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Performance Comparison of Conventional IC and Dragonfly-Based MPPT for Solar PV Systems Under Partial Shading Conditions

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Advances in Automation, Signal Processing, Instrumentation, and Control (i-CASIC 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 700))

Abstract

The demand for various sources of energy is unpredictably escalating in an astonishing rate. Conventional energy sources have started declining at a tremendous rate due to this increased demand. Environmentalists have started worrying about the future and have initiated many steps in order to fulfill present demands and also make sure that we do not compromise with the upcoming generations. Solar energy, one of the clean form energies found till date, is still a researchable topic among all scholars. Photovoltaic arrays use MPPT techniques in order to achieve high power even at undesirable environmental conditions. This helps the arrays to operate in the MPP region more often. This paper presents a case study of application of dragonfly algorithm, a recently developed swarm intelligence algorithm, inspired by the static and dynamic swarming behaviors of dragonflies, to maximum power point tracking (MPPT), to improve the efficiency of solar photovoltaic (PV) systems. The search for more techniques to tap solar energy has been a thirst among various researchers around the world. A conventional MPPT algorithm, incremental conductance method, was utilized for comparison with dragonfly algorithm in this paper. The results were evaluated and compared under different testing conditions, such as partial shading conditions. It was observed that dragonfly algorithm outperforms incremental conductance method and improves system efficiency. The dragonfly algorithm also seems to have an upper hand over other conventional methods as well.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    A. Chitra, Arjun Manathara, Karthik Sivaramakrishnan & W. Razia Sultana

  2. Department of Electrical Engineering, National Institute of Technology Silchar, Silchar, India

    S. Sreejith

Authors
  1. A. Chitra
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  2. Arjun Manathara
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  3. Karthik Sivaramakrishnan
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  4. W. Razia Sultana
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  5. S. Sreejith
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Corresponding author

Correspondence to A. Chitra .

Editor information

Editors and Affiliations

  1. Department of Instrumentation, School of Electrical Engineering, Vellore Institute of Technology, Vellore, India

    Venkata Lakshmi Narayana Komanapalli

  2. Department of Instrumentation and Control Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, India

    N. Sivakumaran

  3. Electrical Power and Control Program, School of Electrical and Computing Engineering, Adama Science and Technology University, Adama, Ethiopia

    Santoshkumar Hampannavar

Appendix A: Technical Specifications of Solar Panel, Boost Converter and Partial Shading Patterns

Appendix A: Technical Specifications of Solar Panel, Boost Converter and Partial Shading Patterns

This model of PV system that is implemented in this project is the Kyocera KC200GT. The panel specifications are given Table 2 as follows:

Table 2 Solar panel specifications
Full size table

Solar Panel Specifications

The solar panel specifications are as follows.

Boost Converter Specifications

The boost converter specifications are as follows (Table 3).

Table 3 Boost converter specifications
Full size table

Partial Shading Specifications

Two solar panels are implemented with different irradiation values to simulate partial shading conditions:

  1. a.

    With irradiations 1000 and 800 (Fig. 9)

    Fig. 9
    figure 9

    PV curve—shading pattern 1

    Full size image
  2. b.

    With irradiations 800 and 600 (Fig. 10).

    Fig. 10
    figure 10

    PV curve—shading pattern 2

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Chitra, A., Manathara, A., Sivaramakrishnan, K., Razia Sultana, W., Sreejith, S. (2021). Performance Comparison of Conventional IC and Dragonfly-Based MPPT for Solar PV Systems Under Partial Shading Conditions. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_4

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  • DOI: https://doi.org/10.1007/978-981-15-8221-9_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8220-2

  • Online ISBN: 978-981-15-8221-9

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