Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid power system

Saxena, Nitin Kumar; Sharma, Ashwani Kumar

doi:10.1007/s11708-015-0373-7

Cited by 18 publications

(4 citation statements)

References 16 publications

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“…Induction machine is modeled using reactive power as a disturbance vector and voltage as a control vector same as suggested in other works. 1 For estimating these parameters, transient response parameters rise time and settling time are used. The rise time and settling time are evaluated by transfer function of reactive power changing with voltage.…”

Section: Methodology For Estimating Mechanical Parametersmentioning

confidence: 99%

“…Some conceptual explanations to verify the above said statement are listed below: Reactive power influences are more dominated in induction machine because rotating magnetic field is the main process of transforming energy. Rotating magnetic field is developed by the consumption of reactive magnetizing component from the supply network. Reactive magnetizing component affects to machine power factor, and therefore, physical parameters are highly dependent on reactive power structure of the induction machine. The response time of reactive power voltage control (Q‐V loop) is very less compared with active power frequency control (P‐f loop) in any rotating machines. Voltage stability problems are the most prominent problems in power system that requires exact load modeling and suitable excitation system. Hence, influence of reactive power voltage‐based mechanism is more prominent compared with real power frequency and so, the reactive power voltage loop is suggested in this paper for estimating mechanical parameters of induction machine. Induction machine is modeled using reactive power as a disturbance vector and voltage as a control vector same as suggested in other works . For estimating these parameters, transient response parameters rise time and settling time are used.…”

Section: Induction Machine Modelingmentioning

confidence: 99%

“…Power system studies include induction machines as induction generator (for generating power through wind) and induction motor (for developing dynamic load model) in different studies. 1,2 Requirement of accurate induction machine parameters estimation attracts the researchers to involve them for the development of new and innovative approaches for the same. Induction machine parameters can be classified in two broad categories: (1) electrical parameters and (2) mechanical parameters.…”

Section: Introductionmentioning

confidence: 99%

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Analytical approach to estimate mechanical parameters in induction machine using transient response parameters

Saxena

Kumar

2018

Int Trans Electr Energ Syst

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Summary Induction machine is the most popular machine in power system because of its wide range of operations in motor as well as in generator too, and therefore, its accurate parameters estimation and modeling is always required. Induction machine parameters can be classified into two categories: (1) electrical parameters and (2) mechanical parameters. DC test, no load, and block rotor tests are the popular experimental methods to evaluate electrical parameters. To find mechanical parameters such as moment of inertia and damping coefficient, retardation test is performed. In simulation‐based studies, an analytical approach is required for estimating both electrical and mechanical parameters for induction machine directly by using manufacturer data as mentioned by the machine suppliers. Analytical methods for getting electrical parameters have been presented by several authors while procedure for estimating mechanical parameters is almost untouched. This paper presents an analytical approach especially for estimating mechanical parameters of induction machine using transient response parameters along with electrical parameters' estimation followed by initial reference model. Results are obtained for machines of rating 1.1, 3.0, 11, 37.5, and 50 kW. The performances are also validated with the recent published papers that estimate the parameters using experimental procedures.

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Section: Methodology For Estimating Mechanical Parametersmentioning

confidence: 99%

Section: Induction Machine Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analytical approach to estimate mechanical parameters in induction machine using transient response parameters

Saxena

Kumar

2018

Int Trans Electr Energ Syst

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“…The generalized model of three‐phase induction motor is explained in Morfín et al 35 For speed above synchronous speed, an induction motor operates as an induction generator, and so the mathematical modelling for the generator will be the same as for the motor except for some minor changes. For the induction generator, the fifth‐order induction machine's mathematical model is presented in Saxena et al 36 For the balanced operation of the squirrel cage induction motor, the most widely used reference frame is synchronous rotating reference frame, and the same is used in this paper 37 . All parameters are in per unit quantities except for speed, which is in radian per seconds.…”

Section: Modelling Details For Microgrid Componentsmentioning

confidence: 99%

Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM

Saxena¹,

Gao

Sharma

et al. 2022

Circuit Theory & Apps

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This paper presents the genetic algorithm (GA) and particle swarm optimization (PSO) based frequency regulation for a wind‐based microgrid (MG) using reactive power balance loop. MG, operating from squirrel cage induction generator (SCIG), is employed for exporting the electrical power from wind turbines, and it needs reactive power which may be imported from the grid. Additional reactive power is also required from the grid for the load, directly coupled with such a distributed generator (DG) plant. However, guidelines issued by electric authorities encourage MGs to arrange their own reactive power because such reactive power procurement is defined as a local area problem for power system studies. Despite the higher cost of compensation, static synchronous compensator (STATCOM) is a fast‐acting FACTs device for attending to these reactive power mismatches. Reactive power control can be achieved by controlling reactive current through the STATCOM. This can be achieved with modification in current controller scheme of STATCOM. STATCOM current controller is designed with reactive power load balance for the proposed microgrid in this paper. Further, gain values of the PI controller, required in the STATCOM model, are selected first with classical methods. In this classical method, iterative procedures which are based on integral square error (ISE), integral absolute error (IAE), and integral square of time error (ISTE) criteria are developed using MATLAB programs. System performances are further investigated with GA and PSO based control techniques and their acceptability over classical methods is diagnosed. Results in terms of converter frequency deviation show how the frequency remains under the operating boundaries as allowed by IEEE standards 1159:1995 and 1250:2011 for integrating renewable‐based microgrid with grid. Real and reactive power management and load current total harmonic distortions verify the STATCOM performance in MG. The results are further validated with the help of recent papers in which frequency regulation is investigated for almost similar power system models. The compendium for this work is as following: (i) modelling of wind generator‐based microgrid using MATLAB simulink library, (ii) designing of STATCOM current controller with PI controller, (iii) gain constants estimation using classical, GA and PSO algorithm through a developed m codes and their interfacing with proposed simulink model, (v) dynamic frequency responses for proposed grid connected microgrid during starting and load perturbations, (vi) verification of system performance with the help of obtained real and reactive power management between STATCOM and grid, and (vii) validation of results with available literature.

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Modelling for Composite Load Model Including Participation of Static and Dynamic Load

Saxena¹,

Kumar

2020

Studies in Systems, Decision and Control

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Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid power system

Cited by 18 publications

References 16 publications

Analytical approach to estimate mechanical parameters in induction machine using transient response parameters

Analytical approach to estimate mechanical parameters in induction machine using transient response parameters

Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM

Modelling for Composite Load Model Including Participation of Static and Dynamic Load

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