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

Xudong Wang

Yi Ding

Yan Qi

Guodong Li

Xianxu Huo

Shiqian Ma

Lei Wu

Xuejun Shang

Tianchun Xiang

Ke Xu

Zhijun Zhang

Jikeng Lin

Pan Zhang

Ning Jiang

Tao Liu

Yu Xuan Zhang

Kai Wang

Yunfei Mu

Wei Fan

Jingjing Yan

Lu Sun

Tao Li

Tianhao Wang

Jie Zhang

Qingshan Xu

Qinghu Hu

Aidong Zeng

Guangyu Wu

Chao Huang

Bofeng Luo

Haibiao Wang

Menghan Wu

Ning Kang

Wangxi Xue

Qiuliang Jiao

Jian Zhuang

Gaomeng Wang

Ping Tang

Ling Jiang

Honglei Zhao

Yanxin Shi

Yanjun Wen

Baoguo Zhao

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

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

The present invention discloses an extremum seeking-based control method for maximum output tracking of a wind turbine generator, mainly comprising three steps of first closed-loop feedback, second closed-loop feedback, and third closed-loop feedback. The method for resisting mechanical fatigue of a double-fed variable speed constant frequency wind turbine generator by controlling mechanical torque while capturing maximum wind energy provided in the present invention is applied to a double-fed variable speed constant frequency wind turbine system by improving the control based on sliding mode extremum seeking with the following effects that, with regard to the maximum wind energy tracking effect, the rotating speed can be quickly adjusted to keep the tip speed ratio &#x3bb; as its optimum value after the wind speed changes, so that the wind energy utilization coefficient is restored to the maximum value.

Extremum seeking-based control method for maximum output tracking of a wind turbine generator

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Tianjin, China

Xudong Wang