Improving power system low-frequency oscillations damping based on multiple-model optimal control strategy using polynomial combination algorithm
In this paper, the damping of low-frequency oscillations (LFOs) in a power system containing Static VAR Compensator (SVC) is investigated based on Multiple-Model Linear Optimal Control (MMLOC) Strategy. The performance of MMLOC is enhanced using Polynomial Combination Algorithm (PCA). A linear optim...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723011393 |
| _version_ | 1797378676488142848 |
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| author | Elahe Pagard Shahrokh Shojaeian Mohammad Mahdi Rezaei |
| author_facet | Elahe Pagard Shahrokh Shojaeian Mohammad Mahdi Rezaei |
| author_sort | Elahe Pagard |
| collection | DOAJ |
| description | In this paper, the damping of low-frequency oscillations (LFOs) in a power system containing Static VAR Compensator (SVC) is investigated based on Multiple-Model Linear Optimal Control (MMLOC) Strategy. The performance of MMLOC is enhanced using Polynomial Combination Algorithm (PCA). A linear optimal controller (LOC) generates the optimal control signal with linearization the nonlinear state equations of the system and solving the Riccati equation. One LOC generates synchronized control signals for the synchronous generator excitation system as well as SVC. The LOC is assigned to generate each model’s control signal. The final control signal is made by interpolating the LOC output signals obtained from each model using PCA. Considering a three-phase symmetrical fault on a near bus to the generator, the proposed control strategy is evaluated. This strategy not only maintains stability but also reduces LFO effectively. Furthermore, steady state error of rotor speed and rotor angle tend to zero favorably. Simulations are done for single- and multi-machine power systems via a MATLAB m-code. |
| first_indexed | 2024-03-08T20:11:06Z |
| format | Article |
| id | doaj.art-5c19285af29143fcae531df7c7219c6f |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-08T20:11:06Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-5c19285af29143fcae531df7c7219c6f2023-12-23T05:21:19ZengElsevierEnergy Reports2352-48472023-11-011012281237Improving power system low-frequency oscillations damping based on multiple-model optimal control strategy using polynomial combination algorithmElahe Pagard0Shahrokh Shojaeian1Mohammad Mahdi Rezaei2Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr/Isfahan, P.O. Box 84175-119, IranCorresponding author.; Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr/Isfahan, P.O. Box 84175-119, IranDepartment of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr/Isfahan, P.O. Box 84175-119, IranIn this paper, the damping of low-frequency oscillations (LFOs) in a power system containing Static VAR Compensator (SVC) is investigated based on Multiple-Model Linear Optimal Control (MMLOC) Strategy. The performance of MMLOC is enhanced using Polynomial Combination Algorithm (PCA). A linear optimal controller (LOC) generates the optimal control signal with linearization the nonlinear state equations of the system and solving the Riccati equation. One LOC generates synchronized control signals for the synchronous generator excitation system as well as SVC. The LOC is assigned to generate each model’s control signal. The final control signal is made by interpolating the LOC output signals obtained from each model using PCA. Considering a three-phase symmetrical fault on a near bus to the generator, the proposed control strategy is evaluated. This strategy not only maintains stability but also reduces LFO effectively. Furthermore, steady state error of rotor speed and rotor angle tend to zero favorably. Simulations are done for single- and multi-machine power systems via a MATLAB m-code.http://www.sciencedirect.com/science/article/pii/S2352484723011393Power system stabilityLow frequency oscillationLinear optimal controlMulti-model controlPolynomial combination algorithm |
| spellingShingle | Elahe Pagard Shahrokh Shojaeian Mohammad Mahdi Rezaei Improving power system low-frequency oscillations damping based on multiple-model optimal control strategy using polynomial combination algorithm Energy Reports Power system stability Low frequency oscillation Linear optimal control Multi-model control Polynomial combination algorithm |
| title | Improving power system low-frequency oscillations damping based on multiple-model optimal control strategy using polynomial combination algorithm |
| title_full | Improving power system low-frequency oscillations damping based on multiple-model optimal control strategy using polynomial combination algorithm |
| title_fullStr | Improving power system low-frequency oscillations damping based on multiple-model optimal control strategy using polynomial combination algorithm |
| title_full_unstemmed | Improving power system low-frequency oscillations damping based on multiple-model optimal control strategy using polynomial combination algorithm |
| title_short | Improving power system low-frequency oscillations damping based on multiple-model optimal control strategy using polynomial combination algorithm |
| title_sort | improving power system low frequency oscillations damping based on multiple model optimal control strategy using polynomial combination algorithm |
| topic | Power system stability Low frequency oscillation Linear optimal control Multi-model control Polynomial combination algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723011393 |
| work_keys_str_mv | AT elahepagard improvingpowersystemlowfrequencyoscillationsdampingbasedonmultiplemodeloptimalcontrolstrategyusingpolynomialcombinationalgorithm AT shahrokhshojaeian improvingpowersystemlowfrequencyoscillationsdampingbasedonmultiplemodeloptimalcontrolstrategyusingpolynomialcombinationalgorithm AT mohammadmahdirezaei improvingpowersystemlowfrequencyoscillationsdampingbasedonmultiplemodeloptimalcontrolstrategyusingpolynomialcombinationalgorithm |