International Business Machines Corporation

State Grid Corporation of China

China Electric Power Research Institute

Zhangjiakou Wind and Solar Power Energy Demonstration Station Co. Ltd., State Grid Xin Yuan Company

Other

China Electric Power Research Institute Company Limited

Zhangjiakou Wind and Solar Power Energy Demonstration

Dong Hui

Xiangjun Li

Yu Zhang

Liang Wang

Tan Jiang

Da Hu Kuang

Chun Xiao Zhang

Peng Xa Cui

Lan Ling

Xu Peng

Xuecui Jia

Xiaokang Lai

Liang Zhang

Ping Wang

Yuting He

Yinming Wang

Si Zhu

Liye Wang

Guangchao Guo

Jingqiong Zhang

Yanting Liang

Mingjie Gao

Shaoyu Liu

An adaptive dynamic planning control method and system for a large-scale energy storage station. The method comprises: setting a structure and control target parameters of an adaptive dynamic planning control system; initializing the parameters and importing an initial state of a controlled object; calculating an original wind electricity power fluctuation rate at a current moment t and smoothing the original wind electricity power according to a change rate control strategy; calculating a smoothed wind storage power fluctuation rate, a power of an energy storage system, and a state of charge (SOC) of the energy storage system; initializing and training an evaluation module and an execution module; calculating and saving a control strategy, a smoothed wind storage power fluctuation rate, an energy storage power and a (SOC) at each moment; and outputting the control strategy at each moment, the smoothed wind storage power fluctuation rate, the energy storage power and the (SOC).

Adaptive dynamic planning control method and system for energy storage station, and storage medium

A method and system. A dataset is generated according to a code package. The code package includes an image file associated with a container for a tenant in a cloud environment. The dataset includes general information related to security aspects of the image file. The image file includes two or more image layers. A security indicator of the image file is extracted according to the dataset. A security level of the image file is determined by comparing the extracted security indicator of the image file with a security indicator of an authenticated image file. A vulnerability in the image file is identified based on the determined security level. In response to the vulnerability having been identified, the image file is updated with a patch that fixes the identified vulnerability. The patch includes a new image layer added to the two or more image layers in the updated image file.

Code package processing

A method and system for code package. A dataset is generated according to a code package. The code package includes an image file associated with a container for a tenant. The dataset includes general information related to security aspects of the image file. The image file includes two or more image layers. Generating the dataset according to the code package includes: exporting an image layer from the image file; and obtaining a configuration file of the exported image layer as the dataset. In response to the vulnerability having been identified, the image file is updated with a patch that fixes the identified vulnerability. The patch includes a new image layer added to the two or more image layers in the updated image file.

A method and associated system. A dataset is generated according to a code package. The code package includes an image file associated with a container for a tenant in a cloud environment. The dataset includes general information related to security aspects of the image file. A security level of the image file is determined according to the generated dataset. A vulnerability corresponding to the code package is identified based on the security level. In response to the vulnerability having been identified, the code package is updated with a patch associated with the identified vulnerability.

The present invention provides an energy management method of a multi-type battery energy storage power station considering charge and discharge rates, that includes: reading related data of the battery energy storage power station; calculating charge or discharge rate characteristic values of battery energy storage machine sets; calculating initial power command values of the battery energy storage machine sets; judging whether the initial power command values of the battery energy storage machine sets exceed the maximum allowable charge or discharge power of the machine sets in real time, if more than, online correcting and re-calculating the initial power command values of the battery energy storage machine sets; otherwise, setting the initial power command values of the energy storage machine sets as the power command values thereof; and summarizing the power command values of the battery energy storage machine sets, and outputting the same. With the reasonable control of the charge and discharge rates of the energy storage machines sets as target, the energy management method of the present invention is used for carrying out power coordinated control and energy management in the energy storage power station, and considering the service lives of energy storage batteries in the control strategy to achieve the functions of avoiding abuse of the energy storage batteries as much as possible, delaying battery aging and the like.

Energy management method of multi-type battery energy storage power station considering charge and discharge rates

The invention provides a lithium battery and redox flow battery energy storage systems hybrid energy storage power station real-time power distribution method and system. The system comprises a communication module, a data storage and management module, a gross power coordination control module and a real-time power distribution module. The said method and system not only can complete the real-time distribution of each battery energy storage units in the battery energy storage station, but also the aims of effective control and distribution of the lithium-liquid flow cell combined energy storage power station and aims of effective control and distribution of the lithium-flow flow joint energy storage power station real-time power can be achieved.

Real-time power distribution method and system for lithium battery and redox flow battery energy storage systems hybrid energy storage power station

The present invention relates to a monitoring and controlling system and method for megawatt level battery energy storage power plant, which includes: a central monitoring and controlling module is used to determine the power command value of each energy storage substation of the battery energy storage power plant, and send it to all the local monitoring and controlling modules; the local monitoring and controlling modules is used to calculate the power command value of each energy storage unit of the energy storage substations controlled by it, and sending it to each energy storage unit, and upload to the central monitoring and controlling module to store. Between the central monitoring and controlling module and the local monitoring and controlling modules, the data transmission and communication are carried out through communication networks; the communication networks adopt real time and non real time communication parallel network structure.

Monitoring system and method for megawatt level battery energy storage power plant

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Beijing, China

Dong Hui