An improved whale optimization algorithm for the design of multi‐machine power system stabilizer

Abstract

Summary An improved whale optimization algorithm (IWOA) for the design of a robust power system stabilizer (PSS) for the multi‐machine power system is developed in this paper. Tuning of PSS parameters using the proposed IWOA is carried out by minimizing a multi‐objective function comprising the damping ratio and damping factor of lightly damped oscillating modes of all the generators. The advantage of considering the objective function is that the lightly damped and undamped oscillating modes of all the generators can shift to a prespecified zone of the s‐plane. The performance of the proposed IWOA is tested on standard benchmark test functions and compared with familiar optimization algorithms. The efficacy of the proposed design technique is tested on three benchmark test systems: three‐generator nine‐bus system, two‐area four‐machine interconnected system, and the New England 10‐generator 39‐bus system working on various operating conditions under several typical disturbances. The potential of the proposed method is demonstrated through eigenvalue analysis. The proposed IWOA‐based PSS is compared with the other stabilizers to show its efficacy.

Simplex Search Method Driven Design for Transient Stability Enhancement in Wind Energy Integrated Power System Using Multi-Band PSS4C

“…The transient voltages of SG: E'q, E'd, and field voltage Efd are given by the following equations [37], [38].…”

Teaching power system stabilizer and proportional-integral-derivative impacts on transient condition in synchronous generator

“…The non-linearities in power systems stability must be changed into a linearized model. Although modern control methods have been used to minimize the arranged objective function of power system stabilizer, namely fuzzy logic PSS [10] and adaptive fuzzy rule-based PSS [11], the conventional lead-lag structure of power system stabilizer is still chosen because of the ease to tune online. The reason behind that might be the ease to tune online and the lack of stability guarantee regarding to some methods of adaptive or variable structure [12]- [15].…”

Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations

“…This is a drawback as the system operating conditions may vary consistently over a wide range of operation (Sikander et al, 2018). However, the arrangement of the system operating points changes, which necessitates a proportional change in the PSS’s parameters in order to maintain the best system operation (Butti et al, 2020). Therefore, the success of the entire PSS design depends on the tuning stage (Gurung et al, 2019; Rana et al, 2019; Verdejo et al, 2019).…”