Fuzzy logic control based Electronic Load Controller for Self Excited Induction Generator

Mishra, Eshani; Tiwari, S. N.

doi:10.1109/icepes.2016.7915925

Cited by 11 publications

(5 citation statements)

References 12 publications

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“…For the simulation, a 7.5 kW, 415 V, 14.8 A, 4-pole induction machine has been used as an induction generator and its parameters are stated in Appendix. Figure 5 shows the performance of the ELC based on fuzzy logic controller Figure 6: Performance of SEIG with fuzzy logic control based ELC connected to nonlinear load [9]. system connected to a balanced reactive load.…”

Section: Resultsmentioning

confidence: 99%

“…The ELC comprises three-legged CC-VSI with an IGBT based chopper switch and a series resistor known as the dump load. The capacitor bank is essential for providing the no load excitation to the SEIG [9]. The designing of the chopper switch and dump load and its parameters are important for smooth and uninterrupted operation of ELC.…”

Section: System Configurationmentioning

confidence: 99%

“…The value of the above gains associated with the voltage open loop system is calculated and given in Appendix [9].…”

Section: Proportional Integral (Pi) Controllermentioning

confidence: 99%

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Comparative Analysis of Fuzzy Logic and PI Controller Based Electronic Load Controller for Self-Excited Induction Generator

Mishra¹,

Tiwari²

2017

Advances in Electrical Engineering

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Rural areas suffer from limited grid connectivity. Small hydroplants can provide electricity at a cheap cost with low environmental impact in these regions. Self-excited induction generators are widely used in hydroplants since they operate on a standalone basis because of the connection of capacitor bank that provides reactive power at no load. However, SEIGs suffer from poor voltage and frequency regulation. Thus, an electronic load controller (ELC) is connected across SEIG to regulate voltage and frequency. Generally, the control scheme for an ELC circuit is based on the conventional proportional integral control, which is easy to implement and performs well under linear load conditions. However, PI controllers handle nonlinearity poorly. This paper presents a fuzzy logic control (FLC) based control scheme for ELC in a constant power generation system (SEIG). The control scheme is designed and simulated in MATLAB under both linear and nonlinear load conditions. A comparison of both the controllers is conducted which highlights the superiority of the fuzzy logic control scheme.

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Section: Resultsmentioning

confidence: 99%

Section: System Configurationmentioning

confidence: 99%

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Comparative Analysis of Fuzzy Logic and PI Controller Based Electronic Load Controller for Self-Excited Induction Generator

Mishra¹,

Tiwari²

2017

Advances in Electrical Engineering

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“…In (Tischer et al, 2015), a three-wire hybrid topology of switchable capacitor banks and distribution static compensator (DSTATCOM) for VSC was presented. The use of electronic controller (ELC) for voltage and frequency control of SCIG have also been presented in (Mishra & Tiwari, 2016;Murthy et al, 2006). Similar procedure of using STATCOM for voltage and frequency regulation via proportional integral (PI), Integrator proportional (IP), and reference signal tracking (RST) controllers have also been presented (Benghanem et al, 2013;Bouzid et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Load Voltage Control of a Wind Turbine-driven Three-phase Squirrel-Cage Induction Generator in an Islanded Microgrid

Kamilu¹,

Olatomiwa²,

Longe³

et al. 2023

Nig. J. Technol. Dev.

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The intermittent nature of the wind resources and reactive power consumptions are major issues associated with squirrel cage induction generator wind power system when operated in an island microgrid mode. The resultant effect of these two issues are continuous fluctuations of load voltage which has adverse effects on electrical devices. This paper proposes a voltage regulation technique based on proportional controller and phase deposition sine pulse width modulation (PDSPWM) for the control of 5-level neutral point clamped multilevel inverter. The instantaneous voltage tracking strategy based on root mean square value of microgrid voltage was adopted to regulate and maintain the output load voltage at 400 𝑉𝑟𝑚𝑠 despite rotor fluctuations with wind speeds. The simulation was carried out in a MATLAB/SIMULINK environment and the performance of the control scheme was found to be excellent.

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“…It is highlighted in [10], [11] the importance of capacitor bank sizing in self-excited three-phase induction generators so that the minimum magnetization capacitance is adequately supplied. The voltage control must not provide reactive magnetization of the induction generator [12], [13], but the voltage control must be responsible for the reactive power demand that the isolated load requests.…”

Section: Introductionmentioning

confidence: 99%

Capacitor Bank Sizing for Squirrel Cage Induction Generators Operating in Distributed Systems

2020

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The design of the capacitor bank to be placed with the squirrel cage induction generator, when operating with a direct connection to the distribution system, is performed from the value of the magnetization reactance of the machine. Based on the experimental procedures, the necessary reactive power is simulated according to the induction generator loading. Therefore, with the increase in generated active power, a larger portion of reactive is required. The simulation indicates the values of ideal capacitors. Thus, an analysis is made of which magnetization reactance factor is ideal for the capacitor bank design designated for the generator. The characteristic curve for capacitor bank sizing is related to the load torque loading depending on the active power generated. Thus, this work contributes to the analysis of the self-excitation curve of the three-phase induction generator that operates in parallel with the steady-state power distribution network. Obtaining the active power generated as a function of the absorbed reactive power required for induction generator magnetization can be found.INDEX TERMS Electric machines, distributed power generation, generators, power generation, power generation economics.

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Fuzzy logic control based Electronic Load Controller for Self Excited Induction Generator

Cited by 11 publications

References 12 publications

Comparative Analysis of Fuzzy Logic and PI Controller Based Electronic Load Controller for Self-Excited Induction Generator

Comparative Analysis of Fuzzy Logic and PI Controller Based Electronic Load Controller for Self-Excited Induction Generator

Load Voltage Control of a Wind Turbine-driven Three-phase Squirrel-Cage Induction Generator in an Islanded Microgrid

Capacitor Bank Sizing for Squirrel Cage Induction Generators Operating in Distributed Systems

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