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This paper describes a new method for state estimation of a non-linear AC power system in a non-iterative manner. This method is based on the Kipnis–Shamir relinearization technique that is used to solve over-defined sets of polynomial equations. The technique transforms the equations to a higher dimensional linear space which allows the states to be solved in a non-iterative manner. Given accurate measurements, this new state estimation method provides the same results as traditional iterative state estimation methods, and the proposed method does not require an initial guess of system states nor does it have issues with convergence. [ABSTRACT FROM AUTHOR]

• The paper describes our recent research and study activities for a joint project with New York Power Authority (NYPA) and New York State Energy Research and Development Authority (NYSERDA). • One goal of the project is to use closed-loop control device, multi-band power system stabilizers (MBPSS), in the New York power grid (NYPG) to improve its dynamic stability performance including primary frequency and inter-area oscillatory control. • This paper is primarily focused on the frequency control. • The study results show that with a small number of selected controllable assets only operated by NYPA, including WGs, MBPSS effectively improves the dynamic performance of NYPG and even of the Eastern Interconnection as a whole. This paper provides a very detail-oriented study to prepare a full pathway for applying the technology of multi-band power system stabilizers (MBPSS) to a large industrial interconnection-level power system, the Eastern Interconnection network, with a few selected controllable assets of New York Power Authority (NYPA), including wind generations to improve dynamic stability performance with the emphasis on primary frequency control. The detailed methodology to identify the most effective control devices is outlined. Coordinated tuning of MBPSS is performed. The impact of different wind generation levels on the frequency control is demonstrated. The results show that the technology of the advanced closed-loop control with a limited number of NYPA assets improves the dynamic stability performance of the New York power grid and even of the Eastern Interconnection as a whole. Evaluation of the economic benefit from frequency improvement is analyzed. [ABSTRACT FROM AUTHOR]

• An optimal control design on a transmission-level model of the New York state grid. • PMU-only design without knowing the full-scale transmission model. • Tools from data analytics, system identification and control theory are used. • Techniques are engineered to improve the dynamic performance of NYS power grid. • Bridges the gap between the design advancements and the implementation opportunities. This paper focuses on designing and testing a supplementary controller for an ultra-large, utility-scale power system, namely the New York State (NYS) Power Grid from a completely measurement-based perspective. We present the control design using the Flexible AC Transmission System (FACTS) facility at the NYS grid. We use the utility-scale Eastern Interconnection (EI) model consisting of over 70 , 000 buses in the PSS/E platform for this research. The coherency structure of the NYS grid is analyzed by performing Principal Component Analysis (PCA) on frequency measurements obtained from multiple contingency simulations. Thereafter, we use the frequency measurements from PMU-enabled buses to identify a reduced-order state space model of the grid such that it matches the input-output characteristics along with identifying the inter-area modes. This model is then used to design the Linear Quadratic Gaussian (LQG) based optimal FACTS controller. Then the controller is implemented in the PSS/E model of the Eastern Interconnection (EI) as a PSS/E-FORTRAN based user defined module. The effectiveness of the control performance is shown using the non-linear simulations under different contingencies provided by the New York Independent System Operator (NYISO). [ABSTRACT FROM AUTHOR]