Optimal voltage and frequency control strategy for renewable-dominated deregulated power network
Abstract Maintaining stable voltage and frequency regulation is critical for modern power systems, particularly with the integration of renewable energy sources. This study proposes a coordinated control strategy for voltage and frequency in a deregulated power system comprising six Generation Compa...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-84549-z |
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| author | Vineet Kumar Sumit Sharma Vineet Kumar Sachin Sharma Ark Dev |
| author_facet | Vineet Kumar Sumit Sharma Vineet Kumar Sachin Sharma Ark Dev |
| author_sort | Vineet Kumar |
| collection | DOAJ |
| description | Abstract Maintaining stable voltage and frequency regulation is critical for modern power systems, particularly with the integration of renewable energy sources. This study proposes a coordinated control strategy for voltage and frequency in a deregulated power system comprising six Generation Companies (GENCOs) and six Distribution Companies (DISCOs). The system integrates thermal, diesel, wind, solar photovoltaic (PV), and hydroelectric sources. Two stochastic modeling techniques are used to characterize wind and solar generation, accounting for their variability within the control loops. A novel Leader Harris Hawks Optimization-based Model Predictive Controller (MPC-LHHO) is implemented, achieving a reduction in frequency deviation undershoot by 67.45% and voltage settling time by 91.11% compared to conventional controllers under poolco and bilateral transactions. Auxiliary devices, including the Unified Power Flow Controller (UPFC) and grid-connected electric vehicles (EVs), further enhance performance, reducing frequency deviations by 52.18% under stochastic scenarios. Rigorous evaluation under contract violations, random load variations, and renewable intermittency demonstrates the strategy’s robustness and efficacy. |
| format | Article |
| id | doaj-art-4ef7f1b645c2463b8d1e60babf1c12dc |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-4ef7f1b645c2463b8d1e60babf1c12dc2025-01-05T12:16:09ZengNature PortfolioScientific Reports2045-23222025-01-0115111610.1038/s41598-024-84549-zOptimal voltage and frequency control strategy for renewable-dominated deregulated power networkVineet Kumar0Sumit Sharma1Vineet Kumar2Sachin Sharma3Ark Dev4Department of Electrical and Electronics Engineering, Madanapalle Institute of Technology and ScienceKIET Group of Institutions GhaziabadParul Institute of Engineering and Technology, Parul UniversityElectrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher EducationParul Institute of Engineering and Technology, Parul UniversityAbstract Maintaining stable voltage and frequency regulation is critical for modern power systems, particularly with the integration of renewable energy sources. This study proposes a coordinated control strategy for voltage and frequency in a deregulated power system comprising six Generation Companies (GENCOs) and six Distribution Companies (DISCOs). The system integrates thermal, diesel, wind, solar photovoltaic (PV), and hydroelectric sources. Two stochastic modeling techniques are used to characterize wind and solar generation, accounting for their variability within the control loops. A novel Leader Harris Hawks Optimization-based Model Predictive Controller (MPC-LHHO) is implemented, achieving a reduction in frequency deviation undershoot by 67.45% and voltage settling time by 91.11% compared to conventional controllers under poolco and bilateral transactions. Auxiliary devices, including the Unified Power Flow Controller (UPFC) and grid-connected electric vehicles (EVs), further enhance performance, reducing frequency deviations by 52.18% under stochastic scenarios. Rigorous evaluation under contract violations, random load variations, and renewable intermittency demonstrates the strategy’s robustness and efficacy.https://doi.org/10.1038/s41598-024-84549-zStochastic generationRandom loadingDeregulated power systemVoltage regulationFrequency management |
| spellingShingle | Vineet Kumar Sumit Sharma Vineet Kumar Sachin Sharma Ark Dev Optimal voltage and frequency control strategy for renewable-dominated deregulated power network Scientific Reports Stochastic generation Random loading Deregulated power system Voltage regulation Frequency management |
| title | Optimal voltage and frequency control strategy for renewable-dominated deregulated power network |
| title_full | Optimal voltage and frequency control strategy for renewable-dominated deregulated power network |
| title_fullStr | Optimal voltage and frequency control strategy for renewable-dominated deregulated power network |
| title_full_unstemmed | Optimal voltage and frequency control strategy for renewable-dominated deregulated power network |
| title_short | Optimal voltage and frequency control strategy for renewable-dominated deregulated power network |
| title_sort | optimal voltage and frequency control strategy for renewable dominated deregulated power network |
| topic | Stochastic generation Random loading Deregulated power system Voltage regulation Frequency management |
| url | https://doi.org/10.1038/s41598-024-84549-z |
| work_keys_str_mv | AT vineetkumar optimalvoltageandfrequencycontrolstrategyforrenewabledominatedderegulatedpowernetwork AT sumitsharma optimalvoltageandfrequencycontrolstrategyforrenewabledominatedderegulatedpowernetwork AT vineetkumar optimalvoltageandfrequencycontrolstrategyforrenewabledominatedderegulatedpowernetwork AT sachinsharma optimalvoltageandfrequencycontrolstrategyforrenewabledominatedderegulatedpowernetwork AT arkdev optimalvoltageandfrequencycontrolstrategyforrenewabledominatedderegulatedpowernetwork |