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| Title: | Optimal design of power system stabilizers using a small population based PSO | |
| Author (s): | Das, T.K. Venayagamoorthy, Ganesh K. | |
| Department/Lab Affiliations: | Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory | |
| Keywords: | Kundur two area power system Multi-machine Power System PSCAD PSS Regeneration Small Population Transient Stability design engineering dynamic search process excitation systems interarea oscillations modified particle swarm optimization algorithm multimachine power system oscillations particle regeneration particle swarm optimisation power system faults power system oscillations power system stability power system stabilizers small population PSO | |
| Issue Date: | 2006 | |
| Publisher: | Institute of Electrical and Electronics Engineers | |
| Citation: | Das, T.K.; Venayagamoorthy, G.K. "Optimal design of power system stabilizers using a small population based PSO" IEEE Power Engineering Society General Meeting, 2006. 18-22 June 2006 Pages: 7 pp. | |
| Abstract: | Power system stabilizers (PSSs) are used to generate supplementary control signals to excitation systems in order to damp out local and inter-area oscillations. In this paper, a modified particle swarm optimization (PSO) algorithm with a small population is presented for the design of optimal PSSs. The small population based PSO (SPPSO) is used to determine the optimal parameters of several PSSs simultaneously in a multi-machine power system. In order to maintain a dynamic search process, the idea of particle regeneration in the population is also proposed. Optimal PSS parameters are determined for the power system subjected to small and large disturbances. The effectiveness of the PSSs parameters determined by the SPPSO algorithm is observed in damping out the power system oscillations fast after a disturbance. The advantage of the proposed approach is its convergence in fewer evaluations and lesser computations are required per evaluation. Results obtained with the SPPSO optimized PSSs parameters are compared against published PSS parameters for the Kundur''s two area power system. | |
| Type: | Article - Conference proceedings text | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: | |
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| title | Optimal design of power system stabilizers using a small population based PSO | |
| contributor.author | Das, T.K. | |
| contributor.author | Venayagamoorthy, Ganesh K. | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.deptlab | Real-Time Power and Intelligent Systems Laboratory | |
| subject | Kundur two area power system | |
| subject | Multi-machine Power System | |
| subject | PSCAD | |
| subject | PSS | |
| subject | Regeneration | |
| subject | Small Population | |
| subject | Transient Stability | |
| subject | design engineering | |
| subject | dynamic search process | |
| subject | excitation systems | |
| subject | interarea oscillations | |
| subject | modified particle swarm optimization algorithm | |
| subject | multimachine power system | |
| subject | oscillations | |
| subject | particle regeneration | |
| subject | particle swarm optimisation | |
| subject | power system faults | |
| subject | power system oscillations | |
| subject | power system stability | |
| subject | power system stabilizers | |
| subject | small population PSO | |
| date.issued | 2006 | |
| date.submitted | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.citation | Das, T.K.; Venayagamoorthy, G.K. "Optimal design of power system stabilizers using a small population based PSO" IEEE Power Engineering Society General Meeting, 2006. 18-22 June 2006 Pages: 7 pp. | |
| identifier.pub.URI | ||
| description.abstract | Power system stabilizers (PSSs) are used to generate supplementary control signals to excitation systems in order to damp out local and inter-area oscillations. In this paper, a modified particle swarm optimization (PSO) algorithm with a small population is presented for the design of optimal PSSs. The small population based PSO (SPPSO) is used to determine the optimal parameters of several PSSs simultaneously in a multi-machine power system. In order to maintain a dynamic search process, the idea of particle regeneration in the population is also proposed. Optimal PSS parameters are determined for the power system subjected to small and large disturbances. The effectiveness of the PSSs parameters determined by the SPPSO algorithm is observed in damping out the power system oscillations fast after a disturbance. The advantage of the proposed approach is its convergence in fewer evaluations and lesser computations are required per evaluation. Results obtained with the SPPSO optimized PSSs parameters are compared against published PSS parameters for the Kundur''s two area power system. | |
| type | Article - Conference proceedings | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights.URI | ||
| date.accessioned | 2007-04-05T14:27:56Z | |
| date.available | 2007-04-05T14:27:56Z | |
| identifier.persist.URI | ||
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