Artificial Neural Networks (ANN) is introduced by McCulloch and Pitts in 1943.It is an interconnected group of nodes. Neural networks models in artificial intelligences are usually referred to as artificial neural network. A novel unity power factor battery charger conception based on an Ultrasparse Matrix Rectifier (USMR) with Artificial Neural Network (ANN) is presented in this paper. Ultrasparse matrix converter topology can be derived from Indirect converter topology having a reduced number of input switches. The circuit has only three switching components and low-energy-conversion loss. This reduces the cost and enhances the system's efficiency for high voltage battery. Thus, the proposed ANN controller improves the line power quality and delivers admissible output power to the battery. The charging method chosen is the Constant Current (CC) or Constant Voltage (CV) method. The ANN control and space vector modulation algorithms are implemented with the Digital Signal Processor.KEYWORDS: ANN controller, battery chargers, fuzzy logic controller (FLC), space vector modulation (SVM), ultrasparse matrix rectifier (USMR), unity power factor. INTRODUCTIONDue to the popularity of battery charger in many areas of application, it is essential to design a battery charger to provide high performance and high power demands while meeting low cost requirements [1]. Charging battery may seem like an easy and simple task, however, it could involve complicated control algorithm. The control algorithm must be able to provide the means to protect the battery from over-charging, which leads to the destruction of the battery. Thus a proper battery charger with the ability of fast charging and efficient control topology is required to ensure the adequacy of the battery system throughout its life [2]. The conventional battery charger experiences a highly distorted current harmonic waveform and low power factor due to the presence of high ripple in the charging current. Thus the battery storage system requires an additional charging circuit for reducing the ripple and extending the battery life. Several methods for charging battery [7] have been proposed depending on the battery chemical composition and the capacity, construction techniques and application of the battery. The efficiency of the charging methodology is measured by the charging current and voltage level, the charging current oscillation, and temperature fluctuation during charging process, also the total charging time. Constant voltage (CV) and constant current (CC) charging are the usual battery charging techniques. The CV charging method keeps the battery voltage constant by using an equivalent series resistance to control the battery current. The CC charging technique maintains the charging current constant, until the battery voltage achieves a designated value. Existing system consists of double control loop based on the fuzzy logic controller to charge the battery [5]. The main drawback of using fuzzy logic controller is that there is no standard and sy...

As a promising renewable alternative, the wind power is one of the significant sources of generation. Reactive power compensation and harmonic reduction in a low voltage distribution networks for integration of wind power to the grid are the main issues addressed in this paper. This paper proposes a control scheme based on instaneous Pq theory for compensating the reactive power requirement of a three phase grid connected wind driven induction generator as well as the harmonics produced by the non linear load connected to the PCC using STATCOM. The proposed control scheme is simulated using MATLAB/SIMULINK. The Simulation results are presented in this paper.