Electricity Trade Patterns in a Network
Using high-frequency trade volume and price data in a transmission network we investigate patterns of trade and its impacts in the market price formation process. In particular, we study the Ontario wholesale electricity market and its trade with multiple interconnected markets, including New York, Michigan, and Minnesota, through 13 interconnections. This research has regulatory implications on integration of electricity markets, and possible investments in transmission and production capacity. The main findings are in order: (a) imports are unambiguously related to prices (significant Granger causality), while exports are not; (b) trade mainly occurs due to the market price differentials between the markets and traders can use past price observation to take trade positions before the markets clear; (c) there is a high degree of integration across the markets in the network, where the speed of convergence of cross prices is almost instantaneous.
KeywordsElectricity trade Transmission network Electricity prices Event study Non-linear Granger causality Ontario, New York, Michigan, Manitoba, Quebec wholesale electricity markets
The first author is corresponding author who acknowledges financial support from the Social Sciences and Humanities Research Council of Canada, and can be reached at <email@example.com>.
- 5.Serletis A, Dormaar P (2007) Imports, exports, and prices in Alberta’s deregulated power market (Chapter 10). In: Serletis A (ed) Quantitative and empirical analysis of energy markets. World Scientific Publishing, SingaporeGoogle Scholar
- 6.Aydemir A, Genc TS (2013) Power trade, welfare and air quality. Working paper. University of Guelph, Guelph, ONGoogle Scholar
- 7.IESO (2009) Overview of the IESO-administered markets. IESO, Toronto, ONGoogle Scholar
- 8.IESO (2009) IESO, 18-month outlook update – tables, released Nov 17. IESO, Toronto, ONGoogle Scholar
- 9.Statistics Canada (2009) Electric power generation, transmission and distribution, 57-202-X. Statistics Canada, Ottawa, ONGoogle Scholar
- 10.IESO (2009) IESO, Ontario transmission system, IESO_REP_0265v150, Aug 21. IESO, Toronto, ONGoogle Scholar
- 11.IESO (2009) IESO, the power system. IESO, Toronto, ON, http://www.ieso.ca/imoweb/siteShared/power_system.asp Google Scholar
- 13.Baldick R, Hogan W (2002) Stability of supply function equilibria: implications for daily versus hourly bids in a poolco market. Proceedings of the seventh annual POWER research conference. University of California Energy Institute, Berkeley, CAGoogle Scholar
- 18.Hiemstra C, Jones JD (1994) Testing for linear and nonlinear granger causality in the stock price-volume relation. J Fin 49:1639–1664Google Scholar
- 19.Baek E, Brock W (1992) A general test for granger causality: bivariate model. Technical report. Iowa State University, Ames, IAGoogle Scholar
- 20.Diks C, Panchenko V (2005) A new statistic and practical guidelines for nonparametric granger testing. J Econ Dynam Control 1647–1669Google Scholar