Energy markets
Trading renewables, and designing markets for an uncertain, renewable-based power system
Electricity markets were designed for controllable power plants. With large shares of wind and solar power, both how producers trade and how markets are organised need to account for uncertainty.
My work on energy markets follows two threads. The first is how renewable energy producers and other participants should trade, using probabilistic forecasts and decision-making under uncertainty. The second is how markets themselves should be designed and cleared, from stochastic market-clearing and coordination between electricity, gas and heat markets, to peer-to-peer and community-based markets.
Trading wind energy with probabilistic forecasts
A wind farm must commit to its production a day ahead, before knowing the weather. Any deviation is settled in the balancing market, usually at a penalty. If falling short is penalised more than producing too much, the best offer is below the expected production, and the other way round. With a probabilistic forecast, the optimal offer is a specific quantile of the predictive distribution, set by the ratio of the two penalties. This is the classic newsvendor problem, and the insight behind our 2007 paper on trading wind generation.
Main contributions
Trading strategies. Offering strategies for renewable producers based on probabilistic forecasts, extended to price-maker producers, wind-storage systems, energy and reserve markets, online decision-making and distributionally robust strategies.
Market design and clearing. Stochastic market-clearing that dispatches renewables while accounting for their uncertainty, with attention to revenue adequacy and cost recovery, as well as new market products and conic market formulations.
Coordination between markets. Integrated and coordinated markets for electricity, natural gas and heat, and coordination across regions and between transmission and distribution levels.
Consumer-centric markets. Peer-to-peer and community-based electricity markets, including the design of energy collectives, product differentiation, and fair allocation of grid costs.
Key papers
- Trading wind generation with short-term probabilistic forecasts of wind power
- Pool strategy of a price-maker wind power producer
- Distributionally robust trading strategies for renewable energy producers
- Electricity market clearing with improved dispatch of stochastic producers
- Stochastic market design with revenue adequacy and cost recovery by scenario: benefits and costs
- An integrated market for electricity and natural gas systems with stochastic power producers
- Peer-to-peer and community-driven markets: a comprehensive review
- Energy Collectives: a community and fairness based approach to future electricity markets
- What may future electricity markets look like?