Integrated framework for modeling the interactions of plug-in hybrid electric vehicles aggregators, parking lots and distributed generation facilities in electricity markets

• Type: Article in International Scientific Journal
• Date: 2023

Authors

Firouzi, M (Author) Other; Nazar, MS (Author) Other; Shafie-khah, M (Author) Other; Catalao, JPS (Author) FEUP

Journal

Title: Applied Energy

Vol. 334

ISSN: 0306-2619

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 4 Citations

Scopus

Other information

Authenticus ID: P-00X-TVR

DOI: 10.1016/j.apenergy.2023.120703

Abstract (EN): This paper presents an integrated framework for the optimal resilient scheduling of an active distribution system in the day-ahead and real-time markets considering aggregators, parking lots, distributed energy resources, and Plug-in Hybrid Electric Vehicles (PHEVs) interactions. The main contribution of this paper is that the impacts of traffic patterns on the available dispatchable active power of PHEVs in day-ahead and real-time markets are explored. A two stage framework is considered. Each stage consists of a four-level optimization procedure that optimizes the scheduling problems of PHEVs, parking lots and distributed energy resources, aggregators, and active distribution system. The distribution system procures ramp-up and ramp-down services for the upward electricity market in a real-time horizon. The active distribution system can utilize a switching procedure to sectionalize its system into a multi-microgrid system to mitigate the impacts of external shocks. The model was assessed by the 123-bus test system. The proposed algorithm reduced the interruption and operating costs of the 123-bus test system by about 94.56% for the worst-case external shock. Further, the traffic pattern decreased the available ramp-up and ramp-down of parking lots by about 58.61% concerning the no-traffic case.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 28