TY - GEN
T1 - Parameter Estimation for Photovoltaic Strings Under Partial Shading Conditions
AU - Hong, Dou
AU - Ma, Jieming
AU - Man, Ka Lok
AU - Wen, Huiqing
AU - Wong, Prudence
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Accurate estimated model parameters are of great significance to the modeling, characterization, and optimization of photovoltaic (PV) systems. The existing parameter estimation algorithms cannot predict parameters of partially shaded PV systems. This paper proposes a low-cost shading pattern identifi-cation algorithm to estimate essential environmental information for partial shading conditions (PSCs). With the help of a comprehensive PV model, the optimal environmental factors and model parameters can be obtained via a proposed exploration-exploitation-Jaya (EE-Jaya) algorithm, which has the capacity to balance the exploration and exploitation of candidate solutions. The proposed method is tested experimentally to evaluate its performance under a variety of test conditions. Results show that it can balance the local and global search and enable the developed model to fit the measured data well, outperforming other state-of-the-art global optimization algorithms in terms of accuracy and reliability.
AB - Accurate estimated model parameters are of great significance to the modeling, characterization, and optimization of photovoltaic (PV) systems. The existing parameter estimation algorithms cannot predict parameters of partially shaded PV systems. This paper proposes a low-cost shading pattern identifi-cation algorithm to estimate essential environmental information for partial shading conditions (PSCs). With the help of a comprehensive PV model, the optimal environmental factors and model parameters can be obtained via a proposed exploration-exploitation-Jaya (EE-Jaya) algorithm, which has the capacity to balance the exploration and exploitation of candidate solutions. The proposed method is tested experimentally to evaluate its performance under a variety of test conditions. Results show that it can balance the local and global search and enable the developed model to fit the measured data well, outperforming other state-of-the-art global optimization algorithms in terms of accuracy and reliability.
KW - Exploration-Exploitation-Jaya Algorithm
KW - Parameter Estimation
KW - Partial Shading Conditions
KW - Photovoltaic Module
KW - Shading pattern iden-tification
UR - http://www.scopus.com/inward/record.url?scp=85137991538&partnerID=8YFLogxK
U2 - 10.1109/EEEIC/ICPSEurope54979.2022.9854652
DO - 10.1109/EEEIC/ICPSEurope54979.2022.9854652
M3 - Conference Proceeding
AN - SCOPUS:85137991538
T3 - 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022
BT - 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022
Y2 - 28 June 2022 through 1 July 2022
ER -
