Journal article
Trading Strategies for Distribution Company with Stochastic Distributed Energy Resources
Department of Electrical Engineering, Technical University of Denmark1
Center for Electric Power and Energy, Centers, Technical University of Denmark2
Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark3
Argonne National Laboratory4
Norwegian University of Science and Technology5
Southern Methodist University6
This paper proposes a methodology to address the trading strategies of a proactive distribution company (PDISCO) engaged in the transmission-level (TL) markets. A one-leader multi-follower bilevel model is presented to formulate the gaming framework between the PDISCO and markets. The lower-level (LL) problems include the TL day-ahead market and scenario-based real-time markets, respectively with the objectives of maximizing social welfare and minimizing operation cost.
The upper-level (UL) problem is to maximize the PDISCO's prot across these markets. The PDISCO's strategic oers/bids interactively in uence the outcomes of each market. Since the LL problems are linear and convex, while the UL problem is non-linear and non-convex, an equivalent primal-dual approach is used to reformulate this bilevel model to a solvable mathematical program with equilibrium constraints (MPEC).
The effectiveness of the proposed model is veried by case studies.
| Language: | English |
|---|---|
| Year: | 2016 |
| Pages: | 625-635 |
| ISSN: | 18729118 and 03062619 |
| Types: | Journal article |
| DOI: | 10.1016/j.apenergy.2016.05.143 |
| ORCIDs: | Zhang, Chunyu , Wang, Qi , Pinson, Pierre and Østergaard, Jacob |
