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Power system inertia safety domain evaluation method, device, equipment and medium

The invention relates to the technical field of electric power system management, and provides an electric power system inertia safety domain evaluation method, device, equipment and medium, and the method comprises the steps: obtaining each generator speed regulator model parameter of an electric power system, and constructing an electric power system frequency dynamic response model based on each generator speed regulator model parameter; acquiring an active power disturbance quantity after active power disturbance occurs in the power system; on the basis of the active power disturbance quantity and a power system frequency dynamic response model, calculating critical inertia, including a frequency safety critical inertia value and a regulation economy critical inertia value; dividing an inertia operation domain of the power system into a plurality of inertia operation intervals according to the critical inertia; and the current inertia level of the power system is evaluated based on the system real-time inertia and the plurality of inertia operation intervals of the power system. According to the embodiment of the invention, objective quantification and multi-dimensional analysis of the inertia level of the system are realized by constructing a dual evaluation system fusing the frequency safety and the regulation economy.
Owner:EAST CHINA BRANCH OF STATE GRID CORP

A method for distinguishing indoor and outdoor state of user based on mobile phone signaling data

ActiveCN116723468BDifferentiateFeature extractionSmall data
The application discloses a user indoor and outdoor state discrimination method based on mobile phone signaling data, comprising the following steps: mobile phone signaling data preprocessing; potential indoor trajectory point identification; potential indoor trajectory point main connection base station type identification and signaling switching feature extraction; building coverage and height extraction in the service range of a macro cellular base station; random forest model training and parameter optimization for discriminating the indoor and outdoor state of a user at a potential indoor trajectory point; indoor and outdoor state discrimination of the user and time distribution representation. The application can break through the limitations of small application range and difficult data collection of traditional methods, can comprehensively discriminate the indoor and outdoor state of a user on a large scale, can analyze the time distribution of the indoor and outdoor state of the user, and is helpful for reasonably constructing city public services and developing city planning.
Owner:INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS