An MPPT method using phasor particle swarm optimization for PV‐based generation system under varying irradiance conditions
Abstract The dependency of photovoltaic (PV) systems‐based generation systems on constantly varying temperatures and incident sunlight affect the non‐linear behaviour of PV panels. Therefore, tracking the maximum power output of the PV panels for efficient utilization becomes a challenge, resulting...
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| Format: | Article |
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Wiley
2024-12-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.13158 |
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| author | Injila Sajid Adil Sarwar Mohd Tariq Shafiq Ahmad Farhad Ilahi Bakhsh Adamali Shah Noor Mohamed Md. Rasidul Islam |
| author_facet | Injila Sajid Adil Sarwar Mohd Tariq Shafiq Ahmad Farhad Ilahi Bakhsh Adamali Shah Noor Mohamed Md. Rasidul Islam |
| author_sort | Injila Sajid |
| collection | DOAJ |
| description | Abstract The dependency of photovoltaic (PV) systems‐based generation systems on constantly varying temperatures and incident sunlight affect the non‐linear behaviour of PV panels. Therefore, tracking the maximum power output of the PV panels for efficient utilization becomes a challenge, resulting in power losses and the creation of intense heating spots in the shaded areas of the PV modules when the PV modules receive varying degrees of insolation, that is, under partial shading conditions (PSCs). The inclusion of bypass diodes in parallel to each PV module mitigates this problem to an extent but leads to the formation of several peaks in the P‐V characteristics. As a result, maximum power point tracking (MPPT) to deliver maximum power at the load becomes a limitation for conventional optimization algorithms as they are normally based on hill climbing algorithm and get stuck at local maxima of the P‐V curve. Therefore, metaheuristic algorithms are used thereby eliminating the possibility of getting trapped at the local optima. However, particle swarm optimization (PSO) suffers from delayed convergence, more iterations to reach the optimal point, and random parameter selection. Hence, this study employs an improved version of PSO called Phasor‐PSO (P‐PSO) in an MPPT controller. The proposed algorithm is parameter‐less which results in reduced computational complexity and thus provides quick decision in achieving the maximum power point (MPP). The hardware‐in‐loop real‐time analysis demonstrates the supremacy of P‐PSO over PSO in faster convergence, higher efficiency, and reduced power losses during tracking under various PSCs. The P‐PSO based MPPT method will find application in grid connected and stand‐alone solar PV system with better efficiency of power transfer. |
| format | Article |
| id | doaj-art-0f87b972b1e948f1aefaa348fd527f84 |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-0f87b972b1e948f1aefaa348fd527f842025-01-30T12:15:54ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118164197420910.1049/rpg2.13158An MPPT method using phasor particle swarm optimization for PV‐based generation system under varying irradiance conditionsInjila Sajid0Adil Sarwar1Mohd Tariq2Shafiq Ahmad3Farhad Ilahi Bakhsh4Adamali Shah Noor Mohamed5Md. Rasidul Islam6Department of Electrical Engineering Zakir Hussain College of Engineering and Technology, Aligarh Muslim University Aligarh IndiaDepartment of Electrical Engineering Zakir Hussain College of Engineering and Technology, Aligarh Muslim University Aligarh IndiaDepartment of Electrical and Computer Engineering Florida International University Miami Florida USAIndustrial Engineering Department College of Engineering, King Saud University Riyadh Saudi ArabiaDepartment of Electrical Engineering National Institute of Technology Srinagar Srinagar Jammu and Kashmir IndiaElectrical Engineering Department College of Engineering, King Saud University Riyadh Saudi ArabiaDepartment of Electrical and Electronic Engineering Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University Jamalpur BangladeshAbstract The dependency of photovoltaic (PV) systems‐based generation systems on constantly varying temperatures and incident sunlight affect the non‐linear behaviour of PV panels. Therefore, tracking the maximum power output of the PV panels for efficient utilization becomes a challenge, resulting in power losses and the creation of intense heating spots in the shaded areas of the PV modules when the PV modules receive varying degrees of insolation, that is, under partial shading conditions (PSCs). The inclusion of bypass diodes in parallel to each PV module mitigates this problem to an extent but leads to the formation of several peaks in the P‐V characteristics. As a result, maximum power point tracking (MPPT) to deliver maximum power at the load becomes a limitation for conventional optimization algorithms as they are normally based on hill climbing algorithm and get stuck at local maxima of the P‐V curve. Therefore, metaheuristic algorithms are used thereby eliminating the possibility of getting trapped at the local optima. However, particle swarm optimization (PSO) suffers from delayed convergence, more iterations to reach the optimal point, and random parameter selection. Hence, this study employs an improved version of PSO called Phasor‐PSO (P‐PSO) in an MPPT controller. The proposed algorithm is parameter‐less which results in reduced computational complexity and thus provides quick decision in achieving the maximum power point (MPP). The hardware‐in‐loop real‐time analysis demonstrates the supremacy of P‐PSO over PSO in faster convergence, higher efficiency, and reduced power losses during tracking under various PSCs. The P‐PSO based MPPT method will find application in grid connected and stand‐alone solar PV system with better efficiency of power transfer.https://doi.org/10.1049/rpg2.13158maximum power point trackersparticle swarm optimisationsolar photovoltaic systems |
| spellingShingle | Injila Sajid Adil Sarwar Mohd Tariq Shafiq Ahmad Farhad Ilahi Bakhsh Adamali Shah Noor Mohamed Md. Rasidul Islam An MPPT method using phasor particle swarm optimization for PV‐based generation system under varying irradiance conditions IET Renewable Power Generation maximum power point trackers particle swarm optimisation solar photovoltaic systems |
| title | An MPPT method using phasor particle swarm optimization for PV‐based generation system under varying irradiance conditions |
| title_full | An MPPT method using phasor particle swarm optimization for PV‐based generation system under varying irradiance conditions |
| title_fullStr | An MPPT method using phasor particle swarm optimization for PV‐based generation system under varying irradiance conditions |
| title_full_unstemmed | An MPPT method using phasor particle swarm optimization for PV‐based generation system under varying irradiance conditions |
| title_short | An MPPT method using phasor particle swarm optimization for PV‐based generation system under varying irradiance conditions |
| title_sort | mppt method using phasor particle swarm optimization for pv based generation system under varying irradiance conditions |
| topic | maximum power point trackers particle swarm optimisation solar photovoltaic systems |
| url | https://doi.org/10.1049/rpg2.13158 |
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