3results about How to "Avoid cascading failures" patented technology

The invention relates to the technical field of computer software demand analysis and automation, and discloses an automatic writing method and system oriented to demand analysis, and the method comprises the steps: constructing a domain knowledge graph containing a component mutual exclusion and dependency relationship, and deducing and generating a component compatibility matrix; converting the unstructured demand text into structured features by using a natural language processing algorithm; generating a virtual configuration list in combination with the atlas, and performing conflict detection based on a compatibility matrix and a supervision protocol; when violation is detected, the topological connectivity is quantified by calculating the sum of in-degree and out-degree of the component in the map, and the component is retrieved and replaced according to the topological connectivity for automatic correction; monitoring a change event, calculating an influence domain by using a weight conduction algorithm, and triggering local re-verification; and finally, generating a descriptive text, and executing consistency check by reversely extracting numerical values. According to the method, the configuration verification efficiency and the correction stability are improved through matrix operation and topology analysis, and the accuracy of the demand analysis document is ensured.

The application discloses an abnormality monitoring method and system of a fuel cell stack. The operation process of the fuel cell stack is divided into an open circuit stage with no load connected, an activation polarization stage with low load started, and a normal operation stage with high load started. The abnormality monitoring method comprises the following steps: in the open circuit stage, the open circuit voltage of the battery is collected in real time, if the open circuit voltage is higher than a first set value for a continuous preset number of times, it is judged that the open circuit stage is abnormal, and a pre-warning prompt is triggered; in the activation polarization stage, the output power slope of the stack is calculated, if the power slope is less than a second set value within a specified time, it is judged that the activation polarization stage is abnormal, and a preset action is performed. The technical scheme of the application can monitor different stages of the fuel cell stack, improve the fault disposal efficiency, and increase the safety and stability of the stack operation.

The application discloses an AC-DC power grid intelligent scheduling and protection control method, system, device and medium, and belongs to the technical field of intelligent power grid operation control, which comprises the following steps: constructing an AC-DC collaborative scheduling model, dynamically predicting new energy output and load demand and generating a coordination instruction; based on the scheduling result, establishing a multi-level linkage protection architecture, defining AC and DC system protection collaborative logic; integrating heterogeneous operation data of AC and DC systems to construct a unified analysis model; adopting a deep reinforcement learning algorithm to rollingly optimize a dynamic power flow distribution strategy; dynamically correcting protection parameters and triggering edge side fault rapid response according to real-time operation state; forming a closed-loop technology link, with previous results driving subsequent actions, so that the adaptive collaboration of scheduling, protection and control is realized. Through the AC-DC collaborative scheduling and multi-level protection architecture, combined with the deep reinforcement learning algorithm and the dynamic protection mechanism, the application constructs a "scheduling-protection-control" three-dimensional decision system, and improves the stability of the power grid.