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A new metaheuristic-based MPPT controller for photovoltaic systems under partial shading conditions and complex partial shading conditions

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Abstract

Solar photovoltaic energy is the potential energy in the universe for generating electricity and meeting the required load demand. However, on account of partial shading conditions, the difficult task in the PV system is to track global maxima instead of local maxima and maintain the uninterrupted power supply. To solve this problem, a new metaheuristic algorithm is introduced in this paper such as a heap-based optimizer (HBO). The proposed method is developed in MATLAB/Simulink software. The system is examined under distinct irradiation conditions and compared their performance with other methods. The simulation results reveal that the suggested HBO shows a reliable enhancement as compared to other studied methods with regard to tracking maximum power, convergence time, and settling time. The extracted power efficiencies are 99.85% for case 1, 99.96% for case 2, and 99.92% for case 3. It is found that HBO shows better enrichment than other studied methods.

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Abbreviations

SPV:

Solar photovoltaic

PSC:

Partial shading conditions

GM:

Global maxima

LM:

Local maxima

EVs:

Electric vehicles

MPPT:

Maximum power point tracking

MPP:

Multiple peak power

PS:

Partial shading

HBO:

Heap-based optimizer

IGWO:

Improved grey wolf optimization

ANN:

Artificial neural networks

PSO:

Particle swarm optimization

ABC:

Artificial bee colony

MPSO:

Modified particle swarm optimization

SPSO:

Standard particle swarm optimization

P&O:

Perturb and observe

INC:

Incremental conductance

CC:

Constant current

CV:

Constant voltage

FLC:

Fuzzy logic control

ACO:

Ant colony optimization

BAT:

Bat

CS:

Cuckoo search

CSO:

Cat swarm optimization

DE:

Differential evolution

FA:

Firefly algorithm

SSA:

Salp swarm algorithm

GA:

Genetic algorithm

GWO:

Grey wolf optimization

DFA:

Dragon fly optimization

WOA:

Whale optimization algorithm

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Acknowledgements

This research is funded by the Universiti Malaysia Pahang (UMP) through UMP’s Doctoral Research Scheme (DRS) and through Postgraduate Research Grant Scheme (PGRS) PGRS2003192.

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Authors and Affiliations

  1. Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Malaysia

    Dokala Janandra Krishna Kishore, Mohd Rusllim Mohamed & Kurukuri Peddakapu

  2. Department of Electrical Engineering, Alliance University, Bangalore, India

    Dokala Janandra Krishna Kishore

  3. Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600, Pahang, Malaysia

    Kumarasamy Sudhakar

  4. Energy Centre, Maulana Azad National Institute of Technology, Bhopal, 462003, India

    Kumarasamy Sudhakar

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  1. Dokala Janandra Krishna Kishore
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Correspondence to Mohd Rusllim Mohamed.

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Kishore, D.J.K., Mohamed, M.R., Sudhakar, K. et al. A new metaheuristic-based MPPT controller for photovoltaic systems under partial shading conditions and complex partial shading conditions. Neural Comput & Applic 36, 6613–6627 (2024). https://doi.org/10.1007/s00521-023-09407-x

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