Abstract: Systems and methods for generating a load model having composite load components for electric power systems are disclosed which include acquiring state information at a bus of the electric power system, acquiring a training event record, and generating the load model by sequentially executing steps of determining a final load component composition for a predetermined composite load model structure referencing to both the state information and the training event record, and determining a plurality of final load parameters corresponding to the final load component composition and the predetermined load model structure also referencing to both the state information and the training event record.

Abstract: The present disclosure provides a method, an apparatus, and a medium for calculating capacities of a plurality of photovoltaic power stations. The method includes: receiving a plurality of historical weather data sets from the plurality of weather monitoring stations; determining a scene year based on the plurality of historical weather data sets; receiving an actual generating capacity of each photovoltaic power station predicted by a power system dispatch center; extracting weather data of each photovoltaic power station in the scene year from the corresponding historical weather data set; obtaining an available generating capacity of each photovoltaic power station in the scene year based on the weather data; and determining a capacity of each photovoltaic power station in the scene year according to the actual generating capacity and the available generating capacity of each photovoltaic power station.

Abstract: A multi-faults service restoration method for a power distribution network overcomes the defect that a traditional service restoration method for the power distribution network cannot solve multi-faults. The method includes the steps of performing multi-faults judgment on multi-faults with processing unfinished, to form many multi-faults and many single-faults; then performing unaided fault recovery area division on the multi-faults, and performing power restoration on unaided fault recovery areas one by one; and after the multi-faults are processed, performing power restoration on each single-fault.

Abstract: A dispersed state monitoring device for distributed generation includes a power module, an input conditioning module, a data processing module and a network communication module which are connected one after another in this order. The power is input, via a civil plug and a 220V power socket, to the power module and the input conditioning module in the device at the same time. The power module ensures normal operation of the device through conditioning of a voltage. The input conditioning module is configured to condition input voltage signals, extract voltage transient-state and steady-state signals to be analyzed, and inputting the signals to the data processing module. The data processing module is configured to analyze the voltage transient-state and steady-state signals, judge the operating state of the distributed power source, and output a judging result to the network communication module. The result is output from the network communication module via a standard RJ45 Ethernet interface.

Abstract: The system includes a robot body and a main robot control platform. The robot body includes a mechanical part and an electrical control part. The mechanical part includes a horizontal moving unit, an objective carrying platform unit and a bearing unit which are arranged in X, Y and Z cartesian coordinate directions. The objective carrying platform unit includes an objective carrying platform and a battery drive mechanism arranged on the objective carrying platform. A battery pushing mechanism is arranged on the battery drive mechanism. The electrical control part includes a data collection device connected with a main control computer system, a power drive mechanism, an I/O model and a wireless communication model I. The wireless communication model I, the wireless communication model II of a control backend and the wireless communication model III in the remote control device wirelessly communicate with each other.