Power System Stability Improvement with Decommissioned Synchronous Machine Using Koopman Operator Based Model Predictive Control
| dc.contributor.author | Li, Xiawen | en |
| dc.contributor.committeechair | De La Ree, Jaime | en |
| dc.contributor.committeemember | Broadwater, Robert P. | en |
| dc.contributor.committeemember | Mishra, Chetan | en |
| dc.contributor.committeemember | Centeno, Virgilio A. | en |
| dc.contributor.committeemember | Southward, Steve C. | en |
| dc.contributor.committeemember | Burgos, Rolando | en |
| dc.contributor.department | Electrical Engineering | en |
| dc.date.accessioned | 2021-02-28T07:00:29Z | en |
| dc.date.available | 2021-02-28T07:00:29Z | en |
| dc.date.issued | 2019-09-06 | en |
| dc.description.abstract | Traditional generators have been decommissioned or replaced by renewable energy generation due to utility long-standing goals. However, instead of flattening the entire plant, the rotating mass of generator can be utilized as a storage unit (inertia resource) to mitigate the frequency swings during transient caused by the renewables. The goal of this work is to design a control strategy utilizing the decommissioned generator interfaced with power grid via a back-to-back converter to provide inertia support. This is referred to as decoupled synchronous machine system (DSMS). On top of that, the grid-side converter is capable of providing reactive power as an auxiliary voltage controller. However, in a practical setting, for power utilities, the detailed state equations of such device as well as the complicated nonlinear power system are usually unobtainable making the controller design a challenging problem. Therefore, a model free, purely data-driven strategy for the nonlinear controller design using Koopman operator-based framework is proposed. Besides, the time delay embedding technique is adopted together with Koopman operator theory for the nonlinear system identification. Koopman operator provides a linear representation of the system and thereby the classical linear control algorithms can be applied. In this work, model predictive control is adopted to cope with the constraints of the control signals. The effectiveness and robustness of the proposed system are demonstrated in Kundur two-area system and IEEE 39-bus system. | en |
| dc.description.abstractgeneral | Power system is facing an energy transformation from the traditional fuel to sustainable renewable such as solar, wind and so on. Unlike the traditional fuel energized generators, the renewable has very little inertia to maintain frequency stability. Therefore, this work proposes a new system referred to as decoupled synchronous machine system (DSMS) to support the grid frequency. DSMS consists of the rotating mass of generator and a back-to-back converter which can be utilized as an inertia resource to mitigate the frequency oscillations. In addition, the grid-side converter can provide reactive power to improve voltage performance during faults. This work aims to design a control strategy utilizing DSMS to support grid frequency and voltage. However, an explicit mathematical model of such device is unobtainable in a practical setting making data-driven control the only option. A data-driven technique which is Koopman operator-based framework together with time delay embedding algorithm is proposed to obtain a linear representation of the system. The effectiveness and robustness of the proposed system are demonstrated in Kundur two-area system and IEEE 39-bus system. | en |
| dc.description.degree | Doctor of Philosophy | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:22043 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/102503 | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | Inertia | en |
| dc.subject | Koopman Operator | en |
| dc.subject | Time-Delay Embedding | en |
| dc.subject | Model Predictive Control | en |
| dc.title | Power System Stability Improvement with Decommissioned Synchronous Machine Using Koopman Operator Based Model Predictive Control | en |
| dc.type | Dissertation | en |
| thesis.degree.discipline | Electrical Engineering | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | doctoral | en |
| thesis.degree.name | Doctor of Philosophy | en |