Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Lecture

Power System Economics Fundamentals

In course

EE-570: Power system restructuring and deregulation

This course presents different types and mechanisms of electricity markets. It addresses in particular their impacts on power/distribution systems operation and consequently the appropriate strategies capable to ensure a secure and reliable functioning. ...

Description

This lecture covers the fundamentals of power system economics, focusing on the Cournot model of competition and Nash equilibrium points. It explains how generating companies maximize profit by adjusting their output and the calculations involved. The lecture also delves into the optimization problems for generators A and B, emphasizing the importance of system security and ancillary services in power systems.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructor

Sidi-Rachid Cherkaoui

Rachid Cherkaoui received the M.S. degree in electrical engineering and the Ph.D. degree from Swiss Federal Institute of Technology (EPFL), Lausanne, in 1983 and 1992 respectively. From 1983 to 1987, he worked at Entreprises Electriques Fribourgeoises (Swiss electrical utility) developing a state estimator and security analysis tools for the HV transmission system of that company. From 1987 to 1992, he joined the power system laboratory of EPFL where he achieved his Ph.D. thesis in the field of optimal operation topologies for distribution systems. In this respect, he was the recipient of the ABB Swiss Award83. Since 1993, he is leading the research activities in the field of optimization and simulation techniques applied to electrical power and distribution systems. Presently his main research topics are electricity market deregulation, distributed generation and storage, and, power system vulnerability mitigation. He is senior member of IEEE, member of technical program committees of various conferences, member of CIGRE task forces C5-2, and IEEE Swiss Chapter officer since 2005. He serves regularly as reviewer for different journals and conferences. Dr. Cherkaoui is the author or co-author of more than 50 scientific publications.

Official source

Ontological neighbourhood

Economics

Macroeconomics: Competition

Related concepts (32)

Profit maximization

In economics, profit maximization is the short run or long run process by which a firm may determine the price, input and output levels that will lead to the highest possible total profit (or just profit in short). In neoclassical economics, which is currently the mainstream approach to microeconomics, the firm is assumed to be a "rational agent" (whether operating in a perfectly competitive market or otherwise) which wants to maximize its total profit, which is the difference between its total revenue and its total cost.

Cournot competition

Cournot competition is an economic model used to describe an industry structure in which companies compete on the amount of output they will produce, which they decide on independently of each other and at the same time. It is named after Antoine Augustin Cournot (1801–1877) who was inspired by observing competition in a spring water duopoly. It has the following features: There is more than one firm and all firms produce a homogeneous product, i.e., there is no product differentiation; Firms do not cooperate, i.

Profit (economics)

In economics, profit is the difference between revenue that an economic entity has received from its outputs and total costs of its inputs. It is equal to total revenue minus total cost, including both explicit and implicit costs. It is different from accounting profit, which only relates to the explicit costs that appear on a firm's financial statements. An accountant measures the firm's accounting profit as the firm's total revenue minus only the firm's explicit costs.

Optimization problem

In mathematics, computer science and economics, an optimization problem is the problem of finding the best solution from all feasible solutions. Optimization problems can be divided into two categories, depending on whether the variables are continuous or discrete: An optimization problem with discrete variables is known as a discrete optimization, in which an object such as an integer, permutation or graph must be found from a countable set.

Mathematical optimization

Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.

Related lectures (54)

Support Vector Machines: SVM Basics

Covers the basics of Support Vector Machines, focusing on hard-margin and soft-margin formulations.

Stochastic Optimization: Algorithms and Methods

Explores stochastic optimization algorithms and methods for convex problems with smooth and nonsmooth risks.

Optimization Methods: Theory Discussion

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Optimization with Constraints: KKT Conditions

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Microeconomic Consumer Theory MOOC: Introduction to Discrete Choice Models