Graphical user interface
- Geographical visualization capability that reflects the interactiveness of a GIS application
- Interactive web-based overlay of online and offline background maps
- Integrated network editor and report generator (List & Label) to simplify the presentation of data / analysis
- Network models can be maintained in multi-dimensional view (schematic, geographic) for different tasks with comparison options
- Expert mode (ExpMode) for the dynamic and transient engine PSS NETOMAC
- Interactive visualization of network models in schematic, geographic or multi-layer diagrams
- Extensive data modeling of all types of equipment including smart grid data models
- Open architecture for easy data exchange and IT integration including: Geographic Information Systems (GIS), SCADA, Distribution Management Systems (DMS), and Meter Data Management Systems (MDMS)
- Advanced algorithms with multiple modules i.e. Power Flow and Fault Analysis, Contingency Analysis/Probabilistic Reliability, Network Optimization, Transient Stability, EMT and Eigenvalues, Harmonics and Flicker evaluation, Protection simulation & coordination, Grid Code Compliance
- From a simple bus-branch to a full substation model PSS SINCAL can run various co-simulations off of a single network model
- Network modeling can be done within a simple balanced up to a full four wire system or complete transposed system
- Large network model can be simulated with timestamps, variants, scenarios, and can be split into separate models via the “include network” option
- High-level algorithms that are optimized for precision and performance
- As the complexity of the data is adapted to the task, the program works targeted-oriented, with high-speed including parallel processing
- Modeling options are not limited in network structure, phases or frequency
- Fully integrated modular structure allows users to customize their license according to their needs
- Model management is based on standard databases (i.e., SQLite, Microsoft® Access®, ORACLE® or SQL Server)
- Users can perform and track various analysis by working off a single master database
- Changes can be tracked and users can reference the initial case
- Distributed databases can be temporarily linked together and reconfigured via “include networks”
*New module* Network Stress Test
Stochastic simulation and interactive visualization of the impacts of rising EVs or DERs on your system.
With the increasing development of electromobility, electric vehicles (EVs) will start to have a large impact on the distribution grid. The grid will become more unpredictable as the connection points and magnitude of the e-car charging stations or DER are unknown, and the network load varies by time and location. Standard load flow studies will no longer be enough to ensure reliability. Distribution utilities will need to leverage state-of-the-art technologies in order to prepare their grids for the future.
With the new PSS SINCAL Network Stress Test module, distribution grid planners can easily simulate the current and future impacts of e-mobility or DER on their networks. This means that utilities can now understand how their networks will be affected over-time by the increasing penetration of EV charging stations or DER and identify future requirements for network enhancements. Through this stochastic approach, grid planners can save time through no longer needing to rely on trial and error approaches with hundreds of what if scenarios.
Seamlessly link and manage external network equipment documents
Easily manage all your documents related to network equipment such as transformers or protection devices. This new feature enables you to link external documents, such as PDF files or Word documents, to network elements, store/manage the links, and view the most up-to-date linked document directly within the PSS SINCAL GUI.
Efficiently build user specific solutions with the new Python™ automation documentation
Python™ is an increasingly important language for user-defined programs. With the new documentation of PSS SINCAL COM-Server architecture, users can speed up the usage of this programming language to automate user interface access, GUI development, calculation automation, and data management. Save scripting time by leveraging copy and paste program snippets, and ready to use examples for programmed features.
Highly detailed load modelling and split trimming from Feeder
Utilize forecast data that in general is split between load and generation PSS SINCAL meter devices which were already handling real-time and historian data can now trim two different elements groups with profiles in parallel. In addition, users can select between various scaling or trimming algorithms to quickly adjust loads and distributed generation during long term (e.g. year) evaluation to speed up the simulation time.
Simulate user-defined contingencies and Remedial Action Schemes by scenarios
Utilize the already existing scenarios which can contain any kind of network changes for Contingency Analysis. Easily set-up, simulate, and evaluate user-defined contingencies and Remedial Action Schemes (RAS) which support your daily operation planning actions or reflect your company-specific planning criteria.
Innovative evaluation and documentation of thermal damages and new backup protection schemas in the Protection Security Assessment
With the new matrix overview, you can quickly get an overview about the reliability of the networks concerning the thermal damage of elements caused by short circuits. Define protection backup strategies or have user-defined backup protection devices for each protection location.
Support unbalanced networks also in Feeder Evaluation
Automatically detect, build, evaluate, and highlight the feeders within your unbalanced distribution network. This new feature enables you to quickly evaluate the network configuration, get an overview of the key parameters of large networks, and review reconfiguration/restoration options in case of feeder outages.
Extended modeling of dynamic network elements
With the increase of DERs in the distribution grids, planners need to consider the resulting impacts on the analyses of steady-state and dynamic power system behavior. This is possible with the new concept of Multiple Input Multiple Output (MIMO) models which enable users to model modern and future system concepts. Users can adequately model DERs representing each phase individually to provide a more realistic view.
New elements to support the Russian Market
Users can now model completely new (3-node connected) elements including dual reactor and split winding transformers based on name plate values and without the need to recalculate input data. This element modelling also supports the already existing GOST Standard in a more detailed way.