Optimal Scheduling of a Virtual Power Plant with Demand Response in Short-Term Electricity Market

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Homa Rashidizadeh-Kermani (Author) Other; Mostafa Vahedipour-Dahraie (Author) Other; Miadreza Shafie-khah (Author) Other; Gerardo J. Osório (Author) Other; João P. S. Catalão (Author) FEUP

Conference proceedings International

Title: 20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020 - Proceedings

Pages: 599-604

20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020

15 June 2020 through 18 June 2020

Indexing

Scopus - 2 Citations

INSPEC

Other information

Authenticus ID: P-00S-K50

DOI: 10.1109/melecon48756.2020.9140502

Abstract (EN): This paper presents an optimal bidding and offering strategy for a virtual power plant (VPP), which participates in day-ahead (DA) and balancing markets. The VPP comprises distributed energy resources, plug-in electric vehicles (PEVs) and flexible demands. The objective of the problem is maximizing the VPP's profit while demand response (DR) providers who aggregated the loads try to supply the required demand under their jurisdiction with minimum costs. The proposed optimization problem is formulated as a bi-level stochastic scheduling programming to address uncertainties in DA and balancing electricity prices, renewable energy source's (RES) and DR relationship. Simulation results demonstrate the applicability and effectiveness of the proposed model to any real markets. Also, numerical results show that the flexibility of responsive loads and PEVs can improve the VPP operator's energy management and increase its expected profit. © 2020 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6