Model for energy management of a hybrid generation system connected to the grid
DOI:
https://doi.org/10.83179/trcxz556Keywords:
renewable resources, model predictive control, load profile, load flow, Internal Rate of Return (IRR), Cost of energy (COE), Net Present Cost (NPC), Cost of Invertion (CI), Return of Investment (ROI)Abstract
Given the need to provide electrical power services in places such as isolated communities where it is not feasible to build an electrical substation, a solution was developed through the design and implementation of two load profiles: residential and industrial. These were organized as resistive loads within a hybrid system composed of two solar modules, a vertical-axis wind turbine, two lead-acid batteries, and the electrical grid. Secondly, a methodology was applied based primarily on the implementation, development, and integration of a stationary autoregressive model derived from the prior characterization of the equipment, in order to represent the behavior of each renewable energy source—in this case, solar panels and a vertical-axis wind turbine. Finally, with the help of the software tools HOMER Energy and RETScreen, a financial and economic analysis of the hybrid system’s performance was conducted, identifying the variables that determine return on investment, as well as the project’s revenues and costs according to its geographic location.
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