Course info
  • Emma is experimental in nature and uses an integrated advanced automatic translation service
  • English

Course Overview

Energy is a resource that needs to be managed and decisions need to be made on production, storage, distribution and consumption of energy. Participants attending this course will learn how to recognise and formulate different optimization problems in operation management, and control of energy systems, and how to solve them using existing software and solvers. Different principal algorithms for the linear, network, discrete, and dynamic optimization are introduced and related methodologies together with underlying mathematical structures are described accordingly. Several illustrative examples and optimization problems, ranging from the classical optimization problems to the recent MILP models proposed for the optimization of integrated energy systems (such as residential microgrids) will be introduced and different tools (such as classic mathematical methods, heuristics, and meta-heuristics) will be used for solving several real-world use cases.




Learning Objectives

  • Relate process system engineering with the modelling and optimization techniques used in power systems.
  • Apply different optimization tools for continuous, semi continuous and discrete optimization problems in energy systems and implement them using Excel, MATLAB or GAMS.
  • Design and implement the schemes of Supply side and demand/load side management including peak shaving and load control/ load shifting programmes.


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Use of content and licenses

CC BY SA ND

Course Structure

  • Lesson 1 - Introduction to Process Engineering and Energy Management Concept Process system engineering (PSE)
  • Lesson 2 - Introduction to Energy System Modelling and Optimization
  • Lesson 3 - Optimization Applications in Microgrids and Smart Grids
  • Lesson 4 - Optimal power flow using simulated annealing

Teacher

Moisès Graells

Moisès Graells is an Associate Professor of Chemical Engineering at Universitat Politècnica de Catalunya. His research interests have focused on the modeling and optimization of chemical processes, especially batch processes, and also on process integration, waste management, and scheduling and planning.

Coauthor

Najmeh Bazmohammadi, EMMA Project

Najmeh Bazmohammadi is a Ph.D. candidate at K.N. Toosi University of Technology, Tehran, Iran.. Currently, she is working as a research assistant at the Department of Energy Technology, Aalborg University. Her research key areas involve distributed and hierarchical control, energy management systems of renewable-based microgrids and multi-microgrid systems.

Coauthor

Eleonora Riva Sanseverino

Eleonora Riva Sanseverino is the official reviewer for different scientific journals both in the computer science area as well as in power systems area. Her research interests are oriented to different power distribution systems aspects, mostly to energy management systems, the application of soft computing techniques to different engineering problems, problem formulation, and variables coding.

Tutor

Mashood Nasir

Mashood Nasir received his BS degree in Electrical Engineering from UET Lahore, Pakistan and MS in Electrical Engineering from UMT Lahore, and Ph.D. in Electrical Engineering from Lahore University of Management Sciences, Pakistan in 2009 and 2011, and 2018 respectively. From 2011 to 2012, he served as a lecturer and from 2013-2014 he served as an assistant professor in the Electrical Engineering department at UMT, Lahore. From, May 2017 to Nov 2017 he was a visiting Ph.D. researcher at the Microgrid Laboratory in Aalborg University Denmark. From 2018-2019 he served as an assistant professor at Lahore University of Management Science. Currently, he is a postdoctoral research fellow at Aalborg University Denmark. His research interests mainly include but not limited to power electronics, electrical machines and drives, grid integration of alternate energy resources, electrochemical energy conversion and battery storage systems and AC/DC/Hybrid microgrids.