A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid Against Unknown Noise
In this study, a novel blended state estimated adaptive controller is designed for voltage and current control of microgrid against unknown noise. The core feature of the microgrid (MG) is its ability to integrate more than one distributed energy resource into the main grid. The state of a microgrid...
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| Format: | Article |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8890801/ |
| _version_ | 1819174324043513856 |
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| author | Md. Shahin Munsi Abu Bakar Siddique Sajal K. Das Sanjoy Kumar Paul Md. Rabiul Islam Mohammad Ali Moni |
| author_facet | Md. Shahin Munsi Abu Bakar Siddique Sajal K. Das Sanjoy Kumar Paul Md. Rabiul Islam Mohammad Ali Moni |
| author_sort | Md. Shahin Munsi |
| collection | DOAJ |
| description | In this study, a novel blended state estimated adaptive controller is designed for voltage and current control of microgrid against unknown noise. The core feature of the microgrid (MG) is its ability to integrate more than one distributed energy resource into the main grid. The state of a microgrid may deteriorate due to many reasons, for example malicious cyber-attacks, disturbances, packet losses, etc. Therefore, it is necessary to achieve the true state of the system to enhance the control requirement and automation of the microgrid. To achieve the true state of a microgrid, this study proposes the use of an algorithm based on the unscented kalman filter (UKF). The proposed state estimator technique is developed using an unscented-transformation and sigma-points measurement technique capable of minimizing the mean and covariance of a nonlinear cost function to estimate the true state of a single-phase, three-phase single-source and three-phase multi-source microgrid system. The advantage of the proposed estimator over using extended kalman filter (EKF) is investigated in simulations. The results demonstrate that the use of the UKF estimator produces a superior estimation of the system compared with the use of the EKF. An adaptive PID controller is also developed and used in system conjunction with the estimator to regulate its voltage and current against the number of loads. Deviation in load parameters hamper the function of the MG system. The performance of the developed controller is also evaluated against number of loads. Results indicate the controller provides a more stable and high-tracking performance with the inclusion of the UKF in the system. |
| first_indexed | 2024-12-22T20:37:09Z |
| format | Article |
| id | doaj.art-4b0b73e5dce5448ea7f600cadc4d0a74 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T20:37:09Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-4b0b73e5dce5448ea7f600cadc4d0a742022-12-21T18:13:26ZengIEEEIEEE Access2169-35362019-01-01716197516199510.1109/ACCESS.2019.29514298890801A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid Against Unknown NoiseMd. Shahin Munsi0https://orcid.org/0000-0002-4629-9349Abu Bakar Siddique1https://orcid.org/0000-0002-9162-8789Sajal K. Das2Sanjoy Kumar Paul3Md. Rabiul Islam4https://orcid.org/0000-0003-3133-9333Mohammad Ali Moni5https://orcid.org/0000-0003-0756-1006Department of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi, BangladeshDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi, BangladeshDepartment of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi, BangladeshUTS Business School, University of Technology Sydney, Sydney, NSW, AustraliaSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, AustraliaFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, AustraliaIn this study, a novel blended state estimated adaptive controller is designed for voltage and current control of microgrid against unknown noise. The core feature of the microgrid (MG) is its ability to integrate more than one distributed energy resource into the main grid. The state of a microgrid may deteriorate due to many reasons, for example malicious cyber-attacks, disturbances, packet losses, etc. Therefore, it is necessary to achieve the true state of the system to enhance the control requirement and automation of the microgrid. To achieve the true state of a microgrid, this study proposes the use of an algorithm based on the unscented kalman filter (UKF). The proposed state estimator technique is developed using an unscented-transformation and sigma-points measurement technique capable of minimizing the mean and covariance of a nonlinear cost function to estimate the true state of a single-phase, three-phase single-source and three-phase multi-source microgrid system. The advantage of the proposed estimator over using extended kalman filter (EKF) is investigated in simulations. The results demonstrate that the use of the UKF estimator produces a superior estimation of the system compared with the use of the EKF. An adaptive PID controller is also developed and used in system conjunction with the estimator to regulate its voltage and current against the number of loads. Deviation in load parameters hamper the function of the MG system. The performance of the developed controller is also evaluated against number of loads. Results indicate the controller provides a more stable and high-tracking performance with the inclusion of the UKF in the system.https://ieeexplore.ieee.org/document/8890801/Microgridmodel reference adaptive controlstate estimationunscented kalman filtervoltage and current control |
| spellingShingle | Md. Shahin Munsi Abu Bakar Siddique Sajal K. Das Sanjoy Kumar Paul Md. Rabiul Islam Mohammad Ali Moni A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid Against Unknown Noise IEEE Access Microgrid model reference adaptive control state estimation unscented kalman filter voltage and current control |
| title | A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid Against Unknown Noise |
| title_full | A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid Against Unknown Noise |
| title_fullStr | A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid Against Unknown Noise |
| title_full_unstemmed | A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid Against Unknown Noise |
| title_short | A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid Against Unknown Noise |
| title_sort | novel blended state estimated adaptive controller for voltage and current control of microgrid against unknown noise |
| topic | Microgrid model reference adaptive control state estimation unscented kalman filter voltage and current control |
| url | https://ieeexplore.ieee.org/document/8890801/ |
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