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• W2912016316 abstract "In this paper, a techno‐economic optimum configuration process is assessed for hybrid power systems in terms of different generation capacities. It will provide a basis for the configuration of a practical microgrid. Initially, the actual power demand in a particular university area, namely, Khulna University of Engineering & Technology in Bangladesh, is measured, and then, the process of designing the optimized model is demonstrated with an initial choice of various parameters and constraints. Its inputs are climate data, electrical loads, technical and economic parameters of the equipment used for generation, sensitivity variables, grid parameters, and project economics and constraints. The best mix of solar photovoltaics (PV) and wind power is determined considering the most profitable size of the PV's inverter for different plants. The optimization results obtained through HOMER show that a specific PV panel does not need an inverter of the same capacity and a smaller one results in a lower investment. The analysis has been carried out by considering annual increase rates of both the load and the grid power price, which makes the result more realistic. The optimal size and control strategy are determined based on the net present cost, levelized cost of energy, increased rates of load and grid price, renewable fraction, and greenhouse gas emissions. A comparative analysis between the fixed and variable data for load and cost demonstrates that an optimal inverter-PV ratio, with the best mix of PV and wind energy, provides an optimum solution for all models. An economically viable plant size of 1.5 MW for the considered case is achieved." @default.
• W2912016316 created "2019-02-21" @default.
• W2912016316 creator A5005915031 @default.
• W2912016316 creator A5063706487 @default.
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• W2912016316 date "2019-01-01" @default.
• W2912016316 modified "2023-09-25" @default.
• W2912016316 title "Optimal sizing of grid-tied hybrid renewable energy systems considering inverter to PV ratio—A case study" @default.
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• W2912016316 doi "https://doi.org/10.1063/1.5052492" @default.
• W2912016316 hasPublicationYear "2019" @default.
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