Decision risk analysis for power grid planning based on AHP fusion RBF
- DOI
- 10.2991/amcce-17.2017.177How to use a DOI?
- Keywords
- power grid planning; analogue simulation; application data; systematic design
- Abstract
In order to meet the structural and functional requirements of simulation laboratory for power grid planning study for application data processing, a set of application data subsystems for the simulation laboratory of power grid planning study is designed according to the actual demand of grid planning and simulation. Design thought of application data subsystem of simulation laboratory for power grid planning study is discussed in detail from overall structure to actual functions; the application data subsystem is subject to integration method based on the data bus and uses CORBA to solve the interoperability of distributed objects in cross-heterogeneous system; open structure is used to provide a network architecture which has redundant key function and support distributed processing environment, to meet the scalability, security, reliability, openness, easy maintenance needs. Main functions include: data exchange platform, data centre, graph centre, data query and pivot, information service, information maintenance platform unified by WEB, provide a unified platform support for accessed / embedded third-party application function, and so on. The level of power grid planning simulation is improved, a more rational planning program is verified, and greater benefits are created.
- Copyright
- © 2017, 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 - CHunYan Fan AU - Xiaoxia Li AU - Hongyin Jiang AU - Zhibin Chen PY - 2017/03 DA - 2017/03 TI - Decision risk analysis for power grid planning based on AHP fusion RBF BT - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017) PB - Atlantis Press SP - 1000 EP - 1003 SN - 2352-5401 UR - https://doi.org/10.2991/amcce-17.2017.177 DO - 10.2991/amcce-17.2017.177 ID - Fan2017/03 ER -