A Novel Global Maximum Power Point Tracking Strategy Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature Conditions

Due to the influence of mutative environmental conditions, the photovoltaic (PV) array of a PV system receives with non-uniform irradiation and temperature, which leads to the power-voltage (P-V) output characteristic appearing multi-peak and the current-voltage (I-V) output characteristic emerging...

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Main Authors: Tingting Pei, Xiaohong Hao, Qun Gu
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/11/10/2708
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spelling doaj-ab13fc734a24412fa4acfba11b5f2c892020-11-25T01:32:41ZengMDPI AGEnergies1996-10732018-10-011110270810.3390/en11102708en11102708A Novel Global Maximum Power Point Tracking Strategy Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature ConditionsTingting Pei0Xiaohong Hao1Qun Gu2College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaCollege of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaCollege of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, ChinaDue to the influence of mutative environmental conditions, the photovoltaic (PV) array of a PV system receives with non-uniform irradiation and temperature, which leads to the power-voltage (P-V) output characteristic appearing multi-peak and the current-voltage (I-V) output characteristic emerging multi-steps. With the assistance of various optimization algorithms, maximum power point tracking (MPPT) technologies have become an effective method to improve the conversion efficiency of the PV system under different weather conditions. However, the recognition ability of these algorithms for global peak are still not guaranteed under uneven irradiation and temperature, which have attributed to absence randomness for these algorithms after reaching the maximum power point (MPP) region. Therefore, a modified flower pollination algorithm (MFPA) is proposed in this paper for MPPT. In MFPA, switching between dual-mode optimization is affected by both switch probability and population fitness values, and therefore overcomes the defects that the flower pollination algorithm (FPA) falls easily into the local maximum and slowly convergences in the later period. The performance of MFPA for MPPT is verified by comparing with the perturb & observe method and FPA. Simulation experiment results show that the proposed algorithm can rapidly and accurately track the MPP under various environmental conditions, especially the performance being superior under the condition of strong irradiation and partial shading.http://www.mdpi.com/1996-1073/11/10/2708photovoltaic (PV) systemsmaximum power point tracking (MPPT)modified flower pollination algorithm (MFPA)non-uniform irradiation and temperature conditions
collection DOAJ
language English
format Article
sources DOAJ
author Tingting Pei
Xiaohong Hao
Qun Gu
spellingShingle Tingting Pei
Xiaohong Hao
Qun Gu
A Novel Global Maximum Power Point Tracking Strategy Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature Conditions
Energies
photovoltaic (PV) systems
maximum power point tracking (MPPT)
modified flower pollination algorithm (MFPA)
non-uniform irradiation and temperature conditions
author_facet Tingting Pei
Xiaohong Hao
Qun Gu
author_sort Tingting Pei
title A Novel Global Maximum Power Point Tracking Strategy Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature Conditions
title_short A Novel Global Maximum Power Point Tracking Strategy Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature Conditions
title_full A Novel Global Maximum Power Point Tracking Strategy Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature Conditions
title_fullStr A Novel Global Maximum Power Point Tracking Strategy Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature Conditions
title_full_unstemmed A Novel Global Maximum Power Point Tracking Strategy Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature Conditions
title_sort novel global maximum power point tracking strategy based on modified flower pollination algorithm for photovoltaic systems under non-uniform irradiation and temperature conditions
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2018-10-01
description Due to the influence of mutative environmental conditions, the photovoltaic (PV) array of a PV system receives with non-uniform irradiation and temperature, which leads to the power-voltage (P-V) output characteristic appearing multi-peak and the current-voltage (I-V) output characteristic emerging multi-steps. With the assistance of various optimization algorithms, maximum power point tracking (MPPT) technologies have become an effective method to improve the conversion efficiency of the PV system under different weather conditions. However, the recognition ability of these algorithms for global peak are still not guaranteed under uneven irradiation and temperature, which have attributed to absence randomness for these algorithms after reaching the maximum power point (MPP) region. Therefore, a modified flower pollination algorithm (MFPA) is proposed in this paper for MPPT. In MFPA, switching between dual-mode optimization is affected by both switch probability and population fitness values, and therefore overcomes the defects that the flower pollination algorithm (FPA) falls easily into the local maximum and slowly convergences in the later period. The performance of MFPA for MPPT is verified by comparing with the perturb & observe method and FPA. Simulation experiment results show that the proposed algorithm can rapidly and accurately track the MPP under various environmental conditions, especially the performance being superior under the condition of strong irradiation and partial shading.
topic photovoltaic (PV) systems
maximum power point tracking (MPPT)
modified flower pollination algorithm (MFPA)
non-uniform irradiation and temperature conditions
url http://www.mdpi.com/1996-1073/11/10/2708
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