Estimation of photovoltaic system reliability and performance metrics

Sairaj V. Dhople, Alejandro D. Domínguez-García

Research output: Contribution to journalArticlepeer-review

75 Scopus citations


A framework to integrate reliability and performance analysis of grid-tied photovoltaic (PV) systems is formulated using Markov reward models (MRM). The framework allows the computation of performance metrics such as capacity and energy yield, and reliability metrics such as availability. The paper also provides an analytical method to compute the sensitivity of performance metrics to MRM-parameter variations. The approach to sensitivity analysis is demonstrated to be particularly useful to formulate optimal operational policies, e.g., repair strategies, as the impact of variations in model parameters on system performance can be rapidly evaluated. Case studies demonstrate several applications of the proposed framework, including analysis of residential and large utility-level installations, and emerging distributed inverter architectures.

Original languageEnglish (US)
Article number6026939
Pages (from-to)554-563
Number of pages10
JournalIEEE Transactions on Power Systems
Issue number1
StatePublished - Feb 2012

Bibliographical note

Funding Information:
Manuscript received April 10, 2011; revised July 01, 2011 and August 07, 2011; accepted August 09, 2011. Date of publication September 26, 2011; date of current version January 20, 2012. This work was supported in part by the National Science Foundation (NSF) under grant ECCS-CAR-0954420. Paper no. TPWRS-00313-2011.

Copyright 2012 Elsevier B.V., All rights reserved.


  • Generalized matrix inversion
  • Markov reward models
  • photovoltaics
  • reliability
  • sensitivity analysis


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