Dynamic Incentives for Optimal Control of Competitive Power Systems
Abstract
This work presents a real-time dynamic pricing framework for future electricity markets. Deduced by first-principles analysis of physical, economic, and communication constraints within the power system, the proposed feedback control mechanism ensures both closed-loop system stability and economic efficiency at any given time. The resulting price signals are able to incentivize competitive market participants to eliminate spatio-temporal shortages in power supply quickly and purposively.
Keywords
Strommarkt; Dynamische Optimierung; Spieltheorie; Nichtlinearer Reglerentwurf; Mathematische Modellbildung; Electricity Market; Dynamic Optimization; Game Theory; Nonlinear Control; Mathematical ModelingDOI
10.5445/KSP/1000147941ISBN
9783731512097Publisher
KIT Scientific PublishingPublisher website
https://www.ksp.kit.edu/index.php?link=shop&sort=allPublication date and place
2022Series
Karlsruher Beiträge zur Regelungs- und Steuerungstechnik, 17Classification
Electrical engineering