2results about How to "Improve voltage pass rate" patented technology

The present invention provides a method for optimizing the power flow distribution of a power grid considering multiple scenarios, including collecting user power demand data and power grid operation status data, obtaining factor data of power grid flow distribution; selecting factor data as fuzzy variables, performing fuzzification processing, forming a fuzzy variable table and a multi-scenario fuzzy rule table; using the Monte Carlo method to simulate multiple scenarios, generating a multi-scenario factor data sample set; constructing a power flow calculation model according to the power grid topology and equipment parameters, using the sample set data as input to perform power flow calculation, and obtaining power grid operation status information; based on the analysis of the operation status information, evaluating the power grid operation performance, and determining the optimization target and optimization method. The method comprehensively considers multiple factors, accurately calculates the operation status of the power grid in different scenarios through fuzzification processing and multi-scenario simulation, provides a reliable basis for the evaluation and optimization of the power grid operation performance, and helps to improve the stability and reliability of the power grid.

This application discloses an adaptive configuration method, apparatus, device, and storage medium for JP cabinets, belonging to the field of JP cabinet load configuration technology. This application obtains a main node graph characterizing the real-time operating status of a distribution transformer area and a secondary node graph characterizing the future operating trend and adjustability of the distribution transformer area; it performs cross-graph feature fusion on the main node graph and the secondary node graph, and outputs adaptive configuration instructions for the nodes where each JP cabinet in the distribution transformer area is located based on the cross-graph feature fusion result; it sends the adaptive configuration instructions to the corresponding JP cabinets for execution and collects the operating status data after execution; based on the operating status data, it synchronously updates the main node graph and the secondary node graph, and continuously optimizes the configuration parameters of each JP cabinet based on the updated main node graph and secondary node graph, thereby achieving the effect of accurately allocating the load of the JP cabinets.