Predictive Synchronous Generator Excitation Control Based on Laguerre Model

Skultety, J.; Miklovičová, Eva; Bars, Ruth

doi:10.2478/jee-2013-0025

Cited by 4 publications

(7 citation statements)

References 13 publications

(13 reference statements)

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“…Introduction of additional feedback will allow boosting of excitation of generator in advance, thereby reducing the voltage dip that occurs during starting-up of asynchronous motor. Simulation of the preemptive control over 259 MVA synchronous generators as part of the nuclear power plant was considered in [23]. But in this model, current feedback is introduced, and preemptive control is performed after perturbation influence appears.…”

Section: Analysis Of Publications On Research Topicmentioning

confidence: 99%

“…Also, analytical method of calculation proposed in this paper is associated with a large number of calculations. The main task of the predictive controller considered in [23] consists in reduction of electromagnetic torque fluctuations, and not in reduction of voltage dips. As noted in [24], electric power systems are multidimensional and multichannel systems.…”

Section: Analysis Of Publications On Research Topicmentioning

confidence: 99%

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Development of the system of preemptive control over excitation of a synchronous generator to reduce voltage dips when starting-up asynchronous motors

Al-Suod¹

2018

ELECTROTECHNICAL REVIEW

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The necessity of preliminary estimation of the value of voltage dip arising at starting-up of asynchronous motor commensurate in power with operating diesel-generator sets as part of the ship electric power system is justified. The model of ship electric power system with a modified in real-time mode configuration is developed. The process of direct starting-up of asynchronous motor is simulated, and the values of voltage dips for various values of voltage and time of excitation boost of the synchronous generator are determined. It is established that there are optimum values of the magnitude and time of boosting of excitation voltage of the synchronous generator, where voltage dip in the network is minimal. The obtained results enable assessing in the process of monitoring and management of ship electric power system of the possible consequences of direct starting-up of asynchronous motor on the network voltage under current conditions, and based on them deciding on whether to connect the additional diesel generator to the network or disconnect the least essential consumers of electricity from the network to provide generated capacity reserve. Streszczenie. Zbadano możliwości zapadu napięcia w systemie okrętowtm generatora współpracującego z silnikiem diesla. Symulowano generator asynchroniczny podłączony do sieci dla różnych warunków startu. Określono optymalna wartość napięcia wspomagającego zapewniającą minimalne zapady napięcia. System wyprzedzający sterowania wzbudzeniem generatora synchronicznego umożliwiający zredukowanie zapadów napięcia podczas startu silnika asynchronicznego

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Section: Analysis Of Publications On Research Topicmentioning

confidence: 99%

Section: Analysis Of Publications On Research Topicmentioning

confidence: 99%

Development of the system of preemptive control over excitation of a synchronous generator to reduce voltage dips when starting-up asynchronous motors

Al-Suod¹

2018

ELECTROTECHNICAL REVIEW

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“…Lots of excitation control approaches have been widely applied in power system generator, such as robust excitation control [1], optimal excitation control [2,3], intelligent excitation control [4], model predictive control (MPC) [5] and so on.…”

Section: Introductionmentioning

confidence: 99%

Excitation prediction control of multi‐machine power systems using balanced reduced model

Zhao

Xiaoming

Ning

et al. 2014

IET Generation, Transmission & Distribution

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A multi-machine power system excitation predictive control method using balanced reduced model is presented. First, the theory of empirical Gramians balanced reduction was used to reduce the orders of power system non-linear dynamic model to save the time-solving of open-loop optimisation in model predictive control. Then, it used the minimum deviation of system output(state) and control input as the control objective, using the non-linear reduced system sampling linearisation model as equivalent constraints and the change limits of system output and control input as unequivalent constraints to establish the excitation predictive control model based on reduced model. Next, the interior-point method was used to solve the optimal control problem. Finally, took advantage of a four-machine power system to verify the effectiveness of the predictive control method, and the simulating results show that excitation predictive control method using balanced reduced model for the multi-machine power systems can greatly shorten the optimisation time-calculating, meanwhile maintain the voltages of generator terminals within the set points and have a better control performance than traditional excitation control.

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“…It is one of the most efficient methods to improve power system stability. Lots of excitation control approaches have been applied to power system generators [1][2][3][4][5], such as robust control, optimal control and model predictive control (MPC).…”

Section: Introductionmentioning

confidence: 99%

“…MPC is an open-loop optimization and close-loop control method based on a system dynamic model [5][6][7][8][9][10][11][12][13][14][15][16][17]. It can use multi-step prediction technique to predict the dynamic change trend of the system.…”

Section: Introductionmentioning

confidence: 99%

A fast multi-step prediction and rolling optimization excitation control method for multi-machine power system

Zhao

Xiaoming

2017

Teh. vjesn.

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Original scientific paper A fast excitation predictive control method for multi-machine power system is presented. The multi-step prediction technique is realized via system dynamic model. Some inequality constraints on states, inputs and outputs are considered in rolling optimization. The Gramian balanced reduction technique and the improved optimization algorithm are used in order to save the time of open-loop optimization in model predictive control. A 50machine power system is used to verify the effectiveness of this approach. Compared with simulated results under different controllers, this method can greatly reduce the calculating-time. The voltages of generator terminals are maintained within the set points. The stability of power system is improved.

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Predictive Synchronous Generator Excitation Control Based on Laguerre Model

Cited by 4 publications

References 13 publications

Development of the system of preemptive control over excitation of a synchronous generator to reduce voltage dips when starting-up asynchronous motors

Development of the system of preemptive control over excitation of a synchronous generator to reduce voltage dips when starting-up asynchronous motors

Excitation prediction control of multi‐machine power systems using balanced reduced model

A fast multi-step prediction and rolling optimization excitation control method for multi-machine power system

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