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Distributed energy storage node controller and control strategy based on energy storage cloud platform architecture

2020-08-10

Distributed energy storage node controller and control strategy based on energy storage cloud platform architecture

基于储能云平台架构的分布式储能节点控制器及控制策略研究

Tao Yan¹, Jialiang Liu¹, Qianqian Niu¹^,², Jizhong Chen¹, Shaohua Xu¹, Meng Niu¹, Jerry Y.S. Lin³

（1.China Electric Power Research Institute, Haidian District, Beijing 100192, P.R.China 2.Beijing Jiaotong University, Haidian District, Beijing 100044, P.R.China 3.Arizona State University, 336E Orange ST Tempe, AZ 85281, Arizona, U.S.A）

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Abstract

Based on the energy storage cloud platform architecture, this study considers the extensive configuration of energy storage devices and the future large-scale application of electric vehicles at the customer side to build a new mode of smart power consumption with a flexible interaction, smooth the peak/valley difference of the load side power, and improve energy efficiency. A plug and play device for customer-side energy storage and an internet-based energy storage cloud platform are developed herein to build a new intelligent power consumption mode with a flexible interaction suitable for ordinary customers. Based on the load perception of the power grid, this study aims to investigate the operating state and service life of distributed energy storage devices. By selecting an integrated optimal control scheme, this study designs a kind of energy optimization and deployment strategy for stratified partition to reduce the operating cost of the energy storage device on the client side. The effectiveness of the system and the control strategy is verified through the Suzhou client-side distributed energy storage demonstration project.

Keywords

Distributed energy storage, Optimum control, Plug and play, Energy storage cloud platform.

Fig.1 Schematic of the energy storage cloud platform architecture

Fig.2 Plug and play device functional structure diagram

Fig.3 Plug and play device architecture

Fig.4 Functional architecture of the distributed energy storage network operating platform

Fig.5 5G schematic of the deployment plan

Fig.6 Power optimization and deployment strategy

Fig.7 Typical load curve of Langqinwan area

Fig.8 Typical load curve of Langqinwan area

本文引文信息

Yan T, Liu J, Niu Q, Chen J, Xu S, Niu M, Lin J (2020) Distributed energy storage node controller and control strategy based on energy storage cloud platform architecture. Global Energy Interconnection, 3(2): 166-174

闫涛，刘家亮，牛倩倩，陈继忠，徐少华，牛萌，Jerry YS Lin (2020) 基于储能云平台架构的分布式储能节点控制器及控制策略研究. 全球能源互联网（英文），3(2): 166-174

Biographies

Tao Yan

received his Ph.D. degree in 2007 from Beijing University of Technology, China. He works at the China electric power research institute. He mainly studies the power electronics technology and the access technology of the energy storage system.

Jialiang Liu

received his master degree from Huazhong University of Science and Technology (HUST), China. He works at the China electric power research institute. He mainly studies energy storage systems.

Qianqian Niu

received her bachelor degree in 2018 from Shanxi University of Engineering. Her major field of interest includes power electronics.

Jizhong Chen

received his Ph.D. degree from Institute of Electrical Engineering of the Chinese Academy of Sciences in 2007. He works at China Electric Power Research Institute. He mainly studies the integration, application and evaluation of large-scale energy storage technology.

Shaohua Xu

received his Ph.D. degree from China Electric Power Research Institute. He works at the China Electric Power Research Institute. He mainly studies microgrid inverter control.

Meng Niu

received her master degree from Beijing Jiaotong University in 2010. She is a senior engineer at China Electric Power Research Institute. She is working on configuration and integration of large scale energy storage system in power system.

Jerry Y.S. Lin

is a special expert in the “thousand talents program” of the China electric power research institute and a distinguished professor for life at Arizona state university. He provided technical support for battery modeling in this project.

Editor：Zhou zhou