Document Details

Document Type : Thesis 
Document Title :
FORECASTING AND SIMULATION FOR ELECTRICAL POWER SYSTEM AND LOAD DISTRIBUTION IN TAIF – SAUDI ARABIA
التنبؤ والمحاكاة لنظام الطاقة الكهربائية وتوزيع الأحمال في مدينة الطائف بالمملكة العربية السعودية
 
Subject : Faculty of Engineering 
Document Language : Arabic 
Abstract : Monitoring the electrical power system and clarifying the way of electricity flow is difficult, which might cause electricity cuts because of the increasing loads of the network grids. In recent years, the observations showed that electric loads in Taif city had increased significantly due to the population growth and extensive urbanization. These causes require an excellent monitoring and analyzing system to maintain electrical service continuity and reliability. Machine Learning and Dynamic Programming Approaches applied for short-term load forecasting and optimization of power load for the Electrical Power System in Taif to avoid unexpected electrical network problems before they occurred. The other goal is to monitor the electrical power system in Taif city and clarify the electricity flow from Makkah to Taif and then to other neighboring districts. The studys results and findings were evaluated by a statistical inference approach and presented in detail. The results showed that the shortest paths between transmission lines and substations are not using in the electrical networks, and consequently, there are large losses of electrical power. The results also showed that the best way to predict the loads is to start from the primary source of loads as an input, then branch into the outputs in the form of nerve branches to the central substations (380 KV), the error percentage (MAPE) for that was (0.000030). 
Supervisor : Prof. Osman Taylan 
Thesis Type : Master Thesis 
Publishing Year : 1443 AH
2022 AD 
Added Date : Tuesday, March 15, 2022 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
زايد عايض الحارثيAlharthi, Zayed AyedhResearcherMaster 

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 47433.pdf pdf 

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