Abstract-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.Index Terms-Decentralized energy resources (DER), electricity markets, mathematical programs with equilibrium constraints, price maker, probabilistic constraints.
I. INTRODUCTION A. Motivation and GoalThe spot electricity market is a public financial market where electricity is traded on a short-term basis. It is organized as a sequence of markets, generally including a day-ahead (DA) market, several intraday (ID) markets and a balancing market (BM). In parallel, ancillary services markets are required to guarantee the secure operation of the grid in case of serious system contingencies. The spot market is gaining more and more importance, since it ensures the short-term optimization of procurement and supports the efficient integration of non-dispatchable energy resources in power markets. In recent years, the penetration of distributed energy resources (DERs), which are mainly renewable energy resources, has increased dramatically. However, DERs' participation in the market is still challenging due to the restrictions imposed by market regulations, their intermittent and uncertain nature and the lack of communication and cooperation among different DERs and system operators. These factors thus limit DERs' contributions to system operations and can cause high imbalance costs and low overall energy efficiency.In order to fully utilize the value of flexibility potential of different DERs and enable them to engage in sequential electricity markets, coordinated dispatch and trading strategies at an aggregation level are of great interest.
B. Related Works and ContributionsA lot of work has been done in the field of optimal trading in sequential short-term markets, but most of them focuses on a single producer's point of view and on designing optimal trading strategies either for large-scale wind power plants or for wind producers coordinated only with energy storage