Maximizing Energy Output of Photovoltaic Systems: Hybrid PSO-GWO-CS Optimization Approach
Photovoltaic (PV) systems suffer from partial shade and nonuniform irradiance conditions. Meanwhile, each PV module has a bypass shunt diode (BSD) to prevent hotspots. BSD also causes a series of a peak in the power-voltage characteristics of the PV array, trapping traditional maximum Power Point T...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
middle technical university
2023-09-01
|
| Series: | Journal of Techniques |
| Subjects: | |
| Online Access: | https://journal.mtu.edu.iq/index.php/MTU/article/view/1312 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832595093527199744 |
|---|---|
| author | Hassan S. Ahmed Ahmed J. Abid Adel A. Obed Ameer L. Saleh Reheel J. Hassoon |
| author_facet | Hassan S. Ahmed Ahmed J. Abid Adel A. Obed Ameer L. Saleh Reheel J. Hassoon |
| author_sort | Hassan S. Ahmed |
| collection | DOAJ |
| description |
Photovoltaic (PV) systems suffer from partial shade and nonuniform irradiance conditions. Meanwhile, each PV module has a bypass shunt diode (BSD) to prevent hotspots. BSD also causes a series of a peak in the power-voltage characteristics of the PV array, trapping traditional maximum Power Point Tracking (MPPT) methods in local peaks. This study aims to address these challenges by combining cuckoo search (CS), gray wolf optimization (GWO), and particle swarm optimization (PSO) to enhance MPPT performance. The results compared the yield power by Tracking the MPP using only GWO, CS, or PSO MPPT techniques and combining them. Results show that in four cases: in case 1) Uniform Irradiation in three patterns (High, Medium, and Low), In case 2) Fixed Nonuniform Irradiation, While In case 3) Slow Dynamic Nonuniform Irradiation and case 4) ) Fast Dynamic nonuniform irradiation. The efficiency (PSO + CS) 97.86%, (PSO + GWO) 97.74%, and (GWO + CS) 98.55% were the highest performers in the case 1 results in (high, medium, and low), respectively. In Case 2, the efficiency (GWO + CS) is 98.62%, and it operates more effectively under fixed nonuniform irradiance. It has the highest efficiency in both Cases 3 and 4, even though its respective PSO + GWO efficiencies are 97.45% and 97.26%. Based on these results, a hybrid mode of merging algorithms based on weather radiation conditions is proposed.
|
| format | Article |
| id | doaj-art-0cdf010b1ad542e9aacdb33238061118 |
| institution | Kabale University |
| issn | 1818-653X 2708-8383 |
| language | English |
| publishDate | 2023-09-01 |
| publisher | middle technical university |
| record_format | Article |
| series | Journal of Techniques |
| spelling | doaj-art-0cdf010b1ad542e9aacdb332380611182025-01-19T10:59:05Zengmiddle technical universityJournal of Techniques1818-653X2708-83832023-09-015310.51173/jt.v5i3.1312Maximizing Energy Output of Photovoltaic Systems: Hybrid PSO-GWO-CS Optimization ApproachHassan S. Ahmed0Ahmed J. Abid1Adel A. Obed2Ameer L. Saleh3Reheel J. Hassoon4Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.Budapest University of Technology and Economics, Egry József utca 18, H-1111 Budapest, HungaryElectrical and Computer Engineering, AltainbaŞ University, Mahmutbey Dilmenler Cad. No: 26 D.Blok 34217 Bağcılar, İstanbul, Turkey Photovoltaic (PV) systems suffer from partial shade and nonuniform irradiance conditions. Meanwhile, each PV module has a bypass shunt diode (BSD) to prevent hotspots. BSD also causes a series of a peak in the power-voltage characteristics of the PV array, trapping traditional maximum Power Point Tracking (MPPT) methods in local peaks. This study aims to address these challenges by combining cuckoo search (CS), gray wolf optimization (GWO), and particle swarm optimization (PSO) to enhance MPPT performance. The results compared the yield power by Tracking the MPP using only GWO, CS, or PSO MPPT techniques and combining them. Results show that in four cases: in case 1) Uniform Irradiation in three patterns (High, Medium, and Low), In case 2) Fixed Nonuniform Irradiation, While In case 3) Slow Dynamic Nonuniform Irradiation and case 4) ) Fast Dynamic nonuniform irradiation. The efficiency (PSO + CS) 97.86%, (PSO + GWO) 97.74%, and (GWO + CS) 98.55% were the highest performers in the case 1 results in (high, medium, and low), respectively. In Case 2, the efficiency (GWO + CS) is 98.62%, and it operates more effectively under fixed nonuniform irradiance. It has the highest efficiency in both Cases 3 and 4, even though its respective PSO + GWO efficiencies are 97.45% and 97.26%. Based on these results, a hybrid mode of merging algorithms based on weather radiation conditions is proposed. https://journal.mtu.edu.iq/index.php/MTU/article/view/1312Hybrid OptimizationMaximum Power Point TrackingPhotovoltaic SystemPartial Shading ConditionCuckoo SearchGrey Wolf Optimization |
| spellingShingle | Hassan S. Ahmed Ahmed J. Abid Adel A. Obed Ameer L. Saleh Reheel J. Hassoon Maximizing Energy Output of Photovoltaic Systems: Hybrid PSO-GWO-CS Optimization Approach Journal of Techniques Hybrid Optimization Maximum Power Point Tracking Photovoltaic System Partial Shading Condition Cuckoo Search Grey Wolf Optimization |
| title | Maximizing Energy Output of Photovoltaic Systems: Hybrid PSO-GWO-CS Optimization Approach |
| title_full | Maximizing Energy Output of Photovoltaic Systems: Hybrid PSO-GWO-CS Optimization Approach |
| title_fullStr | Maximizing Energy Output of Photovoltaic Systems: Hybrid PSO-GWO-CS Optimization Approach |
| title_full_unstemmed | Maximizing Energy Output of Photovoltaic Systems: Hybrid PSO-GWO-CS Optimization Approach |
| title_short | Maximizing Energy Output of Photovoltaic Systems: Hybrid PSO-GWO-CS Optimization Approach |
| title_sort | maximizing energy output of photovoltaic systems hybrid pso gwo cs optimization approach |
| topic | Hybrid Optimization Maximum Power Point Tracking Photovoltaic System Partial Shading Condition Cuckoo Search Grey Wolf Optimization |
| url | https://journal.mtu.edu.iq/index.php/MTU/article/view/1312 |
| work_keys_str_mv | AT hassansahmed maximizingenergyoutputofphotovoltaicsystemshybridpsogwocsoptimizationapproach AT ahmedjabid maximizingenergyoutputofphotovoltaicsystemshybridpsogwocsoptimizationapproach AT adelaobed maximizingenergyoutputofphotovoltaicsystemshybridpsogwocsoptimizationapproach AT ameerlsaleh maximizingenergyoutputofphotovoltaicsystemshybridpsogwocsoptimizationapproach AT reheeljhassoon maximizingenergyoutputofphotovoltaicsystemshybridpsogwocsoptimizationapproach |