State Grid Corporation of China

State Grid Tianjin Electric Power Company

Electric Power Science & Research Institute of State Grid Tianjin Electric Power Company

Tianjin University

North China Electric Power University

Shangai Wiscom Sunest Electric Power Technology Co., Ltd.

Electric Power Science & Research Institute of State Grid Tianjin Electric Power

Yi Ding

Xudong Wang

Xianxu Huo

Shiqian Ma

Yan Qi

Guodong Li

Lei Wu

Xuejun Shang

Tianchun Xiang

Tianhao Wang

Zhijun Zhang

Pan Zhang

Ning Jiang

Tao Liu

Yu Xuan Zhang

Yunfei Mu

Wei Fan

Ke Xu

Yun Liu

Tao Li

Jie Zhang

Jikeng Lin

Bofeng Luo

Qinghu Hu

Bin Wu

Chao Pang

Jian Zhang

Chao Huang

Jiancheng Yu

Haibiao Wang

Ning Kang

Wangxi Xue

Chenyang Zhao

Qiuliang Jiao

Zhishuang Wang

Jian Zhuang

Gaomeng Wang

Menghan Wu

Ping Tang

Yanxin Shi

Yanjun Wen

Provided are a method for optimizing system energy efficiency and apparatus based on an integrated energy requirement, an electronic device, and a storage medium. The method includes, in response to a received target integrated energy requirement, constructing the energy efficiency optimization function of a target system according to an integrated energy requirement parameter, the operating parameter of the target system, and the environment loss parameter of the target system; constructing a constraint condition for optimizing the energy efficiency of the target system based on the balance relationship between energy supply and energy consumption and a device operating requirement for transmitting energy; and based on the energy efficiency optimization function and the constraint condition, using a target algorithm, using operating parameters of multiple devices in the target system as population individuals.

Method and apparatus for optimizing system energy efficiency based on an integrated energy requirement, electronic device, and storage medium

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.

Method for making spatio-temporal combined optimal scheduling strategy of mobile energy storage (MES) system

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. The control system includes the master-station dispatching system and the sub-station coordination systems.

Control method and system for distribution network with distributed mobile energy storage systems

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.

Source-load cooperation access method for a power distribution region, terminal and storage medium

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.

Method and system for evaluating an operation of a distribution network

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.

Distribution transformer terminal and method for monitoring a state of a distribution transformer court device

Provided are a method and a device for identifying a distribution network topology error. The method includes: calculating a voltage of a coupling node to which each load belongs and obtaining a voltage sample space of coupling nodes to which all loads belong; calculating a current of a branch to which each load belongs and obtaining a current sample space of branches to which all loads belong; calculating a voltage correlation coefficient and a current correlation coefficient respectively between different loads according to the obtained voltage sample space and the current sample space; and completing verification and correction of the distribution network topology.

Method and device for identifying distribution network topology error

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Tianjin, China

Yi Ding