REVEALING ADDITIONAL INFORMATION ABOUT ELECTRICITY MARKET UNDERLYING POWER SYSTEM USING POWER SYSTEM PRINCIPLES AND PUBLISHED MARKET RESULTS

Abstract

In this dissertation we provide a novel estimation framework designed and structured on duality theory for estimation of some key parameters in electricity markets. Specifically, the framework uses financial transmission right (FTR) auction outcomes such as clearing prices and quantities to estimate implicit parameters of the underlying optimization problem such as power transfer distribution factors (PTDF) without the need to know the auction bid/offers. The application of the proposed framework is not limited to electricity markets and can be used in any optimization problem with similar characteristics. We show successful estimation of parameters by simulating the proposed method on small systems and on a large power system extracted from actual US eastern interconnection network model. We also provide discussion on special estimation cases and proposed methods to address them, and future works to improve the algorithm and applicability of the framework.