Fuzzy Logic Technique For Pq Improvement

It is observed that the power factor is maintained closer to unity when the input voltage is reduced from 230V to 110Vrms. Figure 11 (a) and (b) shows the power factor correction of controller for various load condition such as 20% (60W) and 75% (230W). The power factor for the system is found to be 0.84 for light load condition and 0.99 for full load condition. The THD of input current at full load with predominant third and fifth harmonic components are shown in Figure 12(a) and (b).Third harmonics is found to be 4.8% and fifth harmonic component is 4.9% which are well within IEC 61000-3-2 standard during wide range of load variations. The variation in power factor with load is shown graphically in Figure 13(a). It can be inferred from the graph that improved resettable control operates at high power factor for all load condition whereas the conventional PI control has poor power factor under light load conditions. Figure 13(b) shows the comparison between the efficiency of the converter for varying load conditions with the conventional control method and the resettable integrator control. The converter’s efficiency is maintained at 92% for light load conditions and 96% for fully loaded condition with integrator control technique. Thus the improved resettable integrator controller provides a very simple and reliable solution for power factor correction and

Fig. 5.12. Control of the dc–dc converter with FLC to produce less power under voltage sag: grid voltages, related grid currents, related dc-link

L.A. Zadeh, Fuzzy Sets [33] In 1965 the concept of fuzzy logic was first introduced by the Professor Lotfi A. Zadeh in the University of California, Berkeley [33]. Fuzzy logic is a powerful design system for implementing the artificial intelligence in the controller which provides simple and intuitive method for software engineers to implement logic in complex systems. This concept had been given in one amongst his research papers under the name Fuzzy logic or Fuzzy sets.

It is of great importance in our industries to cut the cost of power controlling with high efficiency and PWM satisfies this criteria. Therefore, it is

This chapter is a critical review of the literature on the subject matter of AQ and its operations. It is meant to locate the current study in the body of knowledge by establishing the extent to which this subject has been researched. Since a study is only as good as it is capable of contributing to the body of knowledge, it is imperative that the present study’s contribution to the body of knowledge is ascertained. Otherwise it is a study in vain.

Basic principle of this type of configuration is isolation of harmonics in between nonlinear load and source. The basic configuration is similar with shunt APF, except that interfacing inductor is replaced by an interfacing transformer, where the injection of harmonic voltage occurs. It is otherwise known as a harmonic isolator, which offers zero impedance to the fundamental and infinite impedance to the harmonic frequency components. Fig. 3.5 demonstrates the basic configuration of a series APF. Series APF is suitable for improving the quality of the distribution source

And are fundamental frequency positive-, negative-, and zero-sequence components, respectively, and is the harmonic component of the bus voltage. According to control objectives of the MC-UPQC, the load voltage

Fuzzy Logic provides a completely different approach. One can concentrate on solving the problem rather than trying to model the system mathematically, if that is even possible. This almost invariably leads to quicker, cheaper solutions. Once understood, this technology is not difficult to implement and the results are usually quite surprising and more than satisfactory.

In IT Foundations, I was assigned by Mrs. Baumaster to watch the video Fuzzy Thinking. The speaker in this video is an Astrophysicist by the name of Neil deGrasse Tyson. In the video, Fuzzy Thinking he talked about many things like what was wrong with the misspellings of the word Cat and about his choice between hiring two workers. The video did not seem very interesting at first but as I watched it, the video got more and more interesting. Tyson is a very good presenter in the video because he made it interesting and fun to listen to him. All in all, this video was a great way to get his message out on how people think.

Abstract: In this paper multi machine concept is taken for fault ride through (FRT) improvement. Here FRT capability improvement of two wind generator are considered and two wind farms are connected with multi machine. This paper incorporates a detailed mathematical model for wind turbine and it shows how input wind is converted to power and how bet’z limit varies with wind. As a soft computing technique, fuzzy logic controller is used at grid side for voltage control. Crow bar protection concept is applied and implemented between machine and greed side converters. Ground fault is created in simulation and control technique helps to improve this FRT capability due to fault which we can say due to network disturbance.

(AI-Jamimi, H. A., & Ahmed, M. ,2013, June) present a generic procedure for building fuzzy-based quality prediction models. The process is serve as quality assessment framework that practitioners can use according to the data available.

Abstract: The quality-based approach SQFE (Suivi Qualite Par le Fournisseur Exterieur) has been introduced by three automotive corporations to measure the quality of supplier products. This approach proposes a general criterion by which inspection samples are classified to different demerit categories with different weights, to compute mean unit demerit for each measurable quality characteristic. However, the assignment of an actual and crisp demerit weight to each sample is unrealistic, in the face of the unavoidable measurement errors as well as the inevitable uncertainty involved in human judgment. In this paper an improved estimation procedure which is based on fuzzy logic instead of bivalent logic, is presented to calculate s. The fuzzy set theory is used to add more accuracy and flexibility to the analysis. For this aim, “likelihood view” has been adapted to generate fuzzy membership function, in order to assign the appropriate demerit weight to each sample. In addition, a numerical example that evaluates products based on the proposed method and compares it with the current standard procedure is presented.

Wind power plant induction generator is viewed as a consumer of reactive power. Its reactive power consumption depends on active power production. Conventionally, shunt capacitor banks are connected at the generator terminals to compensate its reactive power consumption. In some schemes, shunt capacitor banks could be automatically switched on/off by using feedback signal from generator reactive power. The capacitor switching is triggered through an algorithm if a generator reactive power is outside an allowed dead-band for a specified time period. Further on, continuous voltage control and reactive power compensation at the point of the WECS network connection is provided by using FACTS-based device. Among FACTS devices, the Unified Power Flow Controller (UPFC) is chosen due to its versatile regulating capabilities. The UPFC consists of shunt and series branches, which could be interchangeably used. Being located at the point of the WECS connection to the distribution network, it is made possible to simultaneously control the WECS bus voltage magnitude and/or series reactive power flow that WECS exchanges with the network. This countermeasure is expected to contribute in making assessed wind site viable for connecting larger number of wind turbines.

APPLICATION OF FUZZY RULE BASED SYSTEM IN LEAN CONSTRUCTION IN HIGHWAY PROJECTS: A CASE STUDY IN INDIA

Abstract: Load frequency control problem is considered as one of the most important issues in the design & operation of power systems. Due to lack of good efficiency in parameters variation conditions, working conditions of system and non-linear factors, a simple PI controller is not suitable in industrial applications. Instead, fuzzy controllers can be used in order to enhance the performances of the systems. In this paper, the use of the optimized type-1 fuzzy logic controller using Particle Swarm Optimization (PSO) algorithm is proposed to solve the load frequency control problem. To the best of our knowledge, the PSO optimization of fuzzy type-1 controller in order to solve load-frequency control problem, has not been investigated so far. The proposed controller has good performance and is capable to solve the load-frequency control problem in conditions of wide variations of system parameters and nonlinear factors such as generation rate constraint. Simulation results show that the optimized fuzzy controller proposed in this paper exhibits better performance compared to PI controller in damping of system deviations.