Abstract
In this present work, a new metaheuristic method called a Harris hawk optimizer (HHO) is applied to achieve the optimal design of a power system stabilizer (PSS) in a multimachine power system. Several well-known chaos maps are incorporated into the HHO to form a chaotic HHO (CHHO) with the aim of improving static operators and enhancing global searching. To assess the CHHO performance, exhaustive comparison studies are made between anticipated chaotic maps in handling unconstrained mathematical problems. At this moment, The PSS design problem over a wide permutation of loading conditions is formulated as a non-linear optimization problem. The adopted objective function defines the damping ratio of lightly damped electromechanical modes subject to a set of constraints. The best PSS parameters are generated by the proposed CHHO. The applicability of the proposed CHHO based on PSS is examined and demonstrated on a 10-generator and 39-bus multimachine power system model. The performance assessments of the CHHO results are realized by a comparative study with HHO through extensive simulations along with further eigenvalue analysis to prove its efficacy. The simulation results convincingly demonstrate the high performance of the proposed CHHO-PSS under various operating scenarios.
Highlights
Due to the fast growth of power demand in recent years, the inadequacy of resources increases the complexity and remoteness of power systems
A multi-machine IEEE 39-bus system is investigated in this work to appraise the coherency of the suggested scheme which is well known as a 10-machine New-England power system
The the results demonstrates the inherent strengths of the suggested chaotic map to obtain the full view of the results demonstrates the inherent strengths of the suggested chaotic map best power system stability and refine the Harris hawk optimizer (HHO) drawback
Summary
Due to the fast growth of power demand in recent years, the inadequacy of resources increases the complexity and remoteness of power systems. Artificial intelligence has been introduced to design PSSs such as artificial neural networks [4,5,6,7], fuzzy logic [8,9], adaptive fuzzy in [10,11], and neuro-fuzzy in [12] These proposed methods have demonstrated the performance to damp out the power system oscillations compared with the power system stabilizer. The below noteworthy features can be stated in order to report on numerically throughout this paper: An efficiency improvement of a powerful metaheuristic method named the HHO is investigated to achieve a set of optimal proposed controllers.
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