Optimal meter placement with state estimation plays a major role in monitoring and controlling of Distribution System. The objective of this work is to optimize the number of necessary measurements and Remote Terminal Units, subject to the constraints of the system observability requirements for best voltage estimation. A global optimization algorithm and Particle Swam Optimization is proposed ...

This paper presents a method for damping of low frequency oscillations (LFO) in a power system. The powersystem contains static synchronous series compensators (SSSC) which using a chaotic harmony searchalgorithm (CHSA), optimizes the lead-lag damping stabilizer. In fact, the main target of this paper isoptimization of selected gains with the time domain-based objective function, which is solve...

Power grid parameter estimation involves the of unknown parameters, such as inertia and damping coefficients, from observed dynamics. In this work, we present physics-informed machine learning algorithms for power system problem. First, propose a novel algorithm to solve based on Sparse Identification Nonlinear Dynamics (SINDy) approach, which uses sparse regression infer parameters that best d...

The Complex Mode Indicator Function (or CMIF) is a popular spatial domain modal parameter estimation technique that utilizes the singular value decomposition of the frequency response function matrix for estimating the modal parameters of the system. Due to several advantages like identification of closely spaced modes, this technique is extremely popular for modal parameter estimation purposes...

This paper gives an overview of parameter estimation and system identification for quantum input-output systems by continuous observation the output field. We present recent results on Fisher information with respect to unknown dynamical parameters. discuss structure continuous-time measurements as solutions Zakai equation, their relationship methods. Proceeding beyond estimation, also emerging...