An analytical approach for LQR design for improving damping performance of multi-machine power system
In a multi-machine environment, the inter-area low-frequency oscillations induced due to small perturbation(s) has a significant adverse effect on the maximum limit of power transfer capacity of power system. Conventionally, to address this issue, power systems were equipped with lead-lag power syst...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2022-01-01.
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| LEADER | 02585 am a22003133u 4500 | ||
|---|---|---|---|
| 001 | ijeecs25341_15955 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Uravakonda, Sreenivas |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Mallapu, Vijaya Kumar |e author |
| 700 | 1 | 0 | |a Reddy, Venkateswara Reddy Annapu |e author |
| 245 | 0 | 0 | |a An analytical approach for LQR design for improving damping performance of multi-machine power system |
| 260 | |b Institute of Advanced Engineering and Science, |c 2022-01-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25341 | ||
| 520 | |a In a multi-machine environment, the inter-area low-frequency oscillations induced due to small perturbation(s) has a significant adverse effect on the maximum limit of power transfer capacity of power system. Conventionally, to address this issue, power systems were equipped with lead-lag power system stabilizers (CPSS) for damping oscillations of low-frequency. In recent years the research was directed towards optimal control theory to design an optimal linear-quadratic-regultor (LQR) for stabilizing power system against the small perturbation(s). The optimal control theory provides a systematic way to design an optimal LQR with sufficient stability margins. Hence, LQR provides an improved level of performance than CPSS over broad-range of operating conditions. The process of designing of optimal LQR involves optimization of associated state (Q) and control (R) weights. This paper presents an analytical approach (AA) to design an optimal LQR by deriving algebraic equations for evaluating optimal elements for weight matrix 'Q'. The performance of the proposed LQR is studied on an IEEE test system comprising 4-generators and 10-busbars. | ||
| 540 | |a Copyright (c) 2021 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Electrical and Power Engineering, Power System Stability | ||
| 690 | |a Analytical approach; Low-frequency oscillations; LQR; Optimal control theory; Power system stabilizer; | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 25, No 1: January 2022; 51-58 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v25.i1 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25341/15955 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25341/15955 |z Get fulltext |