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ENERGY MANAGEMENT based on Embedded System DESIGN OF A SOLAR TRACKING SYSTEM FOR RENEWABLE ENERGY ABSTRACT MPPT algorithms are necessary because PV arrays have a non linear voltage-current characteristic with a unique point where the power produced is maximum. This point depends on the temperature of the panels and on the irradiance conditions. Both conditions change during the day and are also different depending on the season of the year. Furthermore, irradiation can change rapidly due to changing atmospheric conditions such as clouds. It is very important to track the MPP accurately under all possible conditions so that the maximum available power is always obtained. The well-known perturb and observe (P&O) method for photovoltaic (PV) maximum power point tracking (MPPT) has been extensively used in practical application because of simple in idea and implementation. However, as reported by Wasynezuk, the P&O method is not able to track peak it cannot quickly follow the change of PV characteristic and the change of disturbed PV voltage (ΔVpv). An incremental conductance (INC) MPPT method that is implemented by detecting the harmonic components of the PV module voltage and current was first proposed to track accurately the peak power of PV systems that are subjected to random variations in isolation. ENERGY MANAGEMENT based on Embedded System The Light Dependent Resistor (LDR) 1 senses the change in the sun’s position and gives signal to the control circuit in order to tackle the change in the position of the solar panel. The control circuit gives signal to run the motor in forward direction. LDR 2 detects the sun set and gives signal to the control circuit to run the motor in reverse direction until the proxy switch gets activated. The position of the panel will be displayed in LCD at which LDR is absorbing the energy from the sun. EXISTING SYSTEM In the past years numerous MPPT algorithms have been published. They differ in many aspects such as complexity, cost or efficiency. To date, a number of MPPT algorithms have been proposed in the literature, including perturb-andobserve method (2004), open- and short-circuit method (2002), incremental conductance algorithm (1998),fussy logic (2006) and artificial neural network (1998). However, it is pointless to use a more expensive or more complicated method if with a simpler and less expensive one similar results can be obtained. This is the reason why some of the proposed techniques are not used. The main technical requirements in developing a practical PV system include which an optimal control that can extract the maximum output power from the PV arrays under all operating and weather conditions. DISADVANTAGES Complexity algorithms ENERGY MANAGEMENT based on Embedded System difficult and unsatisfactory It’s not trusted one. PROPOSED SYSTEM This paper presents the hardware design and implementation of a system that ensures a perpendicular profile of the solar panel with the sun in order to extract maximum energy falling on it. Renewable energy is rapidly gaining importance as an energy resource as fossil fuel prices Fluctuate. The unique feature of the proposed system is that instead of taking the earth as its reference, it takes the sun as a guiding source. Its active sensors constantly monitor the sunlight and rotate the panel towards the direction where the intensity of sunlight is maximum. ADVANTAGES Automatic Maximum tracking Maximum power output compare other technique Efficient tracking System. Accuracy. ENERGY MANAGEMENT based on Embedded System BLOCK DIAGRAM TRACKING MECHANISUM LDR1 (LEFT) LDR2 (CENTER) ADC UNIT ATMEL LCD LDR 3 (RIGHT) TEMP SENSOR HARDWARE REQUIREMENTS Microcontroller ENERGY MANAGEMENT based on Embedded System Solar Panel LCD LDR Temperature Sensor Tracking Mechanism ADC SOFTWARE REQUIREMENTS KEIL CROSS COMPILER PROTEUS SOFTWARE