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Novel load forecasting technique for three time-horizons in electric power system

Novel load forecasting technique for three time-horizons in electric power system. Swasti R. Khuntia. Thesis Factsheet. Title of thesis: Novel load forecasting technique for three time-horizons in electric power system Name of student: Swasti R. Khuntia

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Novel load forecasting technique for three time-horizons in electric power system

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  1. Novel load forecasting technique for three time-horizons in electric power system Swasti R. Khuntia

  2. 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]

  3. 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

  4. 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

  5. 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

  6. 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

  7. Project Plan Literature Test-case study WP5, 6 Implementation/Validation Writing Thesis 2016 04/2014 2015 2017 04/2018

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