Back Propagation Algorithm Based Controller for Autonomous Wind-DG Microgrid - 2016 PROJECT TITLE : Back Propagation Algorithm Based Controller for Autonomous Wind-DG Microgrid - 2016 ABSTRACT: This paper takes into account wind-DG hybrid configuration with a voltage source converter (VSC) as a voltage and frequency controller (VFC). Wind AC power generated by permanent magnet brushless DC generator (PMBLDC) is rectified into DC power, and maximum power is captured using most power purpose technique (MPPT) employing a boost converter with incremental conductance (INC) approach. This power is stored into battery system (BS) and surplus is provided to the patron masses. BS is hooked up at DC link of VSC which provides load leveling throughout less or no wind conditions. Diesel engine driven squirrel cage induction generator (SCIG) is feeding masses and VSC at point of common coupling (PCC) to support the system when wind generation is unable to meet out load demand. Back propagation feed forward (BPFF) management theme is employed for VF control of VSC. This controller provides harmonics elimination, load leveling and reactive power compensation and also regulates the voltage at PCC. Microgrid is modeled with MATLAB Sim power tools and simulation results are created to verify the suitable operating of both the converters and the overall system. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Ad Hoc Networks Distributed Power Generation Power Convertors Diesel-Electric Generators Hybrid Power Systems Brushless Dc Motors Permanent Magnet Generators Wind Power Plants Harmonics Rejection in Stand-Alone Doubly-Fed InductionGenerators With Nonlinear Loads - 2016 Experimental Implementation of Doubly Fed Induction Generator Based Standalone Wind Energy Conversion System - 2016