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PSS Sincal 21.5 and PSSE 36.2.1 Complete Features

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Siemens PSS Sincal 21.5 and PSSE 36.2.1 Complete Features
PSS Sincal 21.5
PSS®SINCAL Platform 21.5 is a comprehensive simulation software designed for the planning, analysis, and operation of electric, gas, water, and district heating/cooling networks. It offers a wide array of features to support engineers in various aspects of network management.
Here are some of the key features of PSS®SINCAL 21.5:
Core Simulation and Analysis Capabilities:
·       Power Flow Analysis: Calculates the distribution of currents, voltages, and power in symmetrical and asymmetrical three-phase systems, including 4-wire systems. It supports complex load modeling, user-defined models, phase shifters, and asymmetrical transformers.
·       Short Circuit Calculation: Analyzes short-circuit currents, including asymmetric fault scenarios, with improved algorithms for dynamic voltage support even in networks with low short-circuit power.
·       Harmonics Analysis: Assess harmonic distortion limits and filter sizing requirements.
·       Stability Analysis (RMS and EMT): Provides simulation capabilities for dynamic and transient stability, including electromagnetic transients (EMT) and RMS simulations. It features new generic models for grid-forming and grid-following converters, crucial for modern power systems with high renewable energy penetration.
·       Protection Coordination: Offers interactive tools for monitoring and managing protection devices and their settings. It facilitates protection performance assessments, including stepped-event fault clearance analysis and dynamic fault sequence simulation.
·       Arc Flash Hazard Analysis: Calculates arc flash risks, a critical safety feature.
·       Motor Start Simulation: Analyzes the impact of motor starting on the network.
·       Contingency Analysis and Resupply: Automates the analysis of network contingencies and the planning of resupply strategies through switching operations, load shedding, and load reduction.
Advanced Features and Modules:
·       Distributed Energy Resources (DER) Integration: Includes a "Maximal Hosting Capacity" module that automates calculations for DER integration, such as load flow, short-circuit analysis, and voltage fluctuations. It supports time-series load flow, harmonic distortion analysis, and unbalanced RMS/EMT simulations for DERs.
·       Grid-Forming and Grid-Following Converter Models: Dedicated models for converters that enhance dynamic behavior in modern power systems, providing frequency support, voltage control, and virtual inertia.
·       Extended Feeder Tracing and Evaluation: Supports the design and planning of distribution systems by tracing network models, identifying feeders, determining configurations (radial, open ring, mesh), and performing evaluations of input data and power flow results per feeder.
·       Optimization Modules: Includes tools for optimal network structures, optimal branching, compensation optimization, Volt/Var Optimization (VVO), and load balancing to enhance network efficiency and reduce costs.
·       Reliability Analysis: Offers probabilistic reliability assessment to evaluate network resilience.
·       Network Reduction: Tools for simplifying complex network models while maintaining accuracy.
Data Management and Integration:
·       Master Database Concept: Enables multi-user project management, allowing multiple users to work on a network simultaneously with conflict management and synchronization functions to ensure data consistency.
·       Open Architecture and Interfaces: Supports seamless data exchange with other systems through open or commercial databases. It offers programming interfaces for automation using scripting languages ​​like VBA, VBS, C++, .Net, Python™, and Java.
·       CIM Import/Export: Facilitates data exchange with other systems using the Common Information Model (CIM) standard, with corrections for processing dynamic data from CGMES.
·       GIS Integration: Integrates with Geographic Information Systems (GIS) for enhanced visualization and data management.
·       SCADA and Metering Database Integration: Smart interface capabilities allow integration with SCADA systems and metering databases.
User Interface and Visualization:
·       Geographical Visualization: Provides a geographical visualization capability that interacts like a GIS application.
·       Interactive Network Editor: Features an integrated network editor for intuitive model creation and modification.
·       Enhanced Highlighting: Improved highlighting functionality allows users to create custom highlights directly from the network browser, with dynamic sizing options and the ability to save custom filters as highlights.
·       User-Friendly Workflow: Enhancements focus on usability and introduce new user-friendly workflows, including improved highlighting integration into module result views.
·       New Tabular View: Offers a new tabular view with enhanced filtering capabilities for selective data evaluation.
Multi-Network Support:
·       Hybrid Network Simulation: Beyond electrical networks, PSS®SINCAL supports the planning of gas, water, and heating district/cooling networks. It enables linked simulations between these different network types for optimized efficiency.
PSS®SINCAL 21.5 is designed to address the evolving challenges in power systems, from transmission and distribution to industrial networks and the integration of renewable energy sources, offering a robust and flexible platform for engineers.


