Multicarrier Microgrid Operation Model Using Stochastic Mixed Integer Linear Programming

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Hasan Mehrjerdi (Author) Other; Reza Hemmati (Author) Other; Sajad Mahdavi (Author) Other; Miadreza Shafie