Title :
The inherent inefficiency of the point-to-point congestion revenue right auction
Author :
Deng, Shi-Jie ; Oren, Shmuel ; Meliopoulos, Sakis
Author_Institution :
Sch. of ISyE, Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Empirical evidence shows that the clearing prices for point-to-point congestion revenue rights, also known as financial transmission rights (FTRs), resulting from centralized auctions conducted by independent system operators differ significantly and systematically from the realized congestion revenues that determine the accrued payoffs of these rights. The question addressed by this paper is whether such deviations are due to price discovery errors which will eventually vanish or due to inherent inefficiencies in the auction structure. We address this question by studying a hypothetical DC-flow approximation model of a six-node system with known outage probabilities of each element and known statistical demand variability. We show that even with perfect foresight of average congestion rents the clearing prices for the FTRs depend on the bid quantity and therefore may not be priced correctly in the financial transmission right (FTR) auction. In particular, we demonstrate that if all FTR bid quantities are equal to the corresponding average transaction volumes and the bid values are set at the expected congestion rent level, then the resulting auction prices systematically deviate from the known FTR values. We conclude that price discovery alone would not remedy the discrepancy between the auction prices and the realized values of the FTRs. Secondary markets or frequent reconfiguration auctions are necessary in order to achieve such convergence.
Keywords :
power transmission economics; statistical analysis; DC-flow approximation model; average transaction volume; expected congestion rent level; financial transmission rights; point-to-point congestion revenue right auction; price discovery errors; statistical demand variability; Convergence; Forward contracts; ISO; Instruments; Power engineering and energy; Power generation economics; Power systems; Pricing; Probability; Risk management;
Conference_Titel :
System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on
Print_ISBN :
0-7695-2056-1
DOI :
10.1109/HICSS.2004.1265168