A laboratory Realization of Control Systems of Capacitor Self-Excited Induction Generator (original) (raw)
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Fuzzy Algorithm for Supervisory Control of Self-Excited Induction Generator
Journal of King Abdulaziz University-Engineering Sciences, 2006
This paper presents an application of Fuzzy Logic Controller (FLC) to regulate the reactive-power of the Self Excited Induction Generator (SEIG) driven by Wind Energy Conversion Schemes (WECS). The proposed FLC is used to tune the integral gain (K I ) of Proportional plus Integral (PI) controller. Two types of controls, for the generator and the wind turbine, using FLC algorithm have been introduced in this paper. The reactive-power control is performed to adapt the terminal voltage via self excitation. The active-power control is conducted to adjust the stator frequency through tuning the pitch angle of WECS blades. Both controllers utilize the Fuzzy technique to enhance the overall dynamic performance. The simulation result depicts a better dynamic response for the system under study during the starting period, and load variation. The percentage overshoot, rising time and oscillation are improved by the fuzzy controller compared to that with PI controller type.
Modelling and simulation of self-excited induction generator driven by a wind turbine
Eastern-European Journal of Enterprise Technologies, 2020
The excellent specifications of the isolated squirrel cage self-excited induction generator (SEIG) make it the first choice for use with renewable energy sources. However, poor voltage and frequency regulation (under load and speed perturbations) are the main problems with isolated SEIGs. Wide dependence on the SEIG requires prior knowledge of its behaviour with regard to variations in the input of mechanical power and output of electrical power to develop a control system that is capable of maintaining the voltage and frequency at rated values, as far as possible, with any change in the input or output power of the SEIG. In this paper, a mathematical model of a wind energy conversion system (WECS) based on a squirrel cage SEIG with a generalized impedance control (GIC) was built using the Matlab/ Simulink environment in a d-q stationary reference frame. A fuzzy logic controller (FLC) was used to control the parameters of the GIC. The training of the FLC was conducted by a neural network through Matlab's Neuro-Fuzzy designer. The results of this paper showed that the trained FLC succeeded in controlling the real and reactive power flow between the SEIG and the GIC system, in which the maximum variation for both magnitude and frequency of the generated voltage with any load or wind speed perturbation will not exceed (0.2 %) for the frequency and (3 %) for the voltage magnitude in both directions. The SEIG model was validated by comparing the results obtained with those of wellknown studies with the same rating and operating conditions
Classical and Modern Control Systems of Self-Excited Induction Generator
2007
The main objective of this paper is to design a computerbased controller for the capacitor self-excited induction generator (CSEIG) using terminal capacitors. The generator is assumed to be a power source in an isolated system. System voltage regulation will be the major requirement of the designed controller. This will be achieved by regulating the generator exciting capacitance in response to changes in system operating conditions. An implementation of three types of controllers; PI, PID and Fuzzy Logic Controllers (FLC) is developed. The influence of these control methods on the performance characteristics of the system under consideration is examined. Also, a computer simulation using the MATLAB package is designed to assist the experimental decision for the best control action. The obtained simulation and implementation results are investigated and discussed.
Advances in Electrical Engineering
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 bo...
Arabian Journal for Science and Engineering, 2012
This paper introduces a new hybrid controller using artificial intelligence (AI) techniques to improve the dynamic performance of the self-excited induction generator "SEIG" driven by wind energy conversion scheme "WECS". The hybrid AI compromises a genetic algorithm (GA) and fuzzy logic controller (FLC). The role of the GA is to optimize the parameters of the fuzzy set to ensure a better dynamic performance of the overall system. The proposed controller is developed in two loops of the WECS scheme under study. The first loop is used to regulate the terminal voltage, by adjusting the self-excitation. This controller represents the reactive power control. In this case, the FLC will utilize the error and its change in terminal voltage to regulate the duty cycle of the capacitor bank. The second loop is used to adjust the mechanical power, by adapting the blade angle of WECS. Here, the FLC uses the frequency error and its change to adjust the blade angle of the wind turbine to control the active power input. The simulation results, which cover a wide range of electrical and mechanical disturbances, depict the effectiveness of the proposed controller compared with other AI techniques.
