TY - JOUR
T1 - Estimation of photovoltaic system reliability and performance metrics
AU - Dhople, Sairaj V.
AU - Domínguez-García, Alejandro D.
N1 - 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:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012/2
Y1 - 2012/2
N2 - 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.
AB - 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.
KW - Generalized matrix inversion
KW - Markov reward models
KW - photovoltaics
KW - reliability
KW - sensitivity analysis
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U2 - 10.1109/TPWRS.2011.2165088
DO - 10.1109/TPWRS.2011.2165088
M3 - Article
AN - SCOPUS:84856240122
SN - 0885-8950
VL - 27
SP - 554
EP - 563
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 1
M1 - 6026939
ER -