Improved DE Algorithm for Power System Stabilizer for Damping Low Frequency Oscillations
Sreedivya K.M1, P. Aruna Jeyanthy2, D. Devaraj3
1Sreedivya K.M., Department of EEE, Kalasalingam Academy of Research and Education, Srivilliputhur (Tamil Nadu), India.
2P. Aruna Jeyanthy, Department of EEE, Kalasalingam Academy of Research and Education, Srivilliputhur (Tamil Nadu), India.
3D. Devaraj, Department of EEE, Kalasalingam Academy of Research and Education, Srivilliputhur (Tamil Nadu), India.
Manuscript received on 05 December 2019 | Revised Manuscript received on 17 December 2019 | Manuscript Published on 30 December 2019 | PP: 606-611 | Volume-9 Issue-2S2 December 2019 | Retrieval Number: B10911292S219/2019©BEIESP | DOI: 10.35940/ijitee.B1091.1292S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the large interconnected power system, maintaining the Small signal stability of the system is of more concern, for the stable, secure and reliable operation. This paper proposes an Improved Differential Evolution (DE) Algorithm based Optimal Power system stabilizer (PSS) for damping the low frequency oscillations. Enhancing the damping of system is formulated as the optimization problem. DE/Best Mutation Operator is adopted for producing the mutation vector, to augment the convergence rate of DE algorithm. The effectiveness of the proposed approach has been tested in Single Machine Infinite Bus (SMIB) system under different operating conditions. The time response evaluations has justified the superiority of the proposed approach for damping the oscillations and thereby improving the Small signal stability of the system.
Keywords: Power System Stabilizer (PSS), Improved Differential Evolution Algorithm (Improved DE), Low Frequency Oscillations, Small Signal Stability.
Scope of the Article: Frequency Selective Surface