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

**Krishan Arora 1,2, Ashok Kumar 2, Vikram Kumar Kamboj 1, Deepak Prashar 3, Sudan Jha 3, Bhanu Shrestha 4,\* and Gyanendra Prasad Joshi 5,\***


Received: 1 June 2020; Accepted: 10 June 2020; Published: 16 June 2020

**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
