The increasing use of demand-side management as a tool to reliably meet electricity demand at peak time has stimulated interest among researchers, consumers and producer organizations, managers, regulators and policymakers, This research reviews the growing literature on models used to study...

We propose a novel method to find Nash equilibria in games with binary decision variables by including compensation payments and incentive-compatibility constraints from non-cooperative game theory directly into an optimization framework in lieu of using first order conditions of a...

The parameterisation of energy and climate policies often depends on the technology, which is price-setting in electricity markets. We propose two simple approaches to determine marginal technologies in electricity wholesale from available data. Both approaches are complementary, computationally...

We study the use of fi nancial contracts as bid-coordinating device in multi-unit uniform price auctions. Coordination is required whenever firms face a volunteer's dilemma in pricing strategies: one firm (the "volunteer") is needed to increase the market clearing price. Volunteering, however,...

The paper at hand examines the power system costs when a coal tax or a fixed bonus for renewables is combined with CO2 emissions trading. It explicitly accounts for the interaction between the power and the gas market and identifies three cost effects: First, a tax and a subsidy both cause...

In this paper we introduce the dynamic semiparametric factor model (DSFM) for electricity forward curves. The biggest advantage of our approach is that it not only leads to smooth, seasonal forward curves extracted from exchange traded futures and forward electricity contracts, but also to a...

DSM (demand-side management) merits increased attention by power system modelers. Numerical models should incorporate DSM constraints in a complete and consistent way. Otherwise, flawed DSM patterns and distorted conclusions on the system benefits of demand-side management are inevitable....

We build a system dynamics model to evaluate the potential dynamics of consumer adoption of Smart Energy Behaviour. Within this term we include different levels of: i) shift in electricity consumption towards less costly-less polluting and congestioning hours; ii) the reduction of mainly...

It is expected that the renewable share of energy generation will rise considerably in the near future. The intermittent and uncertain nature of renewable energy (RE) calls for storage and grid management technologies that can allow for increased power system flexibility. To assist policy makers...

Power systems based on renewable energy sources (RES) are characterised by increasingly distributed, volatile and uncertain supply leading to growing requirements for flexibility. In this paper, we explore the role of demand response (DR) as a source of flexibility that is considered to become...