TRISTAN | based methods to assess power system
kandi X-RAY | TRISTAN Summary
kandi X-RAY | TRISTAN Summary
TRISTAN is a Jupyter Notebook library. TRISTAN has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
The main categories of computations performed for stability analysis purposes in power systems are contingency analysis, and security margin calculations. Contingency analysis methods consist determining system’s response to large disturbance, at a given operating point. Static and dynamic time-domain simulation methods are generally used in contingency analysis to assess the stability of a given power system. Static methods focus on the existence of equilibria and therefore rely on the solution of non-linear algebraic equations that assume equilibrium conditions of the system’s dynamics. Power flow based contingency analysis and continuation power flow (CPF) methods are some examples of static methods. Static methods are usually very efficient but they neither account for post contingency controls that depend on the system’s evolution nor capture more involved instability mechanisms. Time-domain methods, on the other hand, may have higher computational demands, but offer higher accuracy and better information (e.g. w.r.t the system’s response to a sequence of events). Such methods are attractive for Dynamic Security Assessment tools, specially those that do not have the facility to exploit the mathematical model's structure and can only use the resulting time-series from time-domain simulations. This is the case of the iPST platform (that relies in time-domain simulations for security assessment, and for which the the indexes provided in this repository were first developed.
The main categories of computations performed for stability analysis purposes in power systems are contingency analysis, and security margin calculations. Contingency analysis methods consist determining system’s response to large disturbance, at a given operating point. Static and dynamic time-domain simulation methods are generally used in contingency analysis to assess the stability of a given power system. Static methods focus on the existence of equilibria and therefore rely on the solution of non-linear algebraic equations that assume equilibrium conditions of the system’s dynamics. Power flow based contingency analysis and continuation power flow (CPF) methods are some examples of static methods. Static methods are usually very efficient but they neither account for post contingency controls that depend on the system’s evolution nor capture more involved instability mechanisms. Time-domain methods, on the other hand, may have higher computational demands, but offer higher accuracy and better information (e.g. w.r.t the system’s response to a sequence of events). Such methods are attractive for Dynamic Security Assessment tools, specially those that do not have the facility to exploit the mathematical model's structure and can only use the resulting time-series from time-domain simulations. This is the case of the iPST platform (that relies in time-domain simulations for security assessment, and for which the the indexes provided in this repository were first developed.
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TRISTAN has a low active ecosystem.
It has 10 star(s) with 4 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
TRISTAN has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of TRISTAN is current.
Quality
TRISTAN has no bugs reported.
Security
TRISTAN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
TRISTAN is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
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TRISTAN releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of TRISTAN
TRISTAN Key Features
No Key Features are available at this moment for TRISTAN.
TRISTAN Examples and Code Snippets
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