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Optimal Power Flow of Integrated Energy System with Solar and Wind Using Tcsc and Grey Wolf Algorithm Considering Uncertainties
M. Ram Babu1, G.V. Nagesh Kumar2, S. Siva Nagaraju3

1M.Ram Babu, Department of EEE, GMR Institute of Technology, Rajam (Andhra Pradesh), India.
2G.V. Nagesh Kumar, Department of EEE, JNTUA College of Engineering, Pulivendula (Andhra Pradesh), India.
3S.Sivanagaraju, Department of EEE, JNTUK College of Engineering, Kakinada (Andhra Pradesh), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 814-821 | Volume-8 Issue-5, March 2019 | Retrieval Number: E2978038519/19©BEIESP
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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: The continuous enlargement and up-gradation of transmission network have become very important to satisfy ever mounting power demand due to the insufficient energy sources and severity evaluation is necessary. In this study, optimal placement of Thyristor controlled series converter is carried using the combination of two indices and sized using Grey wolf algorithm for improvement of power flow as well as the voltage stability and reliability of the integrated system. The formulated Fast voltage stability index determines the power flow of the line and Line Utilization factor estimates the percentage of the line being utilized. The TCSC is placed at the maximum value of the joint severe indicator composite severity index. To validate the proposed methodology it in the absence presence TCSC are compared for normal and 110% loading.
Keyword: Grey Wolf Optimization, Solar, Wind, Generator Reallocation, Distribution Functions, TCSC.
Scope of the Article: Algorithm Engineering