Optimal Allocation of UPFC and IPFC in Network Considering Sensitivity of Line Flows under Single Line Contingency
V. Srinivasa Rao1, R. Srinivasa Rao2, M. Ravindra3
1V. Srinivasa Rao, Department of EEE, Aditya Engineering College (A), ADB Road, Aditya Nagar, Surampalem, India.
2R. Srinivasa Rao, Department of EEE, University College of Engineering, JNTUK, Kakinada, India.
3M. Ravindra*, Department of EEE, Aditya College of Engineering, ADB Road, Aditya Nagar, Surampalem, India.

Manuscript received on January 05, 2020. | Revised Manuscript received on January 25, 2020. | Manuscript published on January 30, 2020. | PP: 4307-4313 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6470018520/2020©BEIESP | DOI: 10.35940/ijrte.E6470.018520

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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: This paper presents, optimal location for deployment of Unified Power Flow Controller (UPFC) and Interline Power Flow Controller (IPFC) in network considering sensitivity of line flows under single contingency. A sensitive approach is proposed which is considered based on Ranking Index (RI) and Performance Index (PI). A unitary change of power flow (PF) in each transmission line after outage of a branch element can be obtained from proposed index. The proposed Index is used to quantify loading level of network after a given outage. Contingencies are structured in descending order depending on value of proposed Index. Sensitivity factors are obtained by differentiating PF indices subject to parameters of UPFC and IPFC devices. Optimal deployment of UPFC and IPFC device is considered by the value of sensitivity factors attained by considering line outages in order of their severities which is given by proposed Index. The efficacy of proposed approach is computed and programmed on 5bus and IEEE 14bus networks under MATLAB environment.
Keywords: UPFC And IPFC, Contingency Analysis, Sensitivity Approach, Ranking Index, Optimal Placement.
Scope of the Article: Predictive Analysis