Active and Reactive Load Ability Improvement using BBO Algorithm with FACTS Devices
Sushil Kumar Gupta1, Lalit Kumar2, Manoj Kumar Kar3, Sanjay Kumar4, Gaurav Singh5
1Sushil Kumar Gupta*, Department of Electrical Engineering National Institute of Technology, Jamshedpur, Jharkhand, India.
2Lalit Kumar, Department of Electrical Engineering National Institute of Technology, Jamshedpur, Jharkhand, India.
3Manoj Kumar Kar, Department of Electrical Engineering National Institute of Technology, Jamshedpur, Jharkhand, India.
4Sanjay Kumar, Department of Electrical Engineering National Institute of Technology, Jamshedpur, Jharkhand, India.
5Gaurav Singh, Department of Electrical Engineering Department, National Institute of Technology, Jamshedpur, Jharkhand, India.
Manuscript received on January 13, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 157-162 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1408029420/2020©BEIESP | DOI: 10.35940/ijitee.D1408.029420
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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: Biogeography-based optimization (BBO) technique is used for the optimal positioning of FACTS devices under various loading cases in IEEE 14 bus system. In this paper, the effects of active and reactive loadings are studied and power flow analysis is performed for the proper placement of FACTS devices. The suggested method with active and reactive loading using FACTS devices is compared with Krill herd algorithm (KHA). It is found that the BBO algorithm improves real power loss, operating cost and system loadability significantly. Keywords : Real power loss (RPL), Active loading, Reactive loading, operating cost, Biogeography-based Algorithm
Keywords: Process Mining, Event Log, Process Discovery, Framework Activities
Scope of the Article: Patterns and frameworks