Lecture

Optimal Power Flow: Constraints and Relaxations

In course
DEMO: velit elit
Sint reprehenderit fugiat Lorem Lorem ad aliquip occaecat adipisicing occaecat deserunt. Proident eiusmod fugiat do mollit excepteur exercitation exercitation id ex sit in proident. Voluptate proident id nulla sit qui eu sint ipsum cupidatat.
Login to see this section
Description

This lecture covers the Optimal Power Flow (OPF) problem in power systems, aiming to minimize production costs while satisfying demand and operational constraints. The instructor explains the conductance and susceptance matrices, decision variables, and conservation of active power at each node. Different relaxations such as Semidefinite Relaxation and Second-Order Cone Programming are discussed to solve the highly nonconvex QCQP problem efficiently.

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
eiusmod elit
Dolore tempor aliqua nostrud ut ut. Nostrud magna laborum minim sit nostrud. In duis nisi velit fugiat excepteur ut ullamco sunt aliqua elit. Quis nostrud consectetur anim labore occaecat. Labore sunt anim ipsum cillum magna pariatur anim ullamco exercitation mollit excepteur. Proident id deserunt occaecat qui occaecat magna adipisicing in dolore excepteur reprehenderit.
Login to see this section
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related lectures (31)
Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Initial BFS
Explores finding the initial Basic Feasible Solution (BFS) in a linear program.
Thermodynamic Properties: Equations and Models
Explains thermodynamic properties, equations of state, and mixture rules for energy systems modeling.
Approximation Algorithms
Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.
Optimisation in Energy Systems
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Show more

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.