Optimal selection of LQR parameter using AIS for LFC in a multi-area power system
This paper proposes a method to optimize the parameter of the linear quadratic regulator (LQR) using artificial immune system (AIS) via clonal selection. The parameters of LQR utilized in this paper are the weighting matrices Q and R. The optimal LQR control for load frequency control (LFC) is insta...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Indonesian Institute of Sciences
2016-12-01
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| Series: | Journal of Mechatronics, Electrical Power, and Vehicular Technology |
| Subjects: | |
| Online Access: | https://mev.lipi.go.id/mev/article/view/301 |
| _version_ | 1818332602151469056 |
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| author | Muhammad Abdillah Herlambang Setiadi Adelhard Beni Reihara Karar Mahmoud Imam Wahyudi Farid Adi Soeprijanto |
| author_facet | Muhammad Abdillah Herlambang Setiadi Adelhard Beni Reihara Karar Mahmoud Imam Wahyudi Farid Adi Soeprijanto |
| author_sort | Muhammad Abdillah |
| collection | DOAJ |
| description | This paper proposes a method to optimize the parameter of the linear quadratic regulator (LQR) using artificial immune system (AIS) via clonal selection. The parameters of LQR utilized in this paper are the weighting matrices Q and R. The optimal LQR control for load frequency control (LFC) is installed on each area as a decentralized control scheme. The aim of this control design is to improve the dynamic performance of LFC automatically when unexpected load change occurred on power system network. The change of load demands 0.01 p.u used as a disturbance is applied to LFC in Area 1. The proposed method guarantees the stability of the overall closed-loop system. The simulation result shows that the proposed method can reduce the overshoot of the system and compress the time response to steady-state which is better compared to trial error method (TEM) and without optimal LQR control. |
| first_indexed | 2024-12-13T13:38:21Z |
| format | Article |
| id | doaj.art-256eeff2067d4ac28d8ec4d94f132a30 |
| institution | Directory Open Access Journal |
| issn | 2087-3379 2088-6985 |
| language | English |
| last_indexed | 2024-12-13T13:38:21Z |
| publishDate | 2016-12-01 |
| publisher | Indonesian Institute of Sciences |
| record_format | Article |
| series | Journal of Mechatronics, Electrical Power, and Vehicular Technology |
| spelling | doaj.art-256eeff2067d4ac28d8ec4d94f132a302022-12-21T23:43:40ZengIndonesian Institute of SciencesJournal of Mechatronics, Electrical Power, and Vehicular Technology2087-33792088-69852016-12-01729310410.14203/j.mev.2016.v7.93-104168Optimal selection of LQR parameter using AIS for LFC in a multi-area power systemMuhammad Abdillah0Herlambang Setiadi1Adelhard Beni Reihara2Karar Mahmoud3Imam Wahyudi Farid4Adi Soeprijanto5Hiroshima UniversityUniversity of BhayangkaraUniversity of PapuaAswan UniversityHiroshima UniversityInstitut Teknologi Sepuluh NopemberThis paper proposes a method to optimize the parameter of the linear quadratic regulator (LQR) using artificial immune system (AIS) via clonal selection. The parameters of LQR utilized in this paper are the weighting matrices Q and R. The optimal LQR control for load frequency control (LFC) is installed on each area as a decentralized control scheme. The aim of this control design is to improve the dynamic performance of LFC automatically when unexpected load change occurred on power system network. The change of load demands 0.01 p.u used as a disturbance is applied to LFC in Area 1. The proposed method guarantees the stability of the overall closed-loop system. The simulation result shows that the proposed method can reduce the overshoot of the system and compress the time response to steady-state which is better compared to trial error method (TEM) and without optimal LQR control.https://mev.lipi.go.id/mev/article/view/301linear quadratic regulator (lqr)artificial immune systemclonal selectionload frequency control (lfc) |
| spellingShingle | Muhammad Abdillah Herlambang Setiadi Adelhard Beni Reihara Karar Mahmoud Imam Wahyudi Farid Adi Soeprijanto Optimal selection of LQR parameter using AIS for LFC in a multi-area power system Journal of Mechatronics, Electrical Power, and Vehicular Technology linear quadratic regulator (lqr) artificial immune system clonal selection load frequency control (lfc) |
| title | Optimal selection of LQR parameter using AIS for LFC in a multi-area power system |
| title_full | Optimal selection of LQR parameter using AIS for LFC in a multi-area power system |
| title_fullStr | Optimal selection of LQR parameter using AIS for LFC in a multi-area power system |
| title_full_unstemmed | Optimal selection of LQR parameter using AIS for LFC in a multi-area power system |
| title_short | Optimal selection of LQR parameter using AIS for LFC in a multi-area power system |
| title_sort | optimal selection of lqr parameter using ais for lfc in a multi area power system |
| topic | linear quadratic regulator (lqr) artificial immune system clonal selection load frequency control (lfc) |
| url | https://mev.lipi.go.id/mev/article/view/301 |
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