An Intelligent Frequency Control Scheme for Inverting Station in High Voltage Direct Current Transmission System
ABSTRACT Power system stability is crucial for the reliable and efficient operation of electrical grids. One of the key factors affecting power system stability is the frequency of the alternating current (AC) system while connected with High Voltage Direct Current (HVDC) transmission system. Change...
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| Format: | Article |
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Wiley
2025-01-01
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| Series: | Engineering Reports |
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| Online Access: | https://doi.org/10.1002/eng2.13106 |
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| author | Saleem Muhammad Amir Raza Syed Waqar Umer Muhammad Faheem Touqeer Ahmed Jumani Muhammad Yameen |
| author_facet | Saleem Muhammad Amir Raza Syed Waqar Umer Muhammad Faheem Touqeer Ahmed Jumani Muhammad Yameen |
| author_sort | Saleem |
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| description | ABSTRACT Power system stability is crucial for the reliable and efficient operation of electrical grids. One of the key factors affecting power system stability is the frequency of the alternating current (AC) system while connected with High Voltage Direct Current (HVDC) transmission system. Changes in load demand can lead to frequency deviations, which can have detrimental effects on the stability and performance of the power system. Frequency should therefore be controlled within predefined limits in order to prevent unexpected disturbances that may cause problems to connected loads or even cause the entire system to fail. A broad simulation model of the HVDC transmission system is developed using MATLAB software to evaluate the effectiveness of the proposed controllers such as Adaptive Neuro‐Fuzzy Inference System (ANFIS), Artificial Neural Network (ANN), and optimization of Proportional‐Integral‐Derivative (PID) controller using Particle Swarm Optimization (PSO) based control strategy for addressing the frequency instability problems. To assess how well the ANFIS, ANN, and PID‐PSO controller controls frequency in HVDC transmission system, several situations were simulated, including load disturbances and changes in operational circumstances. The result reveals that the ANN controller performs more accurate results in HVDC transmission system than the other proposed control and, displaying its capacity to successfully reduce frequency deviations and maintained a controlled frequency 50 Hz. Adopted method suggested the easy integration of HVDC with AC grid and enhances the system power quality and stability. |
| format | Article |
| id | doaj-art-6137ac0b5c9d4d6d98a6996ccb9f92d2 |
| institution | Kabale University |
| issn | 2577-8196 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
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| series | Engineering Reports |
| spelling | doaj-art-6137ac0b5c9d4d6d98a6996ccb9f92d22025-01-31T00:22:49ZengWileyEngineering Reports2577-81962025-01-0171n/an/a10.1002/eng2.13106An Intelligent Frequency Control Scheme for Inverting Station in High Voltage Direct Current Transmission SystemSaleem0Muhammad Amir Raza1Syed Waqar Umer2Muhammad Faheem3Touqeer Ahmed Jumani4Muhammad Yameen5Department of Electrical Engineering Mehran University of Engineering and Technology Khairpur Sindh PakistanDepartment of Electrical Engineering Mehran University of Engineering and Technology Khairpur Sindh PakistanDepartment of Electrical Engineering Mehran University of Engineering and Technology Khairpur Sindh PakistanSchool of Technology and Innovations University of Vaasa Vaasa FinlandCollege of Engineering Sharqiyah University Ibra OmanDepartment of Electrical Engineering Mehran University of Engineering and Technology Khairpur Sindh PakistanABSTRACT Power system stability is crucial for the reliable and efficient operation of electrical grids. One of the key factors affecting power system stability is the frequency of the alternating current (AC) system while connected with High Voltage Direct Current (HVDC) transmission system. Changes in load demand can lead to frequency deviations, which can have detrimental effects on the stability and performance of the power system. Frequency should therefore be controlled within predefined limits in order to prevent unexpected disturbances that may cause problems to connected loads or even cause the entire system to fail. A broad simulation model of the HVDC transmission system is developed using MATLAB software to evaluate the effectiveness of the proposed controllers such as Adaptive Neuro‐Fuzzy Inference System (ANFIS), Artificial Neural Network (ANN), and optimization of Proportional‐Integral‐Derivative (PID) controller using Particle Swarm Optimization (PSO) based control strategy for addressing the frequency instability problems. To assess how well the ANFIS, ANN, and PID‐PSO controller controls frequency in HVDC transmission system, several situations were simulated, including load disturbances and changes in operational circumstances. The result reveals that the ANN controller performs more accurate results in HVDC transmission system than the other proposed control and, displaying its capacity to successfully reduce frequency deviations and maintained a controlled frequency 50 Hz. Adopted method suggested the easy integration of HVDC with AC grid and enhances the system power quality and stability.https://doi.org/10.1002/eng2.13106artificial intelligenceartificial neural networkfrequency controlHVDCmachine learningpower system stability |
| spellingShingle | Saleem Muhammad Amir Raza Syed Waqar Umer Muhammad Faheem Touqeer Ahmed Jumani Muhammad Yameen An Intelligent Frequency Control Scheme for Inverting Station in High Voltage Direct Current Transmission System Engineering Reports artificial intelligence artificial neural network frequency control HVDC machine learning power system stability |
| title | An Intelligent Frequency Control Scheme for Inverting Station in High Voltage Direct Current Transmission System |
| title_full | An Intelligent Frequency Control Scheme for Inverting Station in High Voltage Direct Current Transmission System |
| title_fullStr | An Intelligent Frequency Control Scheme for Inverting Station in High Voltage Direct Current Transmission System |
| title_full_unstemmed | An Intelligent Frequency Control Scheme for Inverting Station in High Voltage Direct Current Transmission System |
| title_short | An Intelligent Frequency Control Scheme for Inverting Station in High Voltage Direct Current Transmission System |
| title_sort | intelligent frequency control scheme for inverting station in high voltage direct current transmission system |
| topic | artificial intelligence artificial neural network frequency control HVDC machine learning power system stability |
| url | https://doi.org/10.1002/eng2.13106 |
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