Optimization and coordination of wide-area damping controls for enhancing the transfer capability of interconnected power systems

Xie, Xiaorong; Lü, Chao

doi:10.1016/j.epsr.2007.09.002

Cited by 13 publications

(15 citation statements)

References 22 publications

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“…An additional function, the iterative prediction-error minimization 21 method "pem" was utilized. The "pem" command essentially features a "method based on estimating the parameters of a linear model by minimizing a robustified quadratic prediction error criterion with an iterative search algorithm" 22 . Both the "pem" and "n4sid" routines were evaluated with several sets of lateral-directional flight data to identify the method producing the most consistent results.…”

Section: A Nominal Linear Model Identificationmentioning

confidence: 99%

Nonlinear Aircraft Model Identification and Validation for a Fault-Tolerant Flight Control System

Phillips

Gururajan

Campa

et al. 2010

AIAA Atmospheric Flight Mechanics Conference

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This paper presents the results of a parameter identification study for determining a mathematical model of the WVU YF-22 unmanned research aircraft under both nominal and actuator failure conditions to simulate malfunctions on primary control surfaces. Specifically, both linear and nonlinear mathematical models were derived from measured flight data acquired from pilot and automated computer-injected maneuvers under nominal and failure conditions. From analysis, the stability and control derivatives were extracted to determine the aerodynamic forces and moments. The aerodynamic derivatives were then introduced into a simulation model implemented within a Simulink-based environment, and studies were conducted to validate the accuracy of the identified models. Additionally, "Empirical" and DATCOM analyses were conducted for the WVU YF-22 to further validate the nonlinear model obtained through the parameter identification study. Nomenclature a = linear acceleration (m/s 2 ) A = decoupled (failure) state matrix b = wing span (m) B = decoupled (failure) input matrix C = aerodynamic coefficient c = mean aerodynamic chord (m) e = error H = altitude (m) i = surface deflection (deg) I = moment of inertia (kg m 2 ) J = product of inertia (kg m 2 ) m = aircraft mass (kg) TP 1 2 p = roll rate (deg/s) q = pitch rate (deg/s) q = dynamic pressure (psi) r = yaw rate (deg/s) S = wing surface area (m 2 ) T = thrust (N) V = velocity (m/s) Greek Letters α = angle of attack (deg) β = angle of sideslip (deg) δ = control surface deflection (deg) θ = pitch angle (deg)  = roll angle (deg) ψ = yaw angle (deg) ρ = air density (kg/m 3 ) Subscripts A = aileron D = drag H = stabilator l = rolling moment L = lift, left m = pitching moment n = yawing moment R = rudder, right xx = about the x-axis (body) xz = about the x and z axes (body) Y = side force yy = about the y-axis (body) zz = about the z-axis (body) Downloaded by PURDUE UNIVERSITY on July 30, 2015 | http://arc.aiaa.org |

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Section: A Nominal Linear Model Identificationmentioning

confidence: 99%

Nonlinear Aircraft Model Identification and Validation for a Fault-Tolerant Flight Control System

Phillips

Gururajan

Campa

et al. 2010

AIAA Atmospheric Flight Mechanics Conference

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“…The solver used for this nonlinear programming problem is the MATLAB function fmincon, which is based on the SQP (successive quadratic programming) method [6]. The software was developed using MATLAB [7].…”

Section: E Side Constraintsmentioning

confidence: 99%

Event detection and location in electric power systems using constrained optimization

Smith

Wedeward

2009

2009 IEEE Power &Amp; Energy Society General Meeting

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Online monitoring and diagnostics are important functions in the operation and maintenance of electric power systems. In this preliminary paper we present two new methods for electric power grid state and parameter estimation when a limited amount of grid information is available. The methods are based on developing a constrained optimization problem whose solution provides a set of desired grid information. The first method attempts to estimate an approximate state of the grid from a set of measurements at a relatively small number of sites. Constrained to the power balance manifold, this method minimizes an objective function based on generic grid behavior as well as any available information about the particular state of the grid to estimate a selected set of grid states and parameters. The second approach uses time data from a small number of sites to try to detect and localize an event such as a faulted line in the grid. This method minimizes an objective function defined on the time-varying power balance manifold that is designed to be sensitive to abrupt local state and parameter changes. This detection and localization tool is intended as an early warning system or a supplemental check within a larger multi-modal detection system. The capabilities of the approaches are demonstrated through simulation on a IEEE power flow test grid.

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“…A systematic procedure to design coordinated wide-area damping controllers is presented in [38], [39]. Simulation results on China's Northern grid have demonstrated that the proposed design was successful at achieving its design specifications.…”

Section: Wide-area Damping Controlmentioning

confidence: 99%

“…In [41] it is shown that if ∆ω signals are used, they must be synchronized. In [38], inter-area active power is chosen as input signal due to the following reasons: active power has high observability of the inter-area modes under most operating scenarios, and it might be feasible to measure these quantities with WAMS if the main inter-area mode transfer paths are known. Using these signals, it may also be possible to maximize the inter-area power transfer.…”

Section: A Input Signals Selectionmentioning

confidence: 99%

“…In [65], the use of participation factors to determine PSS locations is proposed; however, this method needs to be supplemented by residues and frequency responses. In [38], a comprehensive controllability index is used. Here the index defines the sensitivity of a control input to the output so that the controllers can be located at the generators with larger controllability indices.…”

Section: B Pss Placementmentioning

confidence: 99%

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Survey on power system stabilizers control and their prospective applications for power system damping using Synchrophasor‐based wide‐area systems

Chompoobutrgool

Vanfretti

Ghandhari

2011

Int Trans Elec Energy Syst

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Power system oscillation damping remains as one of the major concerns for secure and reliable operation of large power systems, and is of great current interest to both industry and academia. The principal reason for this is that the inception of poorly-damped low-frequency inter-area oscillations (LFIOs) when power systems are operating under stringent conditions may lead to systemwide breakups or considerably reduce the power transfers over critical corridors. With the availability of high-sampling rate phasor measurement units (PMUs), there is an increasing interest for effectively exploiting conventional damping control devices, such as power system stabilizers (PSSs), by using these measurements as control input signals. In this paper, we provide a comprehensive overview of distinct elements (or "building blocks") necessary for wide-area power system damping using synchrophasors and PSSs. These building blocks together shape a tentative methodical framework, and are disposed as follows: (1) fundamental understanding of the main characteristics of inter-area oscillations, (2) wide-area measurement and control systems (WAMS and WACS) and wide-area damping control (WADC), (3) advanced signal processing techniques for mode property identification, (4) methods for model-based small-signal analysis, (5) control input signals selection, and (6) methods for PSS control design. We also describe the latest developments in the implementation of synchrophasor measurements in WAMS and WACS as well as their prospectives for WADC applications. This paper serves both to abridge the state-of-the-art in each of these elements, and to accentuate aspiring ideas in each building block.

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Optimization and coordination of wide-area damping controls for enhancing the transfer capability of interconnected power systems

Cited by 13 publications

References 22 publications

Nonlinear Aircraft Model Identification and Validation for a Fault-Tolerant Flight Control System

Nonlinear Aircraft Model Identification and Validation for a Fault-Tolerant Flight Control System

Event detection and location in electric power systems using constrained optimization

Survey on power system stabilizers control and their prospective applications for power system damping using Synchrophasor‐based wide‐area systems

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