Please use this identifier to cite or link to this item: http://repository.aaup.edu/jspui/handle/123456789/2695
Title: Spatial Decision-Support System for Electrical Distribution Grids رسالة ماجستير
Authors: ASAD, ESRA'A Hasan ASAD$AAUP$Palestinian
Keywords: gis,geometric network,electrical geometric network
Issue Date: 2020
Publisher: AAUP
Abstract: This thesis expresses a suggested model for Spatial Decision Support System (SDSS) to demonstrate the distribution of electric system as geometric network in Geographic Information System (GIS). Spatial data of the Qabatya city as the suggested study area was collected, Digitized and prepared for GIS geodatabase and analysis. A geometric network was applied after collecting and preparing geometric and attributes data connected to the relevant geometric layers. In order to present, analyze and make smart decisions, relevant layers were created to express the complex electric system components. Medium and low voltage networks were considered, transformers and feeders were also taken into account. Cables were digitized and relevant attributes were added just as material and cross section area, length was calculated geometrically counting on the spatial abilities of GIS, and the resistance was calculated mathematically. The consumers’ meters were considered and their updated data about the electrical consumptions were exported from the municipality special system. Electric theories and equations were used and implemented to calculate daily and hourly power consumption where they helped to calculate the electric current for each consumer’s meter. Geometric network analysis tools and methods were used to examine and present the flow direction of the electric current. In order to calculate the technical losses for each cable at any phase according to its properties, resistance, length and electric current, the geometric network including all the VI calculated results was designed and built using a hierarchical tree structure model using Oracle database to store exported data and SQL queries to calculate the current and technical losses using backward and forward approach to express the electric flow and its distribution in the network. The results were also presented in special website programmed using java programming language. The results were exported to attribute table that was joined to the spatial data. This enrichment data helped to present them spatially on the map by producing semantic maps using graduated color sympology for the electric current for each cable. In order to help the decision maker, the network was separated and each phase was presented individually. Satisfying results were presented for the electric network and the voltage vs. length, phases were highlighted for each cable and each phase A 3D model was created, designed and presented to give a virtual really image of the system in the study area to help the decision makers to understand, watch the results of the reality and to be able to manage it smartly and making right and effective decisions.
Description: Master`s degree in Computer Science
URI: http://repository.aaup.edu/jspui/handle/123456789/2695
Appears in Collections:Master Theses and Ph.D. Dissertations

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