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Communication network brings new challenges such as time delay and data loss to wide-area damping control of power systems. The uncertainty caused by stochastic time delay of network communication increases the difficulty of wide-area control performance analysis. This paper proposes a mathematical expectation modeling approach to model and analyze wide-area controlled power systems considering the...
Design of voltage source converters (VSC) for high-voltage direct current (HVdc) systems requires extensive simulation tools that are accurate and reliable. Before the installation of VSC-HVdc links, different simulation-based studies need to be performed by different parties and using different electromagnetic transient (EMT) simulation platforms. Previous work shows that even with a pedantic re-implementation...
In this paper, an approach is proposed to improve linear models adopted in small-signal stability studies using information extracted from measured outputs of real system, as small disturbance data recorded by phasor measurement units (PMU). With this aim, a trajectory sensitivity technique is applied on the mismatch between the output of the simulated model and the response of the real system. Using...
Nonlinearity of power flow equations is one of the major underlying factors in a power systems operation complexity. The need for a robust and less complex models rises in a volatile, dynamic and real time scenario. This paper introduces new empirical models using multivariate linear regression (MLR) methods with least squares for both real and reactive branch flows. The models do not make prior assumptions...
The Common Information Model (CIM) is considered the most prominent data model for power systems information exchange between Transmission System Operators (TSO), facilitating coordination of TSO for steady-state operation. However, information exchange should also consider power systems dynamic models required to perform dynamic simulations so to coordinate TSOs operations under emergency conditions...
Accurate load models are necessary to enable multiple power system planning and operation applications. The current day utility practice relies on model parameters that are based on old survey results/tests and often do not accurately capture the behavior of loads across different operating conditions. This results in conservative estimation of loading margin, leading to under-utilization of the assets...
In this paper, two types of generator model state and parameter estimation methods via Phasor Measurement Unit (PMU) data are described. The first type is the least square errors estimation (LSE) for parameter estimation and the second type is Kalman filter based estimation for both parameters and states. For LSE-based method, with parameters estimated, states can be estimated via event playback....
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