Least Squares Estimation-Based Synchronous Generator Parameter Estimation Using PMU Data

In this paper, least square estimation (LSE)-based dynamic generator model parameter identification is investigated. Electromechanical dynamics related parameters such as inertia constant and primary frequency control droop for a synchronous generator are estimated using Phasor Measurement Unit (PMU) data obtained at the generator terminal bus. The key idea of applying LSE for dynamic parameter estimation is to have a discrete \underline{a}uto\underline{r}egression with e\underline{x}ogenous input (ARX) model. With an ARX model, a linear estimation problem can be formulated and the parameters of the ARX model can be found. This paper gives the detailed derivation of converting a generator model with primary frequency control into an ARX model. The generator parameters will be recovered from the estimated ARX model parameters afterwards. Two types of conversion methods are presented: zero-order hold (ZOH) method and Tustin method. Numerical results are presented to illustrate the proposed LSE application in dynamic system parameter identification using PMU data.Comment: 5 pages, 6 figures, accepted by IEEE PESGM 201

Robust decentralized control of power systems through excitation systems and thyristor controlled series capacitors

The objective of this work is robust decentralized control of power systems through excitation systems and Thyristor Controlled Series Capacitors (TCSC). Hence the dissertation consists of two parts. In the first part an algorithm for the design of nonlinear decentralized excitation control is developed based on a feedback linearization technique. Feedback linearization technique is applied in excitation control of each generator to obtain an interconnected system where subsystems have linear system matrices and interconnections are represented by nonlinear terms. Different ways of achieving decentralization are investigated: (1) linear robust control combined with observer decoupled state space; (2) disturbance accommodation control. While linear robust control guarantees the subsystem\u27s stability when the interconnection terms are bounded within certain values, disturbance accommodation control is based on linear models of the interconnection terms. Nonlinear simulations are performed on a three-machine nine-bus power system. The simulation results demonstrate the effectiveness of the proposed methodologies.;In the second part, indices for control signal selection and mode effectiveness and interaction are developed. They are applied in Thyristor Controlled Series Capacitor damping control, which is to improve inter-area oscillation damping over a range of operating conditions, for evaluating local signals.;Two case studies are performed to explain and demonstrate the effectiveness of the proposed methodologies. The first power system is the two-area four-machine inter-area oscillation benchmark system. The second is the western U.S. power system (WSCC).;The uncertainty shown in the case studies in this dissertation are variations of load conditions. It can also be variations of topologies. The damping controller proposed in this dissertation is to use local measurement as input signals. Local measurements can be obtained by phasor measurement units (PMU). The feasibility of these control schemes using PMU should be investigated using discrete control techniques. Meanwhile, the measurement errors, control signal delays are not considered in this dissertation. Further work can take above factors into consideration. (Abstract shortened by UMI.)

Oxygen, a Key Factor Regulating Cell Behavior during Neurogenesis and Cerebral Diseases

Oxygen is vital to maintain the normal functions of almost all the organs, especially for brain which is one of the heaviest oxygen consumers in the body. The important roles of oxygen on the brain are not only reflected in the development, but also showed in the pathological processes of many cerebral diseases. In the current review, we summarized the oxygen levels in brain tissues tested by real-time measurements during the embryonic and adult neurogenesis, the cerebral diseases, or in the hyperbaric/hypobaric oxygen environment. Oxygen concentration is low in fetal brain (0.076–7.6 mmHg) and in adult brain (11.4–53.2 mmHg), decreased during stroke, and increased in hyperbaric oxygen environment. In addition, we reviewed the effects of oxygen tensions on the behaviors of neural stem cells (NSCs) in vitro cultures at different oxygen concentration (15.2–152 mmHg) and in vivo niche during different pathological states and in hyperbaric/hypobaric oxygen environment. Moderate hypoxia (22.8–76 mmHg) can promote the proliferation of NSCs and enhance the differentiation of NSCs into the TH-positive neurons. Next, we briefly presented the oxygen-sensitive molecular mechanisms regulating NSCs proliferation and differentiation recently found including the Notch, Bone morphogenetic protein and Wnt pathways. Finally, the future perspectives about the roles of oxygen on brain and NSCs were given