Perturbation optimization of maximum power point tracking of photovoltaic power systems based on practical solar irradiance data

Du, Yang, Li, Xingshuo, Wen, Huiqing, and Xiao, Weidong (2015) Perturbation optimization of maximum power point tracking of photovoltaic power systems based on practical solar irradiance data. In: Proceedings of the IEEE 16th Workshop on Control and Modeling for Power Electronics. From: COMPEL 2015: IEEE 16th Workshop on Control and Modeling for Power Electronics, 12-15 July 2015, Vancouver, Canada.

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Abstract

There is a dilemma for fixed step perturb-and-observe (P&O) maximum power point tracking (MPPT) method which is the tracking accuracy and speed. The idea of this paper is to propose an optimized solution which can be regard as a trade-off between performance and cost. The optimal selection of the perturb step size will be designed off-line for a specific location based on their local meteorological data. The step size also can be updated monthly for better system performance without increasing the control complexity. Simulation and experiments have been carried out to verify the effectiveness and superiority of the proposed method. The experimental results show an example with 5.8% of energy generation increase by selecting optimal step size based on the local irradiance data.

Item ID: 58397
Item Type: Conference Item (Research - E1)
ISBN: 978-1-4673-6847-6
Copyright Information: © 2015 IEEE
Funders: Xi'an Jiaotong-Liverpool University (XJTLU), State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (SKL)
Projects and Grants: XJTLU (RDF-14-02-03), SKL (LAPS15014)
Date Deposited: 28 Aug 2019 02:26
FoR Codes: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells) @ 100%
SEO Codes: 85 ENERGY > 8505 Renewable Energy > 850504 Solar-Photovoltaic Energy @ 100%
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