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Electricity is the need of hour today. As demand of electricity is increased day by day, we have to switch towards non-conventional energy resources. Self-excited induction generator is most commonly used electrical machines these days for converting wind energy to electrical energy. But there is major challenge in converting wind energy to electrical as self-excited induction generator works only when it comes under saturation region. Maintaining of magnetizing reactance and generated frequency is required for calculating the performance of this self-excited induction machine In this work various method for calculating the performance of machine is discussed as various soft computing techniques are used to find the generated frequency reactance and Magnetizing reactance Requirement of capacitor is also discussed in this work for starting of SEIG. [ABSTRACT FROM AUTHOR]

Use of computer is increasing day by day and it is impossible to live in this time without use of technology. In this time of covid 19 only technology saves the world. All schools and offices are working and online mode. All these things are possible with high-speed internet and wireless transmission system. Industries which are on the verge of closing in this pandemic are now looking toward more technologies for non stop working. From the starting of industrial revolution to till date there are lot of changes which are briefly discussed in this work the discussion is also done about industry revolution 1 to industry revolution5. Due to these latest technologies, we are moving towards industry 6. This work discusses the major advantage of use of IOT in this high-speed industry with the emphasis is given to advantages in industry. [ABSTRACT FROM AUTHOR]

This generator has potential to generate electrical power at varying speed and load. Due to this it is used as wind energyconversion device in remote areas where there is large amount of wind is blowing. It is very necessary to determine the behavior of SEIG at its actual workingcondition. Therefore, it is essential to determine the behavior of SEIG under actual operating conditions. but this will take too much time and lengthy numericalcalculations. Inthis thenovel technique called as Adaptive Neuro Fuzzy Interface System. This technique isexamining the performance of this generator under resistive load. This technique is implemented to forecast the effect of variable speed, load, capacitance on output voltage. Investigational data is used to train the ANFIS. The consequencesobtain are compare with the investigationalresults. This assessmentconfirms the legitimacy and correctness of ANFISbase technique for self-excited induction generator analysis. [ABSTRACT FROM AUTHOR]