Systems and methods for real-time DC microgrid power analytics for mission-critical power systems
摘要
說明書
In step 1906, a voltage stability analysis of the electrical power system operating under the various chosen contingencies can be performed. This analysis can include a prediction (forecast) of the total system power capacity, available system power capacity and utilized system power capacity of the electrical system of the electrical system under various contingencies. That is, the analysis can predict (forecast) the electrical system's ability to maintain acceptable voltage profiles during load changes and when the overall system topology undergoes changes. The results of the analysis can be stored by an associative memory engine 1918 during step 1914 to support incremental learning about the power capacity characteristics of the system. That is, the results of the predictions, analysis, and real-time data may be fed, as needed, into the associative memory engine 1918 for pattern and sequence recognition in order to learn about the voltage stability of the electrical system in step 1920. Additionally, concurrent inputs of various electrical, environmental, mechanical, and other sensory data can be used to learn about and determine normality and abnormality of business and plant operations to provide a means of understanding failure modes and give recommendations.
In step 1910, it can be determined if there is voltage instability in the system when confronted with a specific contingency. If it is, then in step 1912, a report is generated providing a summary of the specifics and source of the voltage instability. The summary may include general predictions about the voltage stability of the overall system and/or detailed predictions about each component that makes up the system.
