Simulation and Modeling of Integrated Renewable Energy Resources (Hydro, Solar and Wind Energy)

Abstract

Renewable energy sources are likely to become prominent in the future due to less environmental impact and energy cost escalation. However, due to its intermittent essence, it encourages us to integrate various renewable energy resources to improve the reliability and quality of power supply to the consumer. Henceforth, this paper emphasizes the integration of various renewable energy sources (RES) such as - photovoltaic (PV), wind energy (WE) and hydro-electric grid (HEG) systems through software simulation. The purpose of this research was to compare the end user power quality and reliability between isolated mode and integrated mode operation of the power system through the result analysis in MATLAB simulation. In this qualitative study, the required data on wind and solar of a particular place, Samdrup Jongkhar (Bhutan) were collected in the form of satellite recorded data (NASA and SolarGIS). The result from this study highlights the nature of energy output from isolated-mode operated power plants and integrated power plant systems. From the result analysis, it has been shown that the quality and reliability of energy output from an integrated power system is much higher as compared to the isolated-mode operated power plant.

A Study on Modeling and Simulation of Hybrid Solar-Wind System under Variable Load Condition

“…Sangay D orji et al conducted a research to compare power quality and reliability between isolated and integrated mode operation of a power system in Samdrup Jongkhar, Bhutan. The study used MATLAB simulation and collected data from satellite records, NASA, and SolarGIS, to understand the advantages and disadvantages of each approach [Sangay Dorji et. al.…”

“…a1 and a2 represent the diode ideality constants. Simplified model for PV system modeling is presented below: ) 𝛼 (14) where νoc is normalized value of the open-circuit voltage Voc with respect to the thermal voltage Vt = nkT/q, n is the ideality factor (1 < n < 2), K is the Boltzmann constant, T is the PV module temperature in kelvin, q is the electron charge, α is the factor responsible for all the non-linear effects that the photocurrent depends on, β is a PV module technology specific-related dimensionless coefficient, and γ is the factor considering all the non-linear temperature-voltage effects. Equation ( 14) represents the maximum power output of a single PV module.…”