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@article{142770,
        author = {Molu Elsa Eapen and Deepu E.Koshy},
        title = {Distributed PV Power Generation  Using PSO-based MPPT Technique},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {6},
        pages = {275-279},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=142770},
        abstract = {Photovoltaic (PV) system is the main factor in distributed power generation. PV systems are gaining much interest because of their increased efficiency and importance. Solar energy fluctuates with the intensity of the radiated light. As a result the output power of the panel varies. This varying supply can neither be connected to grid nor used for load. Hence to obtain a maximum power, maximum power point technology (MPPT) is proposed. Conventional techniques proved to be less efficient in finding the optimal solution. Hence soft computing technique called Particle Swarm optimization algorithm (PSO) is proposed to find the maximum power even under different environmental conditions. The proposed MPPT control algorithm is developed in MATLAB, which optimizes the panel voltage. Simulation results show that the proposed algorithm is more efficient.},
        keywords = {Maximum Power Point Tracker(MPPT), MATLAB, Photovoltaic Systems, Particle Swarm Optimization(PSO),Partial Shading Condition(PSC).},
        month = {},
        }