Model complex multi‑domain networks
Model balanced and unbalanced electricity networks plus gas, water and heating or cooling in one platform to study cross‑system impacts.
Resilient operation starts with planning.
Modern power systems are becoming increasingly complex. As utilities and grid operators integrate more renewable energy sources, electric vehicle infrastructure, and distributed energy resources, planning and operating reliable networks requires greater accuracy, speed, and collaboration.
PSS SINCAL is Siemens' advanced power system planning and analysis software that empowers engineers and planners to confidently model, analyze, and optimize transmission and distribution networks. Built on decades of engineering expertise, PSS SINCAL delivers reliable, scalable, and actionable insights that help organizations master grid complexity, ensure regulatory compliance, and prepare for the energy systems of tomorrow.
Build accurate models, run fast calculations, and assess complex scenarios from distribution to industrial grids. A modular design, collaboration via a Multi‑User Master Database, and open interfaces to GIS and SCADA help teams move from data to decisions with confidence as DER and e‑mobility reshape the grid.
Intuitively create, adapt, and maintain your network model directly within the PSS SINCAL GUI. Data can be easily imported or exported via Excel, CIM, etc.
Gain an overview of the smart grid, implement renewable integration strategies, and simulate future technologies thanks to a flexible and scalable modular platform.
Run high-speed simulations and analyze different scenarios to ensure maximum utilization of the grid system and to plan for reliable grid expansions.
Model balanced and unbalanced electricity networks plus gas, water and heating or cooling in one platform to study cross‑system impacts.
Utilize multi-core processing to automatically analyze large-scale networks. Quickly identify system weaknesses, prioritize critical issues, and focus engineering efforts where they matter most.
Directly integrate geospatial data through robust GIS interfaces and visualize your network in geo-referenced diagrams. Maintain consistency across planning, design, and analysis workflows.