Optimization Methodologies and Testing on Standard Benchmark Functions of Load Frequency Control for Interconnected Multi Area Power System in Smart Grids

Krishan Arora, Ashok Kumar, Vikram Kumar Kamboj, Deepak Prashar, Sudan Jha, Bhanu Shrestha and Gyanendra Prasad Joshi
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Krishan Arora: School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab 144411, India
Ashok Kumar: Department of Electrical Engineering, Maharishi Markandeshwar University Mullana, Haryana 133207, India
Vikram Kumar Kamboj: School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab 144411, India
Deepak Prashar: School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab 144411, India
Sudan Jha: School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab 144411, India
Bhanu Shrestha: Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Korea
Gyanendra Prasad Joshi: Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea

Mathematics, 2020, vol. 8, issue 6, 1-25

Abstract: In the recent era, the need for modern smart grid system leads to the selection of optimized analysis and planning for power generation and management. Renewable sources like wind energy play a vital role to support the modern smart grid system. However, it requires a proper commitment for scheduling of generating units, which needs proper load frequency control and unit commitment problem. In this research area, a novel methodology has been suggested, named Harris hawks optimizer (HHO), to solve the frequency constraint issues. The suggested algorithm was tested and examined for several regular benchmark functions like unimodal, multi-modal, and fixed dimension to solve the numerical optimization problem. The comparison was carried out for various existing models and simulation results demonstrate that the projected algorithm illustrates better results towards load frequency control problem of smart grid arrangement as compared with existing optimization models.

Keywords: Harris hawks optimizer; load frequency control; sensitivity analysis; smart grid; particle swarm optimization; genetic algorithm; meta-heuristics (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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