Parameter polyoptimization of PSS2A power system stabilizers operating in a multi-machine power system including the uncertainty of model parameters

Paszek, S.; Nocoń, Adrian

doi:10.1016/j.amc.2014.12.013

Cited by 21 publications

(17 citation statements)

References 7 publications

(19 reference statements)

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“…In the second substage, there were determined the gains K 6-8 and the time constants T [12][13][14] . The waveforms of the turbine mechanical power (output signal) were included in the objective function (8).…”

Section: Parameter Estimation Resultsmentioning

confidence: 99%

“…Such a serial connection of genetic and gradient algorithms eliminates the basic drawbacks of both optimization methods. The use of a genetic algorithm in the first stage of searching the minimum of the objective function eliminates the problem of precise determination of the starting point [13,14], whereas a gradient algorithm used in the second stage converges much faster towards the searched extremum [15].…”

Section: The Algorithm Used In the Estimation Processmentioning

confidence: 99%

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Mathematical model parameter estimation of a generating unit operating in the Polish National Power System

Majka

Paszek

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. In the paper, a method and results of parameter estimation of the mathematical model of a generating unit operating in the Polish National Power System are presented. Computations of the parameters were carried out based on measurement and simulation of dynamic waveforms of selected quantities of the generating unit. The problem of parameter identification was brought to minimization of the objective function determined by the vector of deviations between the approximated and approximating waveforms computed on the basis of the models expressed by the searched parameters. A hybrid optimization algorithm, being a serial combination of genetic and gradient algorithms, was used for minimization of the objective function. A methodology for filtering the recorded measurement signals is proposed in the paper. Method and results calculation of the sensitivity to changes of the model parameters of selected dynamic waveforms are also presented.Key words: power system, generating unit, optimization, study of dynamic models. Mathematical model parameter estimation of a generating unit operating in the Polish National Power System Mathematical description of generating unit elementsA generating unit operating in Pątnów Power Plant -a steam turbine driving TWW-200 turbo generator, together with an electro-machine excitation system consisting of a three-phase induction exciter, a diode rectifier and a voltage regulator -was chosen as a representative of generating units operating in the PNPS. The classical mathematical model of a synchronous generator expressed by reactances and time constants in the d and q axis, including saturation of the machine magnetic circuit, is a model representing the turbo generator installed in a power plant. This model was used for simulation calculations. The state and output equations of the generator model together with a detailed description are presented in [1,2,3].The model of the electro-machine excitation system installed in Pątnów Power Plant consists of three submodels: the model of the voltage regulator, the model of the exciter with an additional regulator and the model of the excitation voltage forming system (Fig. 1). In the schematic diagram in Fig. 1

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Section: Parameter Estimation Resultsmentioning

confidence: 99%

Section: The Algorithm Used In the Estimation Processmentioning

confidence: 99%

Mathematical model parameter estimation of a generating unit operating in the Polish National Power System

Majka

Paszek

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…Non-standard software is particularly useful where novel and original equipment is used. As a result, a computer with such software is used to receive electronic signals, collect data, record measurement results, create and run databases or perform specific procedures, calculations and other activities [22][23][24][25][26].…”

Section: Original Control Programmentioning

confidence: 99%

Diagnostic approach in assessment of a ferroresonant circuit

Majka

Klimas

2019

Electr Eng

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This paper presents possibilities offered by a diagnostic system called FeD. The system is completely original; it has been developed by the authors on the basis of Arduino platform. The system has been designed to perform and record measurements and to carry out different numerical operations. The real-time function for several operations is incorporated in this system. The necessary input data for the system consist of the electrical voltage waveforms only. Rescaled voltage quantities can be displayed, measured, recorded or computed in any chosen way. The system has been developed particularly for measurements and computations in the ferroresonant circuits. The strongest part of the system is its versatility. It works with a standard PC and supports a universal connection (USB standard). This is undeniably a cost-wise solution. Driving and control of the system functions are carried out using the authors' original software implemented in SciLab environment. This is free software, similar to and compatible with other existing CAD programs such as Octave and MATLAB. The obtained data, scripts and results can be freely transferred between them. The program is equipped with a transparent GUI. The need of constructing a special system to diagnose the ferroresonant circuit has emerged during earlier ferroresonance analyses and computations. Every ferroresonant circuit requires specific kind of diagnostics to estimate and display its base features in order to determine the best scientific approach to the problem. The ferroresonance phenomenon belongs to the domain of nonlinear problems. Its analysis requires excellent skills in mathematics and physics as well as computer science. Moreover, this subject also requires specialized engineering knowledge, particularly in the field of power engineering and power system equipment. Modern mathematical models and analyses used in ferroresonant computations are quite accurate; however, in case of a common user, they are often difficult to understand or implement. This paper provides full description of construction, features and test results of the developed hardware/software system designed for diagnostics of ferroresonant circuits. The test circuit case study has been performed in the entire power supply range. Results of measurements and computations as well as screenshots captured from authors' original software are shown in different figures. The developed software and recorded data have been finally used in modeling and further simulations. During this, the application of the fractional derivative iron core coil model to ferroresonance analysis has been shown. The waveforms obtained from computer simulations have been compared with those obtained from measurements performed in the test circuit.

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“…Many papers have been published in the field of parameter tuning using metaheuristic algorithm. A method based on GA to tune PSS parameter is presented in [12]. The application of particle swarm optimization for sizing battery energy storage in micro grid system is reported in [13].…”

Section: Introductionmentioning

confidence: 99%

Intelligent SMES based on Flower Pollination Algorithm on Wind Power System for Dynamic Stability Enhancement

2022

IJIES

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Integration of large-scale wind power plant (WPP) in transmission level is becoming reality due to reduce dependency on fossil fuels resources. Although, WPP could provide clean and sustainable energy, they also contribute in instability of power system especially on small signal stability due to uncertainty of the power output. Hence, utilizing additional devices such as energy storage can be considered to handle the uncertainty power output of WPP. This paper proposes an application of superconducting magnetic energy storage (SMES) as an additional device to provide a better damping of frequency oscillation and enhance the small signal stability performance of a power system affected by integrating of large-scale WPP. To get better performance, the parameters of SMES are automatically adjusted by using flower pollination algorithm (FPA). Eigenvalue, damping performance and time domain simulation are investigated to analyze the robustness and successfulness of the proposed method. From the simulation result, it is found that the proposed method (adding SMES on WPP using FPA) can enhance the small signal stability performance of the system. It is indicated by the TKE value of the proposed method is the smallest compared to the other scenarios (0.000017).

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Parameter polyoptimization of PSS2A power system stabilizers operating in a multi-machine power system including the uncertainty of model parameters

Cited by 21 publications

References 7 publications

Mathematical model parameter estimation of a generating unit operating in the Polish National Power System

Mathematical model parameter estimation of a generating unit operating in the Polish National Power System

Diagnostic approach in assessment of a ferroresonant circuit

Intelligent SMES based on Flower Pollination Algorithm on Wind Power System for Dynamic Stability Enhancement

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