Wind Driven Induction Generation Energy Saving of Single Phase Induction Motor Drives Using Multi Objective Genetic Algorithm Optimization

نویسندگان

  • Adel M. Sharaf
  • Adel A. A. Elgammal
چکیده

The paper presents a novel self adjusting wind energy utilization scheme using a modified single phase operation of the three phase induction generator. The proposed scheme is supplemented by a voltage stabilization switched filter compensation schemes which is controlled by a dynamic Multi Objective Genetic Algorithm MOGA error driven self adjusting PID controller. The Green Plug Filter Compensator GPFC schemes are equipped with a dynamic online error driven optimally tuned PID controller that ensures improved power factor, reduced feeder losses, stabilized voltage, minimal current ripples and efficient energy utilization/conservation with minimal impact on the host electric grid security and reliability. The scheme is suitable for small scale applications of wind energy utilization in the range from 5-25 KVA.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Efficiency Improvement of Induction Motor using Fuzzy-Genetic Algorithm

In most industrial zones, electric energy is one of the most important energy sources. Since electrical motors are the main energy consumers of industrial factories, consumption optimization in these motors can be considered as a main option related to energy saving. One very effective way to reduce the consumption of these equipment is to use a motor speed controllers or drives. Since the loss...

متن کامل

Optimal design of squirrel cage induction motor using multi-objective Salp Swarm Algorithm

The design of three-phase induction motors is a challenge in electrical engineering. Therefore, new design techniques are continuously provided. Since the design of the induction motors is carried out for different purposes, it is difficult to find a method that can addresses all the targets. Nowadays, the normal methods used to solve multi-objective problems are the optimization strategies. In...

متن کامل

A New Multi-Objective Optimization Method Based on Genetic- Fuzzy Algorithm and its Application in Induction Motor Speed Control

In this paper, a new method based on genetic-fuzzy algorithm for multi-objective optimization is proposed. This method is successfully applied to several multi-objective optimization problems. Two examples are presented: the first example is the optimization of two nonlinear mathematical functions and the second one is the design of PI controller for control of an induction motor drive supplie...

متن کامل

A New Multi-Objective Optimization Method Based on Genetic- Fuzzy Algorithm and its Application in Induction Motor Speed Control

In this paper, a new method based on genetic-fuzzy algorithm for multi-objective optimization is proposed. This method is successfully applied to several multi-objective optimization problems. Two examples are presented: the first example is the optimization of two nonlinear mathematical functions and the second one is the design of PI controller for control of an induction motor drive supplie...

متن کامل

Optimal Design of Single-Phase Induction Motor Using MPSO and FEM

In this paper, a new approach is proposed for the optimum design of single-phase induction motor. By using the classical design equations and the evolutionary algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Modified Particle Swarm Optimization (MPSO), a Single Phase Induction Motor (SPIM) was designed with the maximum efficiency. The Finite Element Method (FEM)...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010