EG2210 Electricity Market Analysis 7.5 credits

Elmarknadsanalys

The course “Electricity Market Analysis” provides students with an advanced knowledge of the theory of liberalized electricity markets. The course starts with introductions to fundamental concepts in microeconomics, electricity networks. It then provides an overall overview of the liberalized power markets. During the course, students employ different optimization and equilibrium approaches to analyze variety of electricity market issues. The course is recommended for students with electrical engineering, economics, or mathematics background.

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Course information

Content and learning outcomes

Course contents *

•    Introduction to electricity networks

◦         Introduction to electric power systems

◦         Introduction to microeconomics

◦         Introduction to electricity markets

•    Optimal dispatch

◦         Efficient dispatch of electricity generation with no transmission constraints

◦         Market-based dispatch of electricity generation with no transmission constraints

◦         Efficient dispatch of electricity generation with transmission constraints

◦         Nodal-Zonal-Regional pricing

•    Managing risk

◦         Basic concepts

◦         Hedging with no transmission constraints

◦         Introduction to electricity markets

•    Market power

◦         Introduction to market power

◦         Market power, nodal pricing, and transmission congestion

◦         Market power in wind-integrated power systems

◦         Measuring, forecasting, and mitigating market power

•    The generation investment decision

◦         Efficient investment in electricity generation

◦         Market-based investment in electricity generation

•    Transmission regulation, investment, and planning

◦         Introductory concepts

◦         Efficient coordination of transmission and generation investment

◦         Is there a role for market-based transmission investment?

◦         The transmission planning problem

◦         The transmission regulation problem

•    Electricity Market Lab

◦         Workshop on PLEXOS for Power Systems

◦         A series of home projects on different electricity market issues

▪         CO2 market and Financial Markets

▪         Market power and game theory

▪         Optimal Power Flow and Zonal/Nodal Pricing

▪         Hydro Power Planning

▪         Generation and Transmission Planning

▪         Transmission pricing

Intended learning outcomes *

The aim of the course is that the students learn methods and models for how the price is formed in an electricity market. The course comprises background information about possible ways to design an electricity market, impact from congestions, treatment of externalities such as methods to limit emissions, risk analysis and market power. Applied optimization is shown to be one suitable method to simulate market behaviour.

To pass the course, the students should show that they are able to:

•    describe the principles of how an electricity market can be organised,

•    describe treatment of flexible load,

•    describe methods to handle congestion in power markets,

•    describe methods for analyzing prices in markets with limited competition,

•    describe basic methods for financial risk management in power markets,

•    describe methods to handle externalities, such as environmental problems, in electricity markets,

•    perform calculations of pricing in small systems with one of the above characteristics.

To receive a higher grade students should also show that they are able to:

•    analyze pricing in larger power systems with combinations of several of the above named characteristics,

•    apply methods for analyzing the trade off between low prices and reliability in larger power systems,

•    formulate market simulation problems with mathematical expressions,

•    analyze investment dynamics in electricity markets.

Course Disposition

The theory part of this course is run in lecture-based mode. There are some topics that students learn in project-based learning (PBL) mode. The Plexos software is used for the PBL part.

Literature and preparations

Specific prerequisites *

• SF1625 Calculus in one variable (or equivalent)

• MJ1520 Statistics and risk assessment or SF1901 Probability theory and statistics (or equivalent)

• English B/English 6 (or equivalent)

Recommended prerequisites

Optimisation theory (for example SF1811/SF1861 Optimization)

Equipment

No information inserted

Literature

The main literature of this course is:

(1) D. R. Biggar, M. R. Hesamzadeh, “The Economics of Electricity Markets”, IEEE-Wiley Press, August 2014

The complementary literatures are:

(2) L. Söder, “Electricity Market Analysis”, Compendium, KTH Publishing house.

(3) Reading list

Examination and completion

Grading scale *

A, B, C, D, E, FX, F

Examination *

  • TENA - Exam, 7.5 credits, Grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Mohammad Reza Hesamzadeh

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web EG2210

Offered by

EECS/Electrical Energy Engineering

Main field of study *

Electrical Engineering

Education cycle *

Second cycle

Add-on studies

EG2220 Power Generation, environment and markets

Ethical approach *

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Supplementary information

In this course, the EECS code of honor applies, see: http://www.kth.se/en/eecs/utbildning/hederskodex.