As more renewable resources are integrated into the transmission system, and the power system operates closer to its capacity, congestion conditions become less predictable and locational marginal prices more volatile. The increased congestion and price uncertainties pose significant challenges to system operators and market participants.
This project focused on data quality on the real-time market operations of a power system. In particular, the project addressed the following pertinent issues: (i) in the presence of bad data, to what degree that real-time locational marginal prices are affected? (ii) What are the worst scenarios of bad data that have the most significant impact on real-time prices of electricity? (iii) What are the effects of analog and digital forms of bad data? (iv) What are the potential risks on market operations from cyber data attacks?