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State estimation is the most important procedure providing the electric power system control with reliable quality information. The role of state estimation problem is getting more pronounced with transition to a qualitatively new level of technologies and control of power systems based on the wide-area monitoring and control systems (WAMS/WACS). Currently the electric power system (EPS) state estimation...
State Estimation (SE) is a key Energy Management System (EMS) function, responsible for estimating the state of the power system. Power system is a quasi-static system and hence changes slowly with time. State estimation is computationally expensive and it is a vital problem for the operating engineers. This paper presents a bird's eye view on different methodologies and developments in the area of...
This paper presents how symbolic computational approaches can be combined with advanced power system algorithms in order to implement advanced smart grid applications that will enable the modernization and the automation of the grid. We initially present a method for symbolically defining and integrating complex nonlinear dynamical systems in order to automatically compute the model of the devices...
State estimation is an important tool for system operators. The state of the power system is defined by the voltage magnitudes and phase angles at all buses. The state estimator (SE) determines this state based on a set of redundant measurements. The classic steady-state estimator is widely used. Attempts to formulate a dynamic-state estimator have also been made. To speed up the computation, some...
This paper introduces a novel method of islanding detection for distributed generation networks employing negative sequence impedance measurement. The negative sequence impedance islanding detection method (NSIID) is an improvement on previous impedance measurement techniques for islanding detection because it has a small non-detection zone and large threshold window, which previous techniques have...
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