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| Title: | Bio-inspired algorithms for the design of multiple optimal power system stabilizers: SPPSO and BFA | |
| Author (s): | Das, T.K. Venayagamoorthy, Ganesh K. | |
| Department/Lab Affiliations: | Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory | |
| Keywords: | PSCAD bacteria foraging matrix pencil analysis multi-machine power system particle swarm optimization power system stabilizers regeneration small population | |
| Issue Date: | 2006 | |
| Publisher: | Institute of Electrical and Electronics Engineers | |
| Citation: | Das, T.K.; Venayagamoorthy, G.K. "Bio-inspired Algorithms for the Design of Multiple Optimal Power System Stabilizers: SPPSO and BFA" 41st IAS Annual Meeting. Conference Record of the 2006 IEEE Industry Applications Conference, 2006.Vol.2, Oct. 2006 Pages:635-641 | |
| Abstract: | Power System Stabilizers (PSSs) provide stabilizing control signals to excitation systems to damp out inter-area and intra-area oscillations. The PSS must be optimally tuned to accommodate the variations in the system dynamics. Designing multiple optimal PSSs is a challenging task for researchers. This paper presents the comparison between two bio-inspired algorithms: a Small Population based Particle Swarm Optimization (SPPSO) and the Bacterial Foraging Algorithm (BFA) for the simultaneous tuning of a number of PSSs in a multi-machine power system. The cost function to be optimized by both algorithms takes into consideration the time domain transient responses. The effectiveness of the algorithms is evaluated and compared for damping the system oscillations during small and large disturbances. The robustness of the optimized PSSs in terms of damping is shown using the Matrix Pencil analysis. | |
| 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 | Bio-inspired algorithms for the design of multiple optimal power system stabilizers: SPPSO and BFA | |
| 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 | PSCAD | |
| subject | bacteria foraging | |
| subject | matrix pencil analysis | |
| subject | multi-machine power system | |
| subject | particle swarm optimization | |
| subject | power system stabilizers | |
| subject | regeneration | |
| subject | small population | |
| date.issued | 2006 | |
| date.submitted | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.citation | Das, T.K.; Venayagamoorthy, G.K. "Bio-inspired Algorithms for the Design of Multiple Optimal Power System Stabilizers: SPPSO and BFA" 41st IAS Annual Meeting. Conference Record of the 2006 IEEE Industry Applications Conference, 2006.Vol.2, Oct. 2006 Pages:635-641 | |
| identifier.issn | 0197-2618 | |
| identifier.pub.URI | ||
| description.abstract | Power System Stabilizers (PSSs) provide stabilizing control signals to excitation systems to damp out inter-area and intra-area oscillations. The PSS must be optimally tuned to accommodate the variations in the system dynamics. Designing multiple optimal PSSs is a challenging task for researchers. This paper presents the comparison between two bio-inspired algorithms: a Small Population based Particle Swarm Optimization (SPPSO) and the Bacterial Foraging Algorithm (BFA) for the simultaneous tuning of a number of PSSs in a multi-machine power system. The cost function to be optimized by both algorithms takes into consideration the time domain transient responses. The effectiveness of the algorithms is evaluated and compared for damping the system oscillations during small and large disturbances. The robustness of the optimized PSSs in terms of damping is shown using the Matrix Pencil analysis. | |
| 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 | 2007-04-05T14:28:38Z | |
| date.available | 2007-04-05T14:28:38Z | |
| identifier.persist.URI | ||
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