As simulation results and reports are all

As the figure shows the different levels of architecture.InterPSS simulation engine provides a detailed analysis for systems’functionalities and architecture. The software provides a real-time simulation whichserves several frameworks. For instance, InterPSS is distinguished by its looselyand flexible coupling system architecture. It allows power system solutionproviders or third parties to plug in their own simulation modules.

In addition,it serves the system integrators to plug in their standard-based softwareinfrastructure and integrate it easily with InterPSS. (InterPSS, InterPSS 2.0, n.d.)InterPSS contains multiple functions analysis that areavailable and other functions that are still under development.

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It contains,for instance, AC and DC load flow simulation analysis. It sends simulationrequests with simulation input data which simulates the engine. The laterreplies with a response after completing a certain calculation.

 It also includes function analysis for shortcircuit, transient stability and distribution system analysis. Furtherdevelopment for the software which includes protective relay coordination andharmonics analysis. Moreover, it will include the dynamic stability and reliabilityfor small signals.

As it can be shown in the figure above, InterPSS 2.0interface is also based on Google Spreadsheet. The User power system simulationinput data and simulation results and reports are all saved in Google’s drive.

The data is protected under Google’s Information Security and Privacyproperties. (InterPSS, InterPSS 2.0, n.d.) Applications and implementations:The software services currently provides three availableservices. –       Grid Computing:Recent technological advances allowednetwork and software developments to possibly perform cloud grid computing for powergrids that are locally or remotely located. With traditional network andcomputing technologies, it was impossible to meet the requirement of powersystem real-time simulation due to the huge amount of contingency analysiscases that should be evaluated in a short periodic time.

Furthermore,traditional computers used to have only a single CPU which hardly provides, forinstance, an accurate AC loadflow power network model. Thus, further manualapproximation and regularization needed to be done to reach that. Modern network and cloud based computing havesuccessfully facilitated the traditional challenges.  Grid computing solved power system real-timesimulation problems using multiple CPUs which provide an accurate AC loadflowmodel. A Chinese university conducted an experiment using InterPSS Gridcomputing. The research group simulated the loadflow based on 1245 buses and1994 power branches. 


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