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Grid-Tied PV-BES system based on modified bat algorithm-FLC MPPT technique under uniform conditions

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Abstract

Grid-connected photovoltaic (PV) systems play an important role in reducing emissions resulting from conventional fossil-fuel-based power plants. However, in order to effectively integrated PV systems into the power system, many challenges regarding these renewable resources such as extracting maximum power under various conditions should be solved. This paper suggests an enhanced maximum power point tracking (MPPT) by the fuzzy logic controller (FLC) and a modified bat algorithm (MBA) to fine-tune the parameters of the controller. The FLC is greatly affected by rule base and membership functions (MFs). The fine-tuning of such parameters cannot be appropriate when accurate information regarding the system is not available. To overcome the above-mentioned challenges, the MBA algorithm is utilized to optimize the scaling factors of MFs. Simulation results confirm that the suggested MBA-FLC method can effectively cope with the global maxima under different weather circumstances with high efficiency, faster tracking and stable output.

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Abbreviations

MBA:

Modified bat algorithm

PV:

Photovoltaic

MFs:

Membership functions

RESs:

Renewable energy sources

BES:

Battery energy storage

MPP:

Maximum power point

AI:

Artificial intelligence

HC:

Hill climbing

I ref :

Short circuit current

K i :

Temperature coefficient

T :

Actual temperature

T ref :

Reference temperature

G :

Solar irradiation (W/m2)

G 0 :

Nominal irradiation

V:

Open-circuit voltage

R S :

Series resistance

R P :

Parallel resistance

NS :

Number of series cells

Xbest :

Best solution

P max :

Upper bound of the power output

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Acknowledgement

The study was supported by “Initial Scientific Research Fund of Doctor of Hebei University of science and technology (1181069), China”.

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Authors and Affiliations

  1. School of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, Hebei, China

    Lijun Zhao

  2. Faculty of Electronic and Information Engineering, Huaiyin Institute of Technology, Huai’an, China

    Mingxin Jiang

  3. Department of Electrical Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran

    Sajjad Dadfar & Farah Jamali

  4. Department of Electrical Power and Machines Engineering, Zagazig University, Zagazig, Egypt

    Ahmed Ibrahim & Raef Aboelsaud

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  1. Lijun Zhao
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  2. Mingxin Jiang
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Correspondence to Lijun Zhao.

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Zhao, L., Jiang, M., Dadfar, S. et al. Grid-Tied PV-BES system based on modified bat algorithm-FLC MPPT technique under uniform conditions. Neural Comput & Applic 33, 14929–14943 (2021). https://doi.org/10.1007/s00521-021-06128-x

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