标签模块
Solutions
Downloads
Projects
Containerized Energy Storage
Solar-plus-Storage EV Charging
Microgrid
Frequency Regulation
Power Backup
Communication Base Station Energy Storage System Solutions.pdf
Download
The Laboratory Solutions of MicroGrids (LMG) with energy storage.pdf
Download
GWC 1.0 Cloud energy storage and Controller's  maunals .pdf
Download
Tensorflow Porting.pdf
Download
A prototype microgrid system with energy storage in Hubei University of Technology
标签模块
GWController
GWRouter
GWGridStorage
GWAnalyst
NeuEMS
Controller for Energy Storage System
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GWController, a central controller of energy storage system, provides EMS and SCADA in Energy Management System (EMS). It plays a critical role in Containerized Energy Storage System, PVs & Battery Energy System, and Energy storage frequency regulation Solutions.

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Energy Router for Storage Systems
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GWRouter, a energy storage router platform used for dispatching department of megawatt battery energy storage power station, accepting dispatching instruction from the grids and tracking power output from the energy storage power station. This solution is suitable for the EMS energy dispatch of large-capacity electrical energy storage with its real time anti-virus and anti-aggression operation system.
Distributed Energy Storage System
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With buildings mainly led to energy consumption, peak electricity demand has a profound impact on the grid, especially during peak times. The micro energy storage plant under Off-Peak operation, a solution of green building,  could regulate electric utility, minimize building power losses and access to PV power generation, As the smart building spreads, higher power quality is required to intelligent devices, to economically provide power factor correction (PFC)  and Back-up Power.
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Cloud Energy Storage
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GW AI Cloud, a software evaluating the benefits of an electrical energy storage system, provides an automatical calculation for the cost of device investment by its database, which based on users' configurable options with equipment brand, installation form, address and a general budget. Then revenue estimation could be figured out by the database combined with local electricity price, subsidy policy and battery life.
Grid-Scale Energy Storage Systems
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Based on a capacity over 10MW, Grid-scale battery-based energy storage system has the function of local monitoring and energy dispatching. With the design idea of function integration and modularity, NeuEMS includes two levels :system layer and device layer. The system consists of GWController, NeuEMS, Windows and Industrial Ethernet switches. The device layer access to actual operation data and update to system layer by interacting with BMS, PCS, TCS and FFS through modbus by the GWController.

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OUR  
PRODUCTS
Xiongwen GU
CEO

Mr. Gu has been inbolving in the first domestic projects on "Substation integrated automation system" at  Xi`an Jiaotong University(1992-1995); The chief engineer of Shenzhen Shuanghe Electric Co., Ltd.; The chief engineer and R&D Director of  Zhuhai Pilot Technology Co., Ltd.; The winner of the third prize of Shenzhen Science and Technology Progress Award, the first prize of Zhuhai Science and Technology Progress Award and the third prize of Guangdong Province Science and Technology Progress Award.
OUR
TEAM
ENTERPRISE
SPIRIT

· Our Vision: World's leading provider of networked energy solutions.

· Our Values: Innovative, excellent and cooperative development.

· Our Mission: To make energy intelligent.
NEWS
CENTRE
Successful transplant of TensorFlow by our technical Engineer Huang
Successful acception of  a prototype microgrid system with energy storage in Hubei University of Technology
This project successfully realize the machine learing control in energy storage system, with the model training and operation controlling curves optimization. "Simplicity in settings, Operation be goofier", is an implementation of operation and maintenance in the complex energy storage system.
The latest artificial intelligent algorithm is always usable under our Engineer Huang's transplantation of the Tensorflow model into ARM9 core, even without the device level. The code is open source, downloadable, welcome to download.
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