PSSE 36.2.1
Power System Simulator for Engineering (PSS®E) is a powerful software suite used for the simulation, analysis, and optimization of electrical power transmission networks. Version 36.2.1 builds upon its long history of innovation, offering advanced capabilities for both planning and operational studies.
Here are some of the key features of PSS®E 36.2.1:
Core Simulation and Analysis Capabilities:
·       Power Flow Analysis: Determines voltages, currents, and power flows in steady-state conditions for symmetrical and asymmetrical three-phase systems. It supports a wide range of load and generation modeling.
·       Short Circuit Analysis: Calculates fault currents according to various international standards, including balanced and unbalanced fault scenarios.
·       Dynamic and Transient Stability Simulation: Analyzes the system's behavior over short time scales (seconds to tens of seconds) under various disturbances, crucial for understanding system stability and response to events like generator trips or faults.
·       Contingency Analysis: Evaluates the impact of equipment failures or outages on system security and stability. This includes deterministic and probabilistic approaches.
·       Optimal Power Flow (OPF): Optimizes system operation by minimizing costs, losses, or maximizing performance while respecting operational constraints.
·       Voltage Stability Analysis: Assess the system's ability to maintain acceptable voltage levels under varying load conditions.
·       Harmonics Analysis: Studies the presence and impact of harmonic distortions in the power system.
·       Geomagnetically Induced Currents (GIC) Analysis: Analyzes the effects of geomagnetic disturbances on the network.
·       Time Series Power Flow: Simulates system behavior over extended periods with time-varying load and generation profiles, essential for renewable energy integration studies.
Advanced Features and Modules:
·       Extensive Dynamic Model Library: Includes a vast collection of standard vendor-specific dynamic models for generators, turbines, exciters, governors, FACTS devices, and renewable energy systems. User-defined models can also be developed and integrated.
·       Python® API for Automation: Offers a comprehensive Python API, enabling extensive automation of workflows, custom analysis scripts, and integration with other tools. This is a significant feature for efficiency and advanced analysis.
·       Hybrid Cloud Module: Leverages cloud computing power to accelerate simulations, especially for complex scenarios and large datasets, by offloading computation from local machines.
·       Enhanced Short Circuit Modeling: Improvements in short circuit calculations, including modeling of MOV protected series capacitors.
·       Dynamic Model Standardization: Standardization of dynamic models (eg, CONEC, CONET) for easier integration and compatibility.
·       Security Constrained Optimal Power Flow (SCOPF): Integrates contingency analysis into the OPF to ensure system security under potential outages.
·       Interactive Data Checking: Visualizes data warnings and errors directly within spreadsheets and model edit dialogs for faster error correction.
·       Automated Grid Code Compliance: Tools to help ensure compliance with grid codes for renewable energy integration and other grid connection requirements.
User Interface and Data Management:
·       Graphical User Interface (GUI): Provides an interactive and user-friendly environment for network modeling, analysis, and visualization.
·       Integrated Plot Facility: Powerful tools for creating and customizing plots of simulation results.
·       Scenario Manager: Manages different study cases, scenarios, and project variants for organized analysis.
·       Model Management: Tools to help users manage the various files and data required for building and maintaining network models.
·       GIS Integration: Supports integration with Geographic Information Systems for enhanced spatial visualization and analysis.
Key Improvements in Version 36.2.1 and recent 36.x releases:
·       Python Compatibility: Support for multiple Python versions, crucial for automation scripts.
·       AVX Instruction Set Requirement: PSS®E 36 requires CPUs supporting the AVX instruction set for improved floating-point operations, benefiting simulation performance.
·       Removed Utilities: Some older conversion utilities have been removed, with their functionality integrated into the GUI or API for a streamlined experience.
·       Dynamic Model Compatibility: User-defined models created for PSS®E 35 may require conversion for PSS®E 36 due to changes in the dynamic modeling architecture. Siemens provides conversion tools for this purpose.
·       Multi-processor Support: Enhanced utilization of multiple processors for basic contingency analysis, leading to significant performance gains.
PSS®E is widely used by transmission system operators, generation companies, consultants, and researchers for critical power system planning and operational studies.


For more information about PSS Sincal 21.5 and PSSE 36.2.1 with Complete Features, please contact  fast.forever24@gmail.com



PSS Sincal 21.5

PSS Sincal 21.5

PSSE 36.2.1

PSSE 36.2.1
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