Explicit adaptive power system stabilizer design based an on-line identifier for single-machine infinite bus

Fawzy, Asmaa; Ahmed, Mahrous; Mossa, Mohamed R.; Baha-El-Din, Ayman M.; Alkhalaf, Salem; Senjyu, Tomonobu; Hemeida, Ashraf Mohamed

doi:10.1016/j.asej.2021.06.029

Cited by 9 publications

(1 citation statement)

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“…Here, MPA is more efficient and effective than traditional controllers with respect to rotor angle stability. A mechanism for explicit self-tuning control (ESTC) has been proposed in [38] to improve the stability and damping of the LFO. Here, the structure of the proposed controller, which acts as an adaptive PSS, depends on the principle of recursive least squares (RLS).…”

Section: Control and Optimization Based Techniquesmentioning

confidence: 99%

A Recent Review on Approaches to Design Power System Stabilizers: Status, Challenges and Future Scope

Sarkar

Prakash

2023

IEEE Access

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Modern power system networks are complex and subjected to several uncertainties. Due to the complexity and uncertainties involved in power system operation, the networks are prone to instabilities. Rotor-angle instability is one such issue that, if not addressed properly, may lead to system collapse. A power system stabilizer (PSS) is primarily a power oscillation damping (POD) controller used to dampen power oscillations, thereby improving rotor angle stability. The proper design of PSSs is a challenging task and is essential for the secure and reliable operation of power systems. In the past, many power system instability events occurred, resulting in cascading failures and even blackouts. In the literature, several methods are proposed for the efficient design of PSSs or POD controllers. In this contribution, a recent review on the design of PSS is presented, along with challenges and the future scope of research in this field. On the basis of this review, it can be concluded that there is ample scope for designing PSS in a more efficient and robust manner, considering several uncertainties that may occur during the operation of modern power systems.

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Section: Control and Optimization Based Techniquesmentioning

confidence: 99%