Sensitivity Analysis of Load Frequency Control Problem considering impact of Wind Penetration using improved Harris Hawks Optimizer
Krishan Arora1, Ashok Kumar2, Vikram Kumar3
1Krishan Arora*, Ph.D Research Scholar, Maharishi Markandeshwar University, Mullana, Ambala & Assistant Prof. Lovely Professional University, Jalandhar, Punjab.
2Ashok Kumar, Department of Electrical Engineering, Maharishi Markandeshwar University, Mullana, Haryana.
3Vikram Kumar, School of Electronics & Electrical Engineering, Lovely Professional University, Jalandhar, Punjab.
Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 195-205 | Volume-9 Issue-2, December 2019. | Retrieval Number: A6110119119/2019©BEIESP | DOI: 10.35940/ijitee.A6110.129219
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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 suggest a new technique known as Harris’s Hawk Optimizer which is used to solve multi objective constraints. This optimizer is predicated on gray wolf multi objective optimisation approach and intended by symbiotic trapping behavior of Harris’s Hawk. These hawks are called as wolf bundle of azure. Here in this paper the sensitivity analysis to judge robustness with Harris hawk optimization technique for load frequency control is effectually and consistently presented. The result indicates unimodel and multimodel for various benchmarking functions examining sensitivity analysis and the valve point loading effect. The concluding results gained using improved HHO are compared with other algorithms and found to be encouraging.
Keywords: Benchmark Test Functions, Multidisciplinary Engineering Design Optimization, Harris Hawks Optimization, Sensitivity Analysis.
Scope of the Article: Frequency Selective Surface