Application of Wide-Area Measurement Systems in Dynamic State Estimation for Power System Stability Enhancement

The development of Wide-Area Measurement Systems (WAMS) has significantly transformed the domain of power system stability by offering unparalleled insight into the dynamics of the system. This study investigates the use of WAMS to enhance Dynamic State Estimation (DSE), a crucial element in ensuring and strengthening the stability of power systems. This research uses precise data obtained by Phasor Measurement Units (PMUs) that are spread out over the network. It creates a novel framework to anticipate system behaviors with accuracy and speed, even under different operating settings. The suggested approach combines sophisticated computational methods with resilient control strategies to tackle the issues of latency, data redundancy, and system scalability. The efficacy of this technique is confirmed by comprehensive simulations and real-time situations, showcasing notable improvements in forecast precision, problem identification, and system reactivity. Moreover, the project investigates the capacity of WAMS to support instantaneous decision-making and proactive measures, thereby reducing risks and improving the dependability of power networks. The results emphasize the significant influence of WAMS on the functioning of power systems, leading to the development of a more robust and effective infrastructure.