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By S. Selvaperumal, R. Nagarajan, P. Nedumal Pugazhenthi

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This paper gives the new intelligent control technique in order to track the global maxima of PV power effectively and also gives MATLAB-Simulink to control the system parameters via DPSO method. Introduction Renewable energy is more important because of the benefits it provides and also capable of meeting a significant proportion of energy needs. High reliability & environmental benefits make PV the choice in more and more cases in everyday. PV systems are clean and silent because energy can directly obtain from sunlight.

This paper presents a Hardware implementation of single-stage solar based DC-DC converter for inductive load application. Solar model is connected in the input side. The circuit has two full wave converter connected to boost the voltage and also for the power factor correction. Switch-utilization factor is improved by using two active switches to serve in the PFC circuits. Controlled converter is used to load side along with pi filter. Finally inductive load is connected to output side. In the hardware circuit solar panel output voltage, transformer primary, secondary voltage and load voltage is measured.

Initialize each particle with a random velocity and random position. Calculate the cost for each particle. If the current cost is lower than the best value so far,remember this position (pBest). Choose the particle with the lowest cost of all particles. Calculate, for each particle, the new velocity and position according to the above equations. Repeat steps 2-4 until maximum iteration or minimum error criteria is not attained. PI controller tuned with soft computing techniques such as Cuckoo Search and Particle Swarm Optimization techniques are analyzed and their performance has been compared.

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