POULTRY FARM COOLING SYSTEM BASED HYBRID DC MICROGRID
Since the fossil fuel exhausting and causes environmental problems, renewable energy is developing rapidly. More and more importance has been given in power generation through Renewable Energy Resources (RERs) worldwide to reduce the global warming. Many research works on DC microgrid have been conducted to facilitate the integration of various Distributed Energy Resources (DERs) and Energy Storage System (ESS). In recent years, the research attention on DC grids has been resurging due to technological advancements in power electronics and energy storage devices, and increase in the variety of dc loads and the penetration of DERs such as wind, solar, fuel cells and bio-gas etc., Many research activities are being done to harness more generation from DERs and flexible control of the above generation. An Adaptive Neuro-Fuzzy Inference System (ANFIS) based Energy Management System (EMS) is proposed to control inverters in Grid connected hybrid DC microgrid system. The hybrid system consists of Wind Turbines (WTs) and Solar Photovoltaic (PV) as a primary energy sources. The Grid connected DC microgrid system is designed to satisfy the load requirement efficiently and in case if the demand is low it will return the excess power to the AC Grid also. The operational capability of proposed Hybrid DC microgrid design concept is verified through various test conditions and the results obtained are discussed.
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