Improve efficiency and ensure reliability

Benefits of using PSS®E

• Comprehensive modeling capabilities that enable sophisticated analyses and accuracy, while also saving time
• Improved system reliability while saving and reducing infrastructure costs
• Improved work processes and efficiency
• Integration into a client’s workflow via built-in Python APIs
• Rapid assessments provide fast responses to constantly changing network conditions and the resulting effects
• Fast and easy anticipation of network problems and analyses of alternatives
• Calculation of the area exchanges in the planning network model

Unique advantages of PSS®E

• Trusted results that are used as benchmarks in the industry and academic literature
• Data and models that are easily exchangeable with other entities across the industry
• Access to resources: rich ecosystem of documentation, online forums, script libraries, model libraries, and other fellow PSS®E users around the world
• Interoperability with an enormous landscape of other industry tools
• Vast automation and customization potential via APIs, which are among the most flexible in the industry and are based on open Python™ technology

Powerful, customizable, and fully-featured software

PSS®E standard features

• Fast and robust power flow solution for network models of up to 200,000 buses
• Lightning-fast steady-state contingency analysis, including automatic corrective actions and remedial action system modeling
• Full node-breaker support for detailed modeling of substation topology
• Automated PV/QV analysis with plot generation
• Powerful program automation and customization with fully-featured Python® API
• Balanced and unbalanced fault analysis and contingency analysis (deterministic and probabilistic)
• Modern graphical user interface
• Comprehensive power flow and dynamics model library, including emerging technologies such as advanced FACTS devices and wind turbines
• Code-based, user-written model building
• Powerful, easy-to-use integrated plot facility
• Graphical construction of user-defined controller models