Verification, Correction And Simplification Methods For Exported Data From GIS Of Distribution System

With the extensive use of GIS technology in distribution network management and other aspects, distribution GIS system has been able to supply basic data for various high-level analyses.How to effectively utilize exported data from distribution GIS to distribution network planning,has become a very important research direction of the distribution network planning study.Data maintained by distribution GIS is huge and very complex,and distribution GIS as a facility management system,it is very difficult to ensure the consistency of data at the same time,because of maintenance and updating of data using multi-user distribution methods,so this data is hard to reflect the real state of power network.Besides,basic data management in China is in a low level at present,this factor make the data quality more difficult to be ensured.For solving quality problems on utilizing exported data from distribution GIS to distribution network evaluation and planning, this paper proposes a set of rule-based data verification and correction (DVC) methods, including the DVC methods for data tables,topology structure and electrical parameters.For solving the long time problem of various advanced calculations which based on a huge amount of exported data from distribution GIS, based on the analysis for the detail degree of data required by these advanced calculations, this paper proposes a distribution model of four level which the detail degree of data is descending, distribution network can be described by original model, whole model, primary feeder model and structure model, and the simplification methods for each level are also deeply discussed. The practical data from part of Beijing distribution network show that the proposed mothod can reduce the amout of data significantly. For instance, data size in primary feeder model is 4.2% of that in original model, time for the whole network topology analysis is reduced to 1.1%, time to run power flow is reduced to 14.6% . At same time, analysis results are very close to the original data, e.g. power flow calculation error can be controlled within 0.8% .A software package of the presented methods are developed and successfully applied in power supply companies belonging to Beijing Electric Power Company.