A REFINED PSO BASED APPROACH TO MPPT FOR STAND ALONE PV SYSTEM

This paper presents a control method that plays an important role in ensuring that power output aligns with maximum capacity. Many tracking algorithms are required for this application. Incremental conductance is used often, particularly with more difficult calculations. This paper introduces a new improved particle swarm optimisation (IPSO-based) MPPT technique for photovoltaic systems. This original approach, which used a stepwise approach to assign values to the weighting factors and cognitive and social parameters, has been modified. The MPPT control scheme proposed intends to fix the IPSO-based MPPT algorithm’s inherent flaw, as well as bring about a reduction in the variances. It’s capable of finding and identifying the maximum power point under nonuniform insolation.The Photovoltaic Systematic Process is simulated using the Simulink programme along with various control schemes. After this simulation, the results are compared to the conventional incremental conductance technique. To test the validity of previously studied methods, the previous research is used. The resulting MPPT maximisation is extraordinary when insolation and temperature change has affected a portrait. This is proof that using the intended method results in the best possible outcome.

Authors

Publication Details

Journal
Suranaree Journal of Science and Technology
Published
2025-04-28
DOI
https://doi.org/10.55766/sujst5755
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

A REFINED PSO BASED APPROACH TO MPPT FOR STAND ALONE PV SYSTEM

Babita Panda, Sampurna Panda, Rakesh Kumar
Suranaree Journal of Science and Technology
Parallel Computing and Optimization Techniques
article

A REFINED PSO BASED APPROACH TO MPPT FOR STAND ALONE PV SYSTEM

Babita Panda, Sampurna Panda, Rakesh Kumar
article en

Abstract

This paper presents a control method that plays an important role in ensuring that power output aligns with maximum capacity. Many tracking algorithms are required for this application. Incremental conductance is used often, particularly with more difficult calculations. This paper introduces a new improved particle swarm optimisation (IPSO-based) MPPT technique for photovoltaic systems. This original approach, which used a stepwise approach to assign values to the weighting factors and cognitive and social parameters, has been modified. The MPPT control scheme proposed intends to fix the IPSO-based MPPT algorithm’s inherent flaw, as well as bring about a reduction in the variances. It’s capable of finding and identifying the maximum power point under nonuniform insolation.The Photovoltaic Systematic Process is simulated using the Simulink programme along with various control schemes. After this simulation, the results are compared to the conventional incremental conductance technique. To test the validity of previously studied methods, the previous research is used. The resulting MPPT maximisation is extraordinary when insolation and temperature change has affected a portrait. This is proof that using the intended method results in the best possible outcome.

Suranaree Journal of Science and TechnologyVol. 32(2)
Openalex Percentile: Top 82%
Parallel Computing and Optimization Techniques
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