Simple control for a wind-driven induction generator

Wekhande, Shashank; Agarwal, Vivek

doi:10.1109/2943.911189

Cited by 31 publications

(12 citation statements)

References 9 publications

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“…The static VAR compensator (SVC) based on current supply sensing can be used as a reactive power source. It senses the supply current and can be used for a variable-speed, constant-voltage operation [6]. This paper is devoted to propose and study a novel FACTS scheme connected at the load side instead, to improve the power quality.…”

Section: Figure 1: Wind Driven Stand-alone Scigmentioning

confidence: 99%

A novel dynamic voltage regulator compensation scheme for a standalone village electricity wind energy conversion system

Aboul-Seoud

Sharaf

2009

2009 Canadian Conference on Electrical and Computer Engineering

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The growth of environmental concerns, and the rapid increase in electrical power demand, increased interest in renewable energy. Wind energy is a clean, cheap, abundant source that could be utilized in rural areas. However, continuous variation of wind speed results in severe power quality problems, especially in a stand-alone village network. This paper proposes a cheap and robust FACTS based dynamic voltage regulator (DVR) controlled by a tri-loop dynamic error-driven PI controlled PWM. This could be used to improve the power quality in a rural load fed from a wind driven separately excited (SE) squirrel cage induction generator (SCIG). The effect of wind speed and load disturbances on the power quality is illustrated via simulation.Introduction of the DVR to the network establishes a significant enhancement to power quality. The significant improvement is illustrated via comparing the simulation results of the studied network with and without the DVR.

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Section: Figure 1: Wind Driven Stand-alone Scigmentioning

confidence: 99%

A novel dynamic voltage regulator compensation scheme for a standalone village electricity wind energy conversion system

Aboul-Seoud

Sharaf

2009

2009 Canadian Conference on Electrical and Computer Engineering

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“…The magnetizing inductance value is a function of rotor speed and is nonlinear [3] . Hence, it is necessary to determine the range of capacitance value to keep the machine in excitation mode and regulate the generator terminal voltManuscript received March 30, 2010; revised September 26, 2010 age within the limits.…”

Section: Introductionmentioning

confidence: 99%

A reliable and accurate calculation of excitation capacitance value for an induction generator based on interval computation technique

Thakur¹,

Agarwal

Nataraj³

2011

Int. J. Autom. Comput.

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A squirrel cage induction generator (SCIG) offers many advantages for wind energy conversion systems but suffers from poor voltage regulation under varying operating conditions. The value of excitation capacitance (Cexct) is very crucial for the selfexcitation and voltage build-up as well as voltage regulation in SCIG. Precise calculation of the value of Cexct is, therefore, of considerable practical importance. Most of the existing calculation methods make use of the steady-state model of the SCIG in conjunction with some numerical iterative method to determine the minimum value of Cexct. But this results in over estimation, leading to poor transient dynamics. This paper presents a novel method, which can precisely calculate the value of Cexct by taking into account the behavior of the magnetizing inductance during saturation. Interval analysis has been used to solve the equations. In the proposed method, a range of magnetizing inductance values in the saturation region are included in the calculation of Cexct, required for the self-excitation of a 3-φ induction generator. Mathematical analysis to derive the basic equation and application of interval method is presented. The method also yields the magnetizing inductance value in the saturation region which corresponds to an optimum Cexct(min) value. The proposed method is experimentally tested for a 1.1 kW induction generator and has shown improved results.

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“…Since the power and control windings are not physically connected but electromagnetically linked, the influence of the inverter-induced harmonics on the load is minimal. In addition, a PWM converter was used in [5] to supply the desired excitation current to a squirrel-cage IG to maintain constant output voltage as shown in Fig. 1(c).…”

Section: Introductionmentioning

confidence: 99%

Radial Basis Function Network Control WithImproved Particle Swarm Optimizationfor Induction Generator System

Lin

Teng

2008

IEEE Trans. Power Electron.

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This study proposes a radial basis function network (RBFN) controlled three-phase induction generator (IG) system using ac-dc and dc-ac power converters. In this study, first, the indirect field-oriented mechanism is implemented for the control of the IG. The electric frequency of the IG is controlled using the indirect field-oriented control mechanism. Then, an ac-dc power converter and a dc-ac power inverter are adopted to convert the electric power generated by a three-phase IG from variable-frequency and variable-voltage to constant-frequency and constantvoltage. Moreover, two on-line trained RBFNs using backpropagation learning algorithm with improved particle swarm optimization (IPSO) are introduced as the regulating controllers for both the dc-link voltage and the ac line voltage of the dc-ac power inverter. The IPSO is adopted in this study to adapt the learning rates in the backpropagation process of the RBFNs to improve the learning capability. By using the proposed RBFN controller with IPSO, the IG system can employ for stand-alone power application effectively. Finally, some experimental results are provided to show the effectiveness of the proposed IG system. Index Terms-Induction generator (IG), particle swarm optimization (PSO), power converter, radial basis function network (RBFN).

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Simple control for a wind-driven induction generator

Cited by 31 publications

References 9 publications

A novel dynamic voltage regulator compensation scheme for a standalone village electricity wind energy conversion system

A novel dynamic voltage regulator compensation scheme for a standalone village electricity wind energy conversion system

A reliable and accurate calculation of excitation capacitance value for an induction generator based on interval computation technique

Radial Basis Function Network Control WithImproved Particle Swarm Optimizationfor Induction Generator System

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