Strategic Position and Tuning of UPFC using Multiple Indices and Flower Pollination Algorithm for Contingency Management
Sravana Kumar Bali1, B. Durgaprasad2, A.Jagadeesh3, V. Raj Kumar4
1Sravana Kumar Bali, Department of EEE, GITAM Deemed to be University, Visakhapatnam (Andhra Pradesh), India.
2B. Durgaprasad, Department of EEE, GITAM Deemed to be University, Visakhapatnam (Andhra Pradesh), India.
3A. Jagadeesh, Department of EEE, GITAM Deemed to be University, Visakhapatnam (Andhra Pradesh), India.
4V. Raj Kumar, Department of EEE, GITAM Deemed to be University, Visakhapatnam (Andhra Pradesh), India.
Manuscript received on 23 November 2019 | Revised Manuscript received on 11 December 2019 | Manuscript Published on 30 December 2019 | PP: 154-159 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10401292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1040.1292S319
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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 this paper, a technique was proposed in the presence of UPFC to optimize the sizing of generators with Flower Pollination algorithm. The UPFC is based on an index incorporating both the L-index and the LUF index. For tuning the generators, a multi objective function has been selected. The multi-objective feature consists of deviation of voltage, cost of active generation of power and loss of transmission line. This approach was tested and implemented for regular loading and extreme network conditions due to line failure (contingency situation) on an IEEE 30 test bus system.
Keywords: Optimal Reallocation; UPFC; Flower Pollination Algorithm; Voltage Stability.
Scope of the Article: Algorithm Engineering