Reviewing Power System Stabilizer (PSS) Parameters Optimization Using Evolutionary Meta-Heuristic Algorithms for Power System Stability

The dynamic nature of the power system often results in sudden changes in the load that can lead to power and voltage disturbances. Unfortunately, the interference generator is unable to respond quickly, thereby leading to a disruption in the stability of the energy system. Any form of disturbance or change in the input typically results in oscillations in real and reactive power, frequency, and voltage. One of the most effective devices used in damping low-frequency oscillations (LFO) in the power system is the power system stabilizer (PSS). However, the PSS parameters must be appropriately designed and coordinated with other stabilizers to not only dampen oscillations but also improve the stability of the power system. This paper presents a short review of the optimization of PSS parameters using meta-heuristic optimization algorithms that are based on evolution. The main optimization strategies investigated are harmony search optimization (HSO) and genetic algorithm (GA). The results have been expressed using a review of more than 40 different studies.