Research on Planning Strategy of Power Distribution Network Integrated Energy Collaborative Optimization Based on Big Data
- DOI
- 10.2991/mcei-18.2018.11How to use a DOI?
- Keywords
- Big data; Power distribution network; Energy collaborative optimization
- Abstract
Power distribution network planning is the first step in the development and construction of intelligent power distribution network. Traditional power distribution network planning system and method cannot adapt to the new requirements in "big data" and "Internet plus" era, so it is urgent to speed up the construction of power distribution network planning platform. This paper analyzes the functional localization, functional requirement and data requirement of electric power enterprise for power distribution network planning intelligent assistant decision-making platform, introduces the implementation scheme of building a power distribution network integrated energy collaborative optimization based on big data based on cloud platform of electric power enterprise, including the function architecture, information architecture, data support, system integration and deployment plan. The construction of building a power distribution network integrated energy collaborative optimization auxiliary platform based on big data has important research significance and application value to improve the planning design and operation management level of intelligent power distribution network.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Weidong Zeng AU - Zhikeng Li AU - Hao Yang AU - Shu Zhou AU - Wei Liao PY - 2018/06 DA - 2018/06 TI - Research on Planning Strategy of Power Distribution Network Integrated Energy Collaborative Optimization Based on Big Data BT - Proceedings of the 2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018) PB - Atlantis Press SP - 53 EP - 58 SN - 2352-538X UR - https://doi.org/10.2991/mcei-18.2018.11 DO - 10.2991/mcei-18.2018.11 ID - Zeng2018/06 ER -