Providing quality and reliable power supply to the customers is the vital role in the power system. To deliver the economic and uninterrupted supply to the customers, the concept of restructuring the power system is an efficient notion to evaluate. The reliability of the power system can be checked by the reliability index. The chronological load model is introduced to evaluate reliability index in the vertical and restructured power system. There are many compensators, reactors and capacitor banks employed to control the power flow, but FACTS plays a superior role to control the power flow parameters. To examine the improvement in the reliability index, FACTS devices can be located at the optimal location. The ideal location to install the FACTS can be identified from the power flow analysis with required constraints and the corresponding reliability index will be calculated using chronological load model. Economic operation of transmission and the distribution was also achieved by using FACTS devices. The proposed assessment reveals that the objectives of power system reliability parameters in the deregulated power system can be achieved by the chronological load model.

Plug in hybrid vehicles is a special kind of vehicle which uses two sources of energy for its day-to-day commutation. Batteries are charged using the power grid which runs the motor, thereby reducing the amount of fuel needed for the internal combustion engine. It is essential to design a bidirectional ac-dc converter for this function, with which the battery can be recharged from the grid, battery energy can be used to inject back to the grid when required and an overall ac stabilization. In this article, the PHEV bi-directional ac-dc converter design specs are discussed: Basically, two topologies are used for PHEV, these topologies are analyzed. Creating an efficient bi-directional AC-DC converter for plugin hybrid electric vehicle is discussed. The simulation result under MATLAB/SIMULINK shows the working characteristic of bi-direction ac-dc converter.

Abstract FACTS devices are extensively employed to enhance power system quality and security. They are capable of exchanging limited real power even though they have real and reactive power exchanging capability with power system. The main reason for the limited ability to exchange real power is not considering energy storage device. In FACTS devices STATCOMs are most commonly employed because of many advantages. STATCOMs coupling with Energy Storage Devices (ESD) like batteries, Supercapacitor, flywheels, semiconductor magnetic energy storage (SMES) were initiated to increase real power exchanging capability with the power system. Because of slow chemical reaction batteries the power discharging capability is limited. Present trend is to employ energy storage for short term to improve dynamic stability. Supercapacitor ESD will help in the dynamic stability and quality with STATCOMs. Even though they have less energy storing capability power exchanging capability is large when comparison with batteries. In this paper design of energy storage system with Supercapacitor is discussed and coupling with bi dc/dc converters with controlled strategies. To control the SCESS system a peak current mode controller is used. SCESS system is constructed in MATLAB simulink and results with Supercapacitor and without Supercapacitor are discussed in this paper.

The aim of the project is to estimate the position and orientation of a moving platform in a 3D environment which is of significant importance in many areas such as robotics, sensing, surveillance and Unmanned Aero Vehicles. In order to perform this, one can employ single or multiple sensor fusions to improve the accuracy of estimation and to compensate for individual sensors deficiencies. We are using camera surveillance controller system in which we control the movement of the camera and it is live video streaming to a remote location. The camera is made to view +180 to -180° by using servomotor. The GPS and IMU sensor modules are implanted onto the model for controlling and monitoring the flight. Wireless technology allows viewing remotely and controlling the flight as required. This paper focuses on LOW-COST WIRELESS SURVEILLANCE for improved security, more flexible and efficient systems.

In many industrial and medical applications, during the image acquisition, transmission and signal conversion, the image gets corrupted with impulse noise. For a clear and pleasing visual appearance of the image, a “Simple Edge Preserved Denoising Technique” (SEPD) is proposed to remove the impulse noise in the image. This technique achieves excellent tradeoff between noise suppression and detail preservation. In this technique, only the noisy pixels are manipulated and the other noiseless pixels are retained as it is. By applying the Edge Detection algorithm the edges and the fine details in the images are preserved. For each window, the edges are mapped in all the possible directions. The differences between the edges are calculated and the minimum value is found. The mean of this minimum valued edge is computed and is compared with the pixel to be manipulated. If this value is within the threshold limit the pixel is kept unchanged. A reliable threshold limit has been chosen. Due to the less computational complexity, the area is minimized and the speed is increased. Thus it provides an efficient VLSI implementation. This algorithm is applied to images with different noise ratio and the results are obtained.