State Grid Corporation of China

State Grid Tianjin Electric Power Company

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

Other

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

Yan Qi

Xudong Wang

Yi Ding

Guodong Li

Xianxu Huo

Shiqian Ma

Ke Xu

Lei Wu

Xuejun Shang

Tianchun Xiang

Zhijun Zhang

Pan Zhang

Ning Jiang

Yu Xuan Zhang

Yunfei Mu

Kai Wang

Wei Fan

Jingjing Yan

Lu Sun

Tao Li

Jie Zhang

Jikeng Lin

Qingshan Xu

Qinghu Hu

Aidong Zeng

Bofeng Luo

Chao Huang

Menghan Wu

Ning Kang

Wangxi Xue

Qiuliang Jiao

Haibiao Wang

Jian Zhuang

Gaomeng Wang

Ping Tang

Ling Jiang

Honglei Zhao

Yanxin Shi

Yanjun Wen

Baoguo Zhao

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

The invention relates to a method for real-time scheduling of multi-energy complementary micro-grids based on a Rollout algorithm, which is technically characterized by comprising the following steps of: Step 1, setting up a moving-horizon Markov decision process model for the real-time scheduling of the multi-energy complementary micro-grids with random new-energy outputs, and establishing constraint conditions for the real-time scheduling; Step 2, establishing a target function of the real-time scheduling; Step 3, dividing a single complete scheduling cycle into a plurality of scheduling intervals, and finding one basic feasible solution meeting the constraint conditions for the real-time scheduling based on a greedy algorithm; and Step 4, finding a solution to the moving-horizon Markov decision process model for the real-time scheduling of the multi-energy complementary micro-grids by using the Rollout algorithm based on the basic feasible solution from Step 3. With the consideration of the fluctuations in the new-energy outputs, the present invention solves the problems of low speed and low efficiency of a traditional algorithm at the same time, enabling high-speed efficient multi-energy complementary micro-grid real-time scheduling.

Method for real-time scheduling of multi-energy complementary micro-grids based on rollout algorithm

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Tianjin, China

Yan Qi