Power System Control and Stability

Anderson, Paul M.; Fouad, A. A.

doi:10.1109/9780470545577

Cited by 1,285 publications

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“…The (2,2) model [2,3,7,20,21,22,23], when neglecting or taking into account the transformation voltage in the armature circuit [2,20,21], is often used to investigate the PS angular stability. Saturation of the magnetic cores [1] can be taken into account in an approximate way by introducing a correction for the main magnetic flux dependent on the magnetizing current [2,3,23].…”

Section: Synchronous Generator Models Taking Intomentioning

confidence: 99%

Determination of synchronous generator nonlinear model parameters based on power rejection tests using a gradient optimization algorithm

Boboń

Nocoń

Paszek

et al. 2017

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The paper presents a method for determining electromagnetic parameters of different synchronous generator models based on dynamic waveforms measured at power rejection. Such a test can be performed safely under normal operating conditions of a generator working in a power plant. A generator model was investigated, expressed by reactances and time constants of steady, transient, and subtransient state in the d and q axes, as well as the circuit models (type (3,3) and (2,2)) expressed by resistances and inductances of stator, excitation, and equivalent rotor damping circuits windings. All these models approximately take into account the influence of magnetic core saturation. The least squares method was used for parameter estimation. There was minimized the objective function defined as the mean square error between the measured waveforms and the waveforms calculated based on the mathematical models. A method of determining the initial values of those state variables which also depend on the searched parameters is presented. To minimize the objective function, a gradient optimization algorithm finding local minima for a selected starting point was used. To get closer to the global minimum, calculations were repeated many times, taking into account the inequality constraints for the searched parameters. The paper presents the parameter estimation results and a comparison of the waveforms measured and calculated based on the final parameters for 200 MW and 50 MW turbogenerators.Key words: gradient optimization algorithm, synchronous generator models, parameter estimation, load rejection tests. Determination of synchronous generator nonlinear model parameters based on power rejection tests using a gradient optimization algorithmA. BOBOŃ, A. NOCOŃ, S. PASZEK, and P. PRUSKI * Institute of Electrical Engineering and Computer Science, Silesian University of Technology, 10 Akademicka St., 44-100 Gliwice, Poland SSFR [2,6,7]) and those based on the results of measurements at a rotating machine. The methods based on the measurement tests carried out under the conditions close to normal operation of a synchro nous generator, such as power rejection tests [2,7,11]. The load rejection test is of great practical importance. Its realization requires only minor changes in the normal operating procedures of a generating unit. The test can be carried out during a scheduled shutdown of the generator. More detailed description of the load rejection test is given in Section 3.The paper presents the models of synchronous generators with a cylindrical rotor (turbogene rator) of type XT and RL that take into account the saturation of the machine's magnetic circuit. The parameter estimation method for these models is described. In this method, the dynamic waveforms of selected quantities measured during power rejection tests are used. The estimation results for 200 MW and 50 MW generators are given in the paper.To determine the values of the parameters of the analysed mathematical models, the least squares method was used. An ob...

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Section: Synchronous Generator Models Taking Intomentioning

confidence: 99%

Determination of synchronous generator nonlinear model parameters based on power rejection tests using a gradient optimization algorithm

Boboń

Nocoń

Paszek

et al. 2017

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…Sensor is used to collect data from the physical environment while actuators are meant to make decisions based on the information gathered by the sensors [3] . A network is also required for the purpose of establishing communication between sensors and actuators [4] .…”

Section: Traditional Approach To Distribution Automation and Power Mamentioning

confidence: 99%

A Novel Embedded Based Power Management System

2016

IJSR

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“…Synchronous machine reactances developed by Prentice (105), the per unit system developed by Rankin (106,107) and the modified normali zation developed by Lewis (74) were all in line with the two reaction theory. Several analyses of the synchronous machine are contained in the literature (5,33,66,74), and some of them (5,33) employ the modern control techniques in their analyses.…”

Section: Eeview Of Literaturementioning

confidence: 99%

“…nonlinearities due to amplifiers, limitera, exciter saturation (5,6,82,91,108,121,140). The major nonlinearities of a hydro governing system are the variation of turbine characteristics with load and constraint on the motion of the turbine wicket gates (133).…”

Section: B Types Of Nonlinearitiesmentioning

confidence: 99%

“…Another type of nonlinearity is that associated with the nonlinear system of equations which result whenever one models an alternator (4,5,6,35,83,110,116). This type of nonlinearity shows up as speed voltage terms in system equations and is interesting because it depends on the way in which the original time varying differential equations are transformed.…”

Section: B Types Of Nonlinearitiesmentioning

confidence: 99%

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Effects of system nonlinearities on synchronous machine control

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Power System Control and Stability

Cited by 1,285 publications

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Determination of synchronous generator nonlinear model parameters based on power rejection tests using a gradient optimization algorithm

Determination of synchronous generator nonlinear model parameters based on power rejection tests using a gradient optimization algorithm

A Novel Embedded Based Power Management System

Effects of system nonlinearities on synchronous machine control

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