Forecasting of solar potential and investigation of voltage stability margin using facts device: a synopsis from geography of things perspective
by Masum Howlader; Khandaker Sultan Mahmood; Md.Golam Zakaria; Kazi Mahtab Kadir; Mirza Mursalin Iqbal
International Journal of Grid and Utility Computing (IJGUC), Vol. 12, No. 5/6, 2021

Abstract: The uncertain and erratic nature of renewable energy in solar form is quite laborious to integrate into conventional system operation. In the first part, machine-learning algorithm is used to train models on solar irradiance data and different meteorological weather information to predict solar irradiance. The above-mentioned data is taken from publicly available Geographical Information System (GIS) data. This can be realistically collected using Internet of Things (IoT) devices and sensors which, if based on a GIS approach transforms the system into Geography of Things (GoT). Again, the intermittent and inertia-less nature of PV systems can produce significant power oscillations problems. In the second part, it is shown that residue-based power oscillation damping (POD) controller significantly improves the inter-area oscillation damping. This report overall puts an in-depth analysis with regard to the challenges of solar resources with the integrating, planning, operation and particularly the stability of the power grid.

Online publication date: Fri, 07-Jan-2022

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