046
Author Affiliations
Martinez-Velasco JA: Universitat Politècnica de Catalunya, Barcelona 08028, Spain
Guerra G: Universitat Politècnica de Catalunya, Barcelona 08028, Spain
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Journal Name
Energies
Volume
9
Issue
7
Article Number
E537
Year
2016
Publication Date
2016-07-13
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9070537, Publication Type: Journal Article
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LAPSE:2019.0046
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doi:10.3390/en9070537
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Jan 7, 2019
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CC BY 4.0
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Jan 7, 2019
 
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Calvin Tsay
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