Search

Begin New Search
Proceed to Checkout

Search Results for All:
(Showing results 1 to 3 of 3)



Model-Based Comparisons of Pool and Bilateral Markets for Electricity

John Bower and Derek W. Bunn

Year: 2000
Volume: Volume21
Number: Number 3
DOI: 10.5547/ISSN0195-6574-EJ-Vol21-No3-1
View Abstract

Abstract:
A variety of market mechanisms have been proposed and implemented around the world in order to create competitive electricity pools and exchanges. However, it is an open question whether pool-based daily auctions or continuous bilateral trading deliver different prices under conditions of market power. In this paper we present a computationally intensive simulation model of the wholesale electricity market in England and Wales to isolate and systematically test the potential impact of alternative trading arrangements on electricity prices. After eight years of trading under a pool-based system, proposals were initiated in 1998 to change the market in England and Wales to bilateral trading. This paper uses an agent-based simulation to evaluate two important aspects of that proposal. The results show that daily bidding with Pay SMP settlement, as in the original Pool day-ahead market, produces the lowest prices while hourly bidding with Pay Bid settlement, as proposed for the bilateral model, producesthe highest prices.



Investment Propensities under Carbon Policy Uncertainty

Janne Kettunen, Derek W. Bunn and William Blyth

Year: 2011
Volume: Volume 32
Number: Number 1
DOI: 10.5547/ISSN0195-6574-EJ-Vol32-No1-4
View Abstract

Abstract:
Whether companies invest in new power facilities at a particular point in time, or delay, depends upon the perceived evolution of uncertainties and the investors' attitudes to risk and return. With additional risks emerging through climate change mitigation mechanisms, the propensity to invest may increasingly depend upon how each technology and company is exposed to carbon price uncertainty. We approach this by estimating the cumulative probabilities of investment over time in various technologies as a function of behavioral, policy, financial and market assumptions. Using a multistage stochastic optimization model with exogenous uncertainty in carbon price, we demonstrate that detailed financial analysis with real options and risk constraints can make substantial difference to the investment propensities compared to conventional economic analysis. Further, we show that the effects of different carbon policies and market instruments on these decision propensities depend on the characteristics of the companies and may induce market structure evolution.



Statistical Arbitrage and Information Flow in an Electricity Balancing Market

Derek W. Bunn and Stefan O.E. Kermer

Year: 2021
Volume: Volume 42
Number: Number 5
DOI: 10.5547/01956574.42.5.dbun
View Abstract

Abstract:
Motivated by the events following a natural experiment in 2015, when the market rules for electricity spot trading were changed in Britain, we analyse the operational effects of market participants responding to price incentives for spillage and shortage positions in a single price, real-time market. We develop an analytical model for optimal real-time decisions by generators and speculators based upon forecasts of the conditional distribution of the total system imbalance between instantaneous supply and demand. From this, we examine the effects of time delays in information transparency for the consequent statistical arbitrage positions. We backtested this model empirically to the Austrian system imbalance settlements process within the German/Austrian integrated market. Results suggest that permitting additional intraday flexibility from a physical generator or a non-physical trader can be beneficial for the agents themselves, the system operator and market efficiency.





Begin New Search
Proceed to Checkout

 

© 2020 International Association for Energy Economics | Privacy Policy | Return Policy