Research

Electricity Market Equilibrium Under Information Asymmetry

Abstract

We study a competitive electricity market equilibrium with two trading stages, day-ahead and real-time. The welfare of each market agent is exposed to uncertainty (here from renewable energy production), while agent information on the probability distribution of this uncertainty is not identical at the day-ahead stage. We show a high sensitivity of the equilibrium solution to the level of information asymmetry and demonstrate economic, operational, and computational value for the system stemming from potential information sharing.

Info

Journal Article, 2019

UN SDG Classification
DK Main Research Area

    Science/Technology

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