Trading strategy for decentralized energy resources in sequential electricity markets: A Swiss case study
| Autor: | Gabriela Hug, Evaggelos G. Kardakos, Xuejiao Han |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Decentralized energy resources (DER)
electricity markets mathematical programs with equilibrium constraints price maker probabilistic constraints business.industry Total revenue computer.software_genre Stochastic programming News aggregator Microeconomics Distributed generation Market price Electricity market Trading strategy business computer Risk management |
| Zdroj: | 2017 IEEE Innovative Smart Grid Technologies-Asia (ISGT-Asia) |
| Popis: | This paper derives optimal day-ahead trading strategies for an aggregator of a decentralized energy resources' mix, who participates in a multi-market environment, including a day-ahead, an intraday and a balancing market. The optimization problem is solved using multi-stage stochastic programming, which is subject to different levels of uncertainties such as variable generation output, day-ahead and intraday market prices. Risk management is conducted to investigate the effect of risk exposure on the total revenue of the aggregator. A case study based on the data from the Swiss electricity market demonstrates the effectiveness of the proposed model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|