Development of a smart grid digital twin for energy distribution optimization : a PSS approach
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Date
2022-10-25
Authors
Τζέμος, Θεόδωρος
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Abstract
With the urgent issues of lack of energy and environment pollution, in combination with the rapid increase of energy demand, due to the overpopulation of cities, a lot of pressure is put in the current electrical grids. At the same time, a massive flood of digital data is generated which makes analysis more complex. It is urgent to find sustainable solutions to meet the customers’ demand in electric power. The 4th industrial revolution started the shift towards digitalization, decentralization and renewables among others, so new technologies and ideas were developed. In the recent years smart grids and Digital Twins (DT) are proven increasingly important. A smart grid is an electrical grid that includes several advanced technologies, such as smart metering, to achieve bidirectional communication and exchange of data between stakeholders, in order to fulfill their needs in the most efficient way. The DT model is a virtual representation of the physical electrical grid that communicates with each other and realizes its performance in live time. The DT helps the energy suppliers to monitor, analyze and predict possible events in the power grid. Through simulation new techniques and ideas can be tried out, for optimization without disturbing the actual system. Therefore, the proposed DT methodology can be realized as a service that analyzes data and gives valuable information in order to distribute energy, while minimizing the cost and protecting the environment, as a PSS model defines. The aim of this research work is to develop the DT of the electrical grid of a university campus showing the new features, possibilities, and advantages it can offer for maximizing the energy efficiency.
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Keywords
Smart grids, Digital twin, Energy distribution, Industry 4.0, PSS