Research and Application of Multi-Energy Coordinated Control of Generation, Network, Load and Storage

被引:0
|
作者
Sun H. [1 ]
Zhai H. [1 ]
Wu X. [2 ]
机构
[1] NARI Technology Co. Ltd, Nanjing
[2] State Grid Corporation of East China, Shanghai
关键词
Comprehensive management of ubiquitous resources; Generation network load storage; Multiple; New energy consumption;
D O I
10.19595/j.cnki.1000-6753.tces.200188
中图分类号
学科分类号
摘要
In view of the development direction from the traditional "source following load" scheduling mode to the "Generation Network Load Storage multiple coordination ubiquitous scheduling control" mode, this paper designs the source network load storage multiple coordination control system. Through the access layer, network layer, platform layer, application layer four layer system structure to build the entire system, using huge amounts of data unified management technology, multi-source data fusion technology, multi-source data unified service technology, resource holographic perception and decision making in this paper, the source of net charge to store each application scenarios to support key technologies, eventually fall to the ground pilot east China control sub-center through source network integrated resource management platform access storage of all kinds of adjusting resources, selection during the National Day in east China new energy given the most severe situation in anhui power grid as an experiment object. Through the comprehensive resource management platform of charge storage and storage in the source network, it releases peak demand for adjusting, and makes use of the adjustable capacity of electric vehicle companies, Tongli regional comprehensive energy body and other resources to support the consumption of new energy in the noon of holidays in Anhui, so as to reduce the peak and valley difference of the power grid and reduce the operation risk of the power grid. © 2021, Electrical Technology Press Co. Ltd. All right reserved.
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页码:3264 / 3271
页数:7
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  • [1] Shu Yinbiao, Zhang Zhigang, Guo Jianbo, Et al., Study on key factors and solution of renewable energy accommodation, Proceedings of the CSEE, 37, 1, pp. 1-9, (2017)
  • [2] Xu Hongqiang, Architecture of dispatching and control cloud and its application prospect, Power System Technology, 41, 10, pp. 3104-3111, (2017)
  • [3] Yang Dongsheng, Wang Daohao, Zhou Bowen, Et al., Technologies and application prospects of ubiquitous power internet of things, Power Generation Technology, 40, 2, pp. 107-114, (2019)
  • [4] Zhao Yunshan, Liu Huanhuan, Research on application of big data technique in electricity power industry, Telecommunications Science, 30, 1, pp. 57-62, (2014)
  • [5] Xu Hongqiang, Structured design and application of power dispatching universal data object for dispatching and control cloud, Power System Technology, 42, 7, pp. 2248-2254, (2018)
  • [6] Hao Ran, Ai Qian, Xiao Fei, Architecture based on multivariate big data platform for analyzing electricity consumption behavior, Electric Power Automation Equipment, 37, 8, pp. 20-27, (2017)
  • [7] Leng Xiwu, Chen Guoping, Bai Jingjie, Et al., Design of smart grid monitoring operation big data analysis system, Automation of Electric Power Systems, 42, 12, pp. 160-166, (2018)
  • [8] Leng Xiwu, Chen Guoping, Jiang Yu, Et al., Data specification and processing in big-data analysis system for monitoring and operation of smart grid, Automation of Electric Power Systems, 42, 19, pp. 169-176, (2018)
  • [9] Leng Xiwu, Chen Guoping, Jiang Yu, Et al., Model construction method of big data application for monitoring and control of smart grid, Automation of Electric Power Systems, 42, 20, pp. 115-122, (2018)
  • [10] Lai Changwei, Li Jinghua, Chen Bo, Et al., Review of photovoltaic power output prediction technology, Transactions of China Electrotechnical Society, 34, 6, pp. 1201-1217, (2019)