Understanding Effects of Data Quality on Market Functions

Project Status: 

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?


Related Publications

Jia, Liyan, Jinsub Kim, Robert J Thomas, and Lang Tong. "Impact of Data Quality on Real-Time Locational Marginal Price." IEEE Transactions on Power Systems 29.2 (2014) 627 - 636.
Munoz-Alvarez, Daniel, and Lang Tong. "Mitigating risk of random resources within a two-settlement electricity market." 2013 IEEE Power & Energy Society (PES) General Meeting. Vancouver, BC: IEEE, 2013. 1 - 5.
Kim, Jinsub, and Lang Tong. "On Topology Attack of a Smart Grid: Undetectable Attacks and Countermeasures." IEEE Journal on Selected Areas in Communications 31.7 (2013) 1294 - 1305.
Jia, Liyan, Robert J Thomas, and Lang Tong. "Impacts of Malicious Data on Real-Time Price of Electricity Market Operations." 2012 45th Hawaii International Conference on System Sciences (HICSS). Maui, HI, USA: IEEE, 2012. 1907 - 1914.
Jia, Liyan, Robert J Thomas, and Lang Tong. "On the nonlinearity effects on malicious data attack on power system." 2012 IEEE Power & Energy Society (PES) General Meeting. San Diego, CA: IEEE, 2012. 1 - 8.