1 challenge the future novel load forecasting technique for three time- horizons in electric power...
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1Challenge the future
Novel load forecasting technique for three time-horizons in electric power system
Swasti R. Khuntia
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2Challenge the future
Thesis Factsheet
• Title of thesis: Novel load forecasting technique for three time-horizons in electric power system
• Name of student: Swasti R. Khuntia• Start Date / End Date: 10/04/2014 – 09/04/2018
(Expected)• Departments involved: Electrical Sustainable Energy
(formal) and Applied Probability (informal)• Supervisor(s): Dr. –Ing. Jose L. Rueda• Promotor(s): Prof. Mart A. M. M. van der Meijden• Companies and funding agencies involved: EU FP7 Project
comprising of 20 partners (8 industries and 12 universities)
• Associated Project Title: GARPUR (Generally Accepted Reliability Principle with Uncertainty modelling and through probabilistic Risk assessment) [www.garpur-project.eu]
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3Challenge the future
Thesis content
• Motivation• European power system reliability management
surviving on ‘N-1’ criterion• Time to upgrade the reliability criterion• Demand-side uncertainty• Intermittent energy sources• Part of the project involved, it aims at socio-economic
benefits
• Research question• “Designing, developing, assessing, and evaluating new
reliability criteria”• My contribution: Load forecast model for three time-
horizons using novel data mining technique
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4Challenge the future
Thesis content
• Leader: T5.2 and T6.2• Contributor:
• T2.3, T2.4• T4.2, T4.3• T5.1, T5.3, T5.4• T6.3, T6.4• T7.2, T7.3• T9.1
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5Challenge the future
Thesis challenge
• Difficulty in modeling for three time-horizons• Data uncertainty• Upgrading the existing reliability criterion• Driving factor: Project implementation in pan-
European level in next decade
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6Challenge the future
Methodology
• Literature study on “Understanding the three time-horizons” in electrical transmission system
• Literature study on “Asset management in electrical transmission system”
• Literature study on “Existing methodology used in participating TSOs” [continuing]
• Power flow study on Bayesian Network• One of the most efficient probabilistic graphical models to
represent uncertainty and inferences thereof
• Nothing much done in load forecast area for three time-horizons
• Trying to assess the usability and planning to design a “hybrid”
model
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7Challenge the future
Project Plan
Literature
WP5, 6
Test-case study
Writing Thesis
Implementation/Validation
04/2014 2015 2016 2017 04/2018
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8Challenge the future