PI and Fuzzy DC Voltage Control For Wind Pumping System using a Self-Excited Induction Generator
2016
Self excited induction generator has become very popular for generating power from renewable energy source in isolated areas, Their main disadvantage is poor voltage regulation under varying speed and load condition, This paper present indirect vector control strategy using DC voltage regulators proportional integral (PI), classical and Fuzzy, applied to the wind pomping system using a Self-excited induction generator (SEIG ), The comparison between the two methods under the same conditions is illustrated by simulations. Key-Words: Wind pumping system, DC motor pump, Self-excited Induction generator, PI controller, Fuzzy logic controller.
2010
In this paper a line excited cage generator is considered which is connected with the grid through a bidirectional PWM converter-inverter system. The generator is controlled by indirect field oriented control (IFOC) scheme. Fuzzy logic controllers (FLC) are used for the control purpose. The first FLC is used in the outer speed loop to track the generator speed with the reference speed for maximum power extraction and the second and third FLCs are used in the inner current loops for control of active and reactive power. The FLCs use normalized values of error and change of error as their inputs. The outputs of the FLCs are again multiplied with gains to give the control signals. A trapezoidal membership function is taken for the error input and triangular membership functions are taken for change of error as well as output. Again a robust self tuned fuzzy logic controller (STFLC) scheme is used in place of the FLCs. In this scheme a tuning FLC (TFLC) is used to tune the output gain o...
In recent years power generation from renewable energy sources has gained importance in view of supplementing the power obtained from conventional sources. Out of all the renewable energy sources, wind energy conversion system is the greatest contributor to the power generations. During the recent years use of variable speed of the wind turbine is gaining much more importance than the fixed speed wind turbine. Important factors regarding variable speed operation are that it is easy to control and is even more efficient. Therefore, it is important to study the machine modelling of the double fed induction generator (DFIG) for a wind energy conversion system (WECS). One of the major areas in renewable power control includes the grid connected DFIG based WECS. Typically a DFIG based WECS consists of a Wind turbine connected to a DFIG and then the turbine-coupled DFIG is connected to the grid through a power electronic AC-AC converter. In this Paper a grid connected wind energy conversion system using a simple PI controller is developed and then a fuzzy PI controller is designed to resolve the problem. Finally a comparison has been made to fuzzy controller from the simulation results, observing the efficiency of variation of DC link voltage variation.
Electronic Load Controller for Self Exited Induction Generator Using Fuzzy Logic Controller
This paper deals with the electronic load controller for self exited induction generator using fuzzy logic controller. The self-excited induction generators (SEIGs) are considered to be well suited for generating electricity by means of conventional energy sources and for supplying electrical energy in remote and rural areas. Induction generators have many advantages such as cost, reduced maintenance, rugged, and simple construction, brushless rotor (squirrel cage). A three phase induction generator can be operated on a delta connection for supplying single phase loads. The main disadvantage of SEIG has is that it poor voltage regulation, and its value depends on the prime mover speed, capacitance, load current and power factor of the load. The electronic load controller (ELC) can be used for maintaining constant voltage and frequency of SEIG with variable consumer load driven by constant prime mover. This paper presents the simulation design and implementation of ELC using fuzzy logic method for an SEIG feeding single-phase load. The ELC consist of a rectifier, IGBT as a chopper switch, PI controller, voltage sensor, and resistive dump load in which power consumption was varied through the duty cycle of the chopper. However an ELC consist of electronics system, in general, has complex nonlinear model with parameter variation problem, and the control need to be very fast. The fuzzy logic based controller gives nonlinear control with fast response and virtually no overshoot. The simulation of ELC for self exited induction generator is carried out on MATLAB/SIMULINK. By this proposed ELC using FLC for SEIG we can maintain the constant voltage and frequency of SEIG with variable consumer load.
Fuzzy Algorithm for Supervisory Voltage/Frequency Control of a Self Excited Induction Generator
2006
controller. Two types of controls, for the generator and for the wind turbine, using a FLC algorithm, are introduced in this paper. The voltage control is performed to adapt the terminal voltage via self excitation. The frequency control is conducted to adjust the stator frequency through tuning the pitch angle of the WECS blades. Both controllers utilize the Fuzzy technique to enhance the overall dynamic performance. The simulation result depicts a better dynamic response for the system under study during the starting period, and the load variation. The percentage overshoot, rising time and oscillation are better with the fuzzy controller than with the PI controller type.