Modeling of Control and Power Management of a Hybrid Wind-Solar System Using Optimization Technique

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A probabilistic methodology is described in this paper to determine an optimal design and implementation of a multi source hybrid like Wind, Photovoltaic (PV) stand alone system with energy management strategy. Hybrid energy system is an excellent solution for electrification of remote rural areas where the grid extension is difficult and not economical. Hybrid (Wind-PV) system are highly efficient and requires very low maintenance. An average model of a hybrid Wind-PV generating system is presented.
The Model is important for synthesizing the control strategy and analyzing the dynamic behavior of the system. The main objective is to provide 24 hours demand quality power in remote communities. The method of investigation concerns with the definition of the system topology, interconnection of the various sources with maximum energy transfer, optimum control and energy management. The proposed energy management strategy is simulated for Very Low Voltage (VLV) node connection and its coupled with DC loads in MATLAB/Simulink using the Fuzzy Logic Controller (FLC). The FLC takes the input from Solar (irradiation), Wind (speed) and the battery and controls the respective subsystem which formulates into different operational modes of energy management. The role of Fuzzy threshold controller is to adjust continuously the threshold value for optimal performance based on expected wind, solar conditions and batter voltage. It is shown that, when the Fuzzy Logic Controller is used.The proposed Direct Current (DC) bus voltage regulation strategy with different modes of operation has fast response and efficient operation which leads to a reduced operating cost. The optimal power transfer from the source to load is based on mechanism which are used to control power, voltage and current and these parameters are used to regulate the DC bus voltage to a fixed value.
The various models with the output waveforms are represented and discussed. Finally, simulation results are presented to verify the effectiveness and accuracy of the proposed system.

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Control and Energy Management System; Fuzzy Logic Controller; Hybrid Wind-Solar System; Photovoltaic Conversion; Power Modeling; Wind Conversion System

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