Optimal Reallocation of Generators using Line Utilization Factor and L-Index with UPFC
Sravana Kumar Bali1, G.V. Nagesh Kumar2, Akanksha Mishra3, P.V.S. Sobhan4
1B. Sravana Kumar, Department of EEE, GITAM Deemed to be University, Visakhapatnam (Andhra Pradesh), India.
2G.V. Nagesh Kumar, Department of EEE, JNTUA College of Engineering Pulivendula (Andhra Pradesh), India.
3Akanksha Mishra, Department of EEE, Vignan’s Institute of Engineering for Women, Visakhapatnam (Andhra Pradesh), India.
4P.V.S. Sobhan, Department of EEE, Vignan University, Guntur (Andhra Pradesh), India.
Manuscript received on 22 November 2019 | Revised Manuscript received on 10 December 2019 | Manuscript Published on 30 December 2019 | PP: 140-144 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10361292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1036.1292S319
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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 the electrical industry, globalization and privatization have greatly increased competition. Therefore, it has become completely necessary to make full use of existing power assets. In this paper, a technique was proposed in the presence of UPFC to optimize the sizing of generators with Krill Herd 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 on an IEEE 30 bus system.
Keywords: Optimal Reallocation; UPFC; Krill Herd Algorithm; Voltage Stability.
Scope of the Article: Cloud Resources Utilization in IoT