未来主动配电网中的新型数据驱动应用：技术，展望与挑战

doi:10.3969/j.issn.1000－7229.2017.05.001

电力建设 ›› 2017, Vol. 38 ›› Issue (5): 2-.doi: 10.3969/j.issn.1000－7229.2017.05.001

未来主动配电网中的新型数据驱动应用：技术，展望与挑战

董朝阳1, 2, 陈莹莹3，罗逢吉4

1.南方电网科学研究院，广州市 510080；2. 新南威尔士大学电机工程与通信系，
新南威尔士州 2052, 澳大利亚；3. 悉尼大学电气工程学院, 新南威尔士州 2006, 澳大利亚；4. 悉尼大学土木工程学院, 新南威尔士州 2006, 澳大利亚

出版日期:2017-05-01
作者简介:董朝阳(1971)，男，国家“千人计划”特聘专家，澳大利亚新南威尔士大学教授，本文通信作者，主要从事电力系统安全性、电力系统规划与管理、电力市场仿真与风险管理、数据挖掘等方面的研究工作；陈莹莹(1984)，女，博士，澳大利亚悉尼大学研究员，主要从事数据挖掘、新能源并网技术及电力大数据应用研发等方面的研究工作；罗逢吉(1983)，男，博士，澳大利亚悉尼大学博士后研究员，主要从事新能源并网技术、需求侧管理、计算智能及其在智能电网中的应用等方面的研究工作。
基金资助:
中国南方电网公司科技项目(WYKJ00000027)

Innovative Data-Driven Applications in Future Active Distribution Network: Technologies, Prospect and Challenges

DONG Zhaoyang1, 2, CHEN Yingying3, LUO Fengji4

1. Southern China Power Grid Research Institute, Guangzhou 510080, China;
2. School of Electrical Engineering and Telecommunications, University of New South Wales, NSW 2052, Australia;

3. School of Electrical Engineering, University of Sydney, NSW 2006, Australia;

4. School of Civil Engineering, University of Sydney, NSW 2006, Australia

Online:2017-05-01
Supported by:

摘要/Abstract

摘要： This paper discusses some promising innovative data-driven applications in future active distribution networks (ADN), based on the current development of smart grid. Firstly, this paper analyzes the state-of-the-art and development trends of the ADN, and then introduces some important data analytics technologies that can be expected to be applied in future active distribution networks. Based on this, this paper discusses some innovative data-driven applications and also analyzes the associated challenges in the actual implementation.

关键词: active distribution network (ADN), smart grid, big data, demand side management, cyber security, data analytics, distributed generation

Abstract: This paper discusses some promising innovative data-driven applications in future active distribution networks (ADN), based on the current development of smart grid. Firstly, this paper analyzes the state-of-the-art and development trends of the ADN, and then introduces some important data analytics technologies that can be expected to be applied in future active distribution networks. Based on this, this paper discusses some innovative data-driven applications and also analyzes the associated challenges in the actual implementation.

Key words: active distribution network (ADN), smart grid, big data, demand side management, cyber security, data analytics, distributed generation

中图分类号:

TM 72
TP311

董朝阳, 陈莹莹, 罗逢吉. 未来主动配电网中的新型数据驱动应用：技术，展望与挑战[J]. 电力建设, 2017, 38(5): 2-.

DONG Zhaoyang, CHEN Yingying, LUO Fengji. Innovative Data-Driven Applications in Future Active Distribution Network: Technologies, Prospect and Challenges[J]. ELECTRIC POWER CONSTRUCTION, 2017, 38(5): 2-.

未来主动配电网中的新型数据驱动应用：技术，展望与挑战

Innovative Data-Driven Applications in Future Active Distribution Network: Technologies, Prospect and Challenges

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