IGDT Opportunity Method in the Trading Framework of Risk-Seeker Demand Response Aggregators

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Morteza Vahid-Ghavidel (Author) Other; João P. S. Catalão (Author) FEUP; Miadreza Shafie-khah (Author) Other; Sahar Seyyedeh Barhagh (Author) Other; Behnam Mohammadi-Ivatloo (Author) Other

Conference proceedings International

Title: 2019 IEEE Milan PowerTech

Pages: 1-6

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 6 Citations

Other information

Authenticus ID: P-00R-38N

DOI: 10.1109/ptc.2019.8810601

Abstract (EN): In this study, a non-probabilistic program is proposed to a trading framework for demand response (DR) aggregators. Both sides of the aggregator, including upper side and down side of this entity, have been taken into account. In the down-side of the aggregator, two popular programs are considered such as reward-based program and time-of-use (TOU) program, where DR is obtained from these resources. The acquired DR is being sold to the purchasers in the other side of the aggregator through DR options and fixed DR contracts. To the aim of increasing the desired target profit of risk-seeker aggregator, an opportunity function of information-gap decision theory (IGDT) is used to handle the uncertainty, which is solved in General Algebraic Modeling System (GAMS) software. This model is implemented in a realistic case study.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6