Picture of flying drone

Award-winning sensor signal processing research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers involved in award-winning research into technology for detecting drones. - but also other internationally significant research from within the Department of Electronic & Electrical Engineering.

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

An empirical method of dynamic oligopoly behaviour analysis in electricity market

Liu, J.D. and Lie, T.T. and Lo, K.L. (2006) An empirical method of dynamic oligopoly behaviour analysis in electricity market. IEEE Transactions on Power Systems, 21 (2). pp. 499-504. ISSN 0885-8950

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

Evidence of market power existing in the electricity markets has been empirically revealed, but the understanding of the market structure and generation companies' (GENCOs') strategic behaviors underlying the market power is far from satisfactory. This paper presents a theory and method for estimating the conjectural variations of GENCOs. Based on these estimates of conjectural variations in an actual electricity market, an empirical methodology is also proposed to analyze the dynamic oligopoly behaviors underlying market power. This is not only useful for system regulators to analyze the market structure but also to recognize and control the market power accordingly. The Australia National Electricity Market is used as the simulation case to test the proposed method.