Abstract: A method for making a spatio-temporal combined optimal scheduling strategy of a mobile energy storage (MES) system includes: inputting data of a power system, a traffic system, and an MES system; setting a time interval, and initializing a time interval counter; inputting real-time fault, traffic, and MES data; and performing rolling optimization and solving, and delivering regulation decision instructions of the MES system, till a fault is removed. The core of the present disclosure is to propose a spatio-temporal combined optimal model of the MES system to describe spatio-temporal coupling statuses of an energy storage vehicle, a traffic network, and a power distribution network. The present disclosure provides guidance for an optimal scheduling decision of the MES system by properly regulating a traveling path and charging and discharging power of the MES system, thereby supporting high-reliability operation of the power distribution network.

Abstract: A control method and system for a distribution network with distributed mobile energy storage systems is disclosed which relates to the power field. The present invention manages the multiple distributed mobile energy storage systems in the distribution network in a unified way, to improve the flexibility of the distribution network, and enable the distributed mobile energy storage systems to fully smooth new energy generation fluctuations, implement peak cut, facilitate grid auxiliary services, and improve the power quality. The control method includes: acquiring, by a sub-station coordination system, data of the distributed mobile energy storage systems; receiving, by a master-station dispatching system, the data of the distributed mobile energy storage systems, and obtaining external data; generating, by the master-station dispatching system, a control instruction; and controlling, by the sub-station coordination system, the distributed mobile energy storage systems.

Abstract: Provided is a source-load cooperation access method for a power distribution region. The method includes: establishing a timing feature model of a distributed generator and a timing feature model of a load respectively, acquiring a timing feature of the distributed generator in an access power distribution region by using maximum likelihood estimation and acquiring a timing feature of a user which accesses the power distribution region by using classification and regression trees; and inputting the timing feature of the distributed generator and the timing feature of the user which access the power distribution region into a combination optimization model, and determining a source-load access feeder through optimization.

Abstract: The present application relates to a method for evaluating an operation of a distribution network based on data capture and Spark. The method includes: acquiring a packet from a terminal, and mirroring the packet through a mirroring port of a switch to acquire a mirror packet of the packet; analyzing the mirror packet, acquiring a 101/104 protocol packet, and storing the 101/104 protocol packet into an HDFS; acquiring the 101/104 protocol packet from the HDFS, parsing the 101/104 protocol packet on a Spark platform to acquire a parameter in the 101/104 protocol packet, and analyzing and processing the parameter to obtain a key indicator for evaluating the operation of the distribution network; and displaying the key indicator through a web page.

Abstract: Disclosed are a distribution transformer terminal and a method for monitoring a state of a distribution transformer court device. The distribution transformer terminal includes an ARM core processor, a carrier communication module connected to a court device, a sub-G wireless communication module connected to the court device and a GPS module connected to the court device. The ARM core processor is connected to the carrier communication module, the sub-G wireless communication module and the GPS module. The ARM core processor is configured to identify a phase of the court device and a court to which the court device belongs, acquire an operating state and fault information of the court device through the sub-G wireless communication module, and acquire geographical location information of the court device through the GPS module.