Addressing power quality challenges in hybrid renewable energy systems through STATCOM devices and advanced gray wolf optimization technique
This research proposes an intelligent technique designed to optimize the power quality of grid-connected hybrid power systems that use both solar photovoltaic and wind energy. Regrettably, these hybrid systems are liable to the damaging environmental results of weather gusts, which could lessen aver...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
|
| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025004852 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850249752585699328 |
|---|---|
| author | Muhammed F. Alwaeli Sadjad Galvani Vahid Talavat |
| author_facet | Muhammed F. Alwaeli Sadjad Galvani Vahid Talavat |
| author_sort | Muhammed F. Alwaeli |
| collection | DOAJ |
| description | This research proposes an intelligent technique designed to optimize the power quality of grid-connected hybrid power systems that use both solar photovoltaic and wind energy. Regrettably, these hybrid systems are liable to the damaging environmental results of weather gusts, which could lessen average system efficiency. Moreover, several faults, such as three-phase faults and voltage fluctuations on the point of common coupling (PCC), can adversely affect system balance. To address those challenges, Static Synchronous Compensators (STATCOMs) are employed to enhance the integration of renewable energy sources (RESs) by providing vital reactive energy support. This examination additionally highlights the importance of advanced optimization techniques for tuning controllers, given the complexity of hybrid systems. The proposed observation indicates the application of a grey wolf optimization (GWO) primarily based on the multi-objective function. This algorithm acts to improve control parameters, thus increasing the system's reliability. The developed strategy is presented in several processes. Scenario 1 shows the system's capability to stabilise at 1 pu during voltage and current swell and sag. Scenario 2 highlights effective reactive power generation during renewable energy source penetration, while Scenario 3 demonstrates improved power quality with unbalanced non-linear loads. Lastly, Scenario 4 confirms that PCC stability is maintained between 0.92 and 0.97 pu during three-phase faults. Through tests, simulation results confirm the improvement of both current, voltage and Total Harmonic Distortion (THD) and reveal the efficiency of the proposed controller in supporting fast dynamic response. Thus, the activity of the proposed system has been verified through tests with the GWO strategy. |
| format | Article |
| id | doaj-art-82e362afbdba437fa0b9e392c250c770 |
| institution | OA Journals |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-82e362afbdba437fa0b9e392c250c7702025-08-20T01:58:27ZengElsevierResults in Engineering2590-12302025-03-012510440510.1016/j.rineng.2025.104405Addressing power quality challenges in hybrid renewable energy systems through STATCOM devices and advanced gray wolf optimization techniqueMuhammed F. Alwaeli0Sadjad Galvani1Vahid Talavat2Corresponding author.; Faculty of Electrical and Computer Engineering, Urmia University, Urmia, IranFaculty of Electrical and Computer Engineering, Urmia University, Urmia, IranFaculty of Electrical and Computer Engineering, Urmia University, Urmia, IranThis research proposes an intelligent technique designed to optimize the power quality of grid-connected hybrid power systems that use both solar photovoltaic and wind energy. Regrettably, these hybrid systems are liable to the damaging environmental results of weather gusts, which could lessen average system efficiency. Moreover, several faults, such as three-phase faults and voltage fluctuations on the point of common coupling (PCC), can adversely affect system balance. To address those challenges, Static Synchronous Compensators (STATCOMs) are employed to enhance the integration of renewable energy sources (RESs) by providing vital reactive energy support. This examination additionally highlights the importance of advanced optimization techniques for tuning controllers, given the complexity of hybrid systems. The proposed observation indicates the application of a grey wolf optimization (GWO) primarily based on the multi-objective function. This algorithm acts to improve control parameters, thus increasing the system's reliability. The developed strategy is presented in several processes. Scenario 1 shows the system's capability to stabilise at 1 pu during voltage and current swell and sag. Scenario 2 highlights effective reactive power generation during renewable energy source penetration, while Scenario 3 demonstrates improved power quality with unbalanced non-linear loads. Lastly, Scenario 4 confirms that PCC stability is maintained between 0.92 and 0.97 pu during three-phase faults. Through tests, simulation results confirm the improvement of both current, voltage and Total Harmonic Distortion (THD) and reveal the efficiency of the proposed controller in supporting fast dynamic response. Thus, the activity of the proposed system has been verified through tests with the GWO strategy.http://www.sciencedirect.com/science/article/pii/S2590123025004852Hybrid energy resource systems (HRES)STATCOMGrey wolf optimization (GWO)Power quality (PQ)Voltage stabilityReactive power regulation |
| spellingShingle | Muhammed F. Alwaeli Sadjad Galvani Vahid Talavat Addressing power quality challenges in hybrid renewable energy systems through STATCOM devices and advanced gray wolf optimization technique Results in Engineering Hybrid energy resource systems (HRES) STATCOM Grey wolf optimization (GWO) Power quality (PQ) Voltage stability Reactive power regulation |
| title | Addressing power quality challenges in hybrid renewable energy systems through STATCOM devices and advanced gray wolf optimization technique |
| title_full | Addressing power quality challenges in hybrid renewable energy systems through STATCOM devices and advanced gray wolf optimization technique |
| title_fullStr | Addressing power quality challenges in hybrid renewable energy systems through STATCOM devices and advanced gray wolf optimization technique |
| title_full_unstemmed | Addressing power quality challenges in hybrid renewable energy systems through STATCOM devices and advanced gray wolf optimization technique |
| title_short | Addressing power quality challenges in hybrid renewable energy systems through STATCOM devices and advanced gray wolf optimization technique |
| title_sort | addressing power quality challenges in hybrid renewable energy systems through statcom devices and advanced gray wolf optimization technique |
| topic | Hybrid energy resource systems (HRES) STATCOM Grey wolf optimization (GWO) Power quality (PQ) Voltage stability Reactive power regulation |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025004852 |
| work_keys_str_mv | AT muhammedfalwaeli addressingpowerqualitychallengesinhybridrenewableenergysystemsthroughstatcomdevicesandadvancedgraywolfoptimizationtechnique AT sadjadgalvani addressingpowerqualitychallengesinhybridrenewableenergysystemsthroughstatcomdevicesandadvancedgraywolfoptimizationtechnique AT vahidtalavat addressingpowerqualitychallengesinhybridrenewableenergysystemsthroughstatcomdevicesandadvancedgraywolfoptimizationtechnique |