“Digital real-time simulation” refers to the replication of output waveforms with the required accuracy, which duplicates the behavior of a real power system that is being simulated. A variety of problems relating to the functioning of power systems can be effectively solved using real-time simulators. Fortunately, modern state-of-the-art technological advancements have solved the energy problems. When used as a real-time application of electromagnetic transient-type simulation, the real-time digital simulator takes advantage of the traveling wave properties of cables and transmission lines in conjunction with a parallel processing platform. Power Control (PC), Hardware Under Test (HUT), Time Scale of Events (TSE), and Control Action (CA) are used as independent variables and the Real-Time Dynamic Simulation (RTDS) has been used as dependent variables. The objective of study improves the energy production in Digital Power Grids using Real-time Dynamic Nonlinear System Simulation System. The data was collected by using questionnaires based on 5-Likert Scale. The data has been analyzed using smart PLS 3. The questionnaire were filled from 50 technicians of power grids. The results are that Real-Time Dynamic Simulation improves the energy production in Digital Power Grids.

The digital power grid system is used to maintain stability and to provide a continuous supply of electrical energy to consumers in the event of a power outage or other interruption of service. This is due to their ability to respond quickly in the event of an interruption. However, unpredictable failures and cascading accidents occur regularly, resulting in a blackout that can cause significant disruption to modern life. Furthermore, the rotor angle behavior can indicate the overall synchronism and stability of the complete digital power grid system. The digital dynamic nonlinear system operators can profit economically and technically from implementing protection measures that are appropriately designed and implemented. This study has utilized data transitions over digital power grids, connectivity used in digital power grids, power quality, network congestion, and stability issues as independent variables. However, the digital dynamic nonlinear system has been used as the dependent variable. The data was collected using questionnaires, and the data was collected from various digital power grids and solar system users. The collected data was analyzed by using SEM PLS 3. The reliability of the collected data was tested by Cronbach’s alpha and the values above 0.7. The results indicated that there are significant values between the variables.