Systematically and Fast Processing Fault on Power Distribution Grids Based on a Simplified Model Part I: Basic Approaches
- DOI
- 10.2991/iceea-18.2018.7How to use a DOI?
- Keywords
- distribution networks; fault location; load flow analysis; power distribution faults; power system restoration
- Abstract
This is Part I of a two-part paper which presents a methodology for fault location and isolation and service restoration for power distribution grids. Concepts of node, region, connected sub-grid, and simplified model of distribution grids are introduced. A simplified load flow analysis is discussed based on node-and-region load transformations. Complicated circuit analysis is avoided. Five criteria are proposed for fault location, including the distinguishability of multiple single-region faults and multiple multi-region faults. The fault is first located in a monitoring region and then in an action region. After that the action nodes of the action region are tripped to isolate the fault. Two service restoration schemes among a total of four are introduced in Part I. Tabu search is applied to seek for a close-to-optimal service restoration solution. The proposed approaches can be used in a grid of any scale. They have been imbedded in 26 power distribution automation systems of 10kV grids since 2013, and have been proven to be a great success.
- 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 - Liang Ma AU - Yi Xun AU - Zhihua Zhang AU - Xiaoqing Zhang AU - Di Yao PY - 2018/03 DA - 2018/03 TI - Systematically and Fast Processing Fault on Power Distribution Grids Based on a Simplified Model Part I: Basic Approaches BT - Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018) PB - Atlantis Press SP - 27 EP - 35 SN - 2352-5401 UR - https://doi.org/10.2991/iceea-18.2018.7 DO - 10.2991/iceea-18.2018.7 ID - Ma2018/03 ER -