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https://ptsldigital.ukm.my/jspui/handle/123456789/486919Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Hussain Shareef, Dr. | - |
| dc.contributor.author | Mahdiyeh Eslami (P52269) | - |
| dc.date.accessioned | 2023-10-11T02:26:33Z | - |
| dc.date.available | 2023-10-11T02:26:33Z | - |
| dc.date.issued | 2012-03-07 | - |
| dc.identifier.other | ukmvital:114450 | - |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/486919 | - |
| dc.description | Power system oscillation damping remains as one of the major concerns for secure and reliable operation of large power systems. When power systems are operating under stringent conditions, the inception of poorly damped low-frequency inter-area oscillations may lead to system-wide breakups or considerably reduce the power transfers over critical corridors. Request of power system stabilizers (PSSs) have become the first measure to increase the system damping. However, during some operating conditions, this device may not produce enough damping, particularly to inter-area modes. Hence, other effective alternatives are needed in addition to PSSs. Recently, flexible alternating current transmission systems (FACTS) technology is emerging as an interesting approach to help in alleviating several power system operating difficulties. FACTS devices and PSS are all fast acting power system devices, and they have the potential to interact with each other and deteriorate the performance of overall system, if they are not coordinated properly. The coordinated design problem of PSS and FACTS damping controllers can be formulated as an optimization problem and an effective optimization technique could provide a reliable solution for the problem. This thesis proposes an effective modified particle swarm optimization (MPSO) algorithm with the purpose to enhance the feasibility, solution quality and convergence speed of the original algorithm. In order to improve the search performance and controlling the balance between exploration and exploitation, in the proposed MPSO a novel chaotic PSO combined with the nonlinear time-varying acceleration coefficient is introduced. This method greatly elevates the global and local search abilities and overcome the premature convergence of the original algorithm. The proposed MPSO is implemented for the optimal tuning and placement of PSS in multi-machine power systems and also it is applied for coordinated design of PSS and FACTS damping controllers. The multi-objective function in the optimization problem is the aggregation of the two objectives related to the damping ratio and damping factor, where MPSO is applied to search for the optimal setting of the controllers' parameters. By minimizing this objective function, oscillatory characteristics between areas are contained and the interactions among the PSS and FACTS damping controllers are modified in the power systems. The performance comparison of the MPSO algorithm on a suite of well-known unimodal and multimodal benchmark functions indicated that the modified algorithm could improve the results more than 85% in certain cases. The statistical analyses also showed that, standard deviation of the results obtained by the new method were significantly lower than those evaluated by the original algorithm, indicating stability and reliability of the modified technique. The presented approach is implemented and examined on the two familiar multi-machine systems named 2-area 4-machine system and 16 machine, 68-bus system representing interconnected New England Test System (NETS) and New York Power System (NYPS) under various system configurations and loading conditions. These systems are modeled using Power System Toolbox 3 (PST). The eigenvalues analysis and time-domain simulation results demonstrate the high performance of the proposed controllers and their ability to provide efficient damping of low frequency oscillations. Experimental results show that the proposed methodology could improve the evaluated damping oscillation in power systems up to 15%.,"Certification of Master's/Doctoral Thesis" is not available,Ph.D. | - |
| dc.language.iso | eng | - |
| dc.publisher | UKM, Bangi | - |
| dc.relation | Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina | - |
| dc.rights | UKM | - |
| dc.subject | Electric power systems -- Automatic control | - |
| dc.subject | Microelectromechanical systems | - |
| dc.subject | Swarm intelligence | - |
| dc.subject | Universiti Kebangsaan Malaysia -- Dissertations | - |
| dc.subject | Dissertations, Academic -- Malaysia | - |
| dc.title | Coordination of power system controllers for optimal damping of electromechanical oscillations using modified particles swarm optimization | - |
| dc.type | Theses | - |
| dc.format.pages | 199 | - |
| dc.identifier.callno | TK1007.E844 2012 3 tesis | - |
| dc.identifier.barcode | 002312(2012); 005359(2021)(PL2) | - |
| Appears in Collections: | Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_114450+SOURCE1+SOURCE1.0.PDF Restricted Access | 17.18 MB | Adobe PDF |  View/Open |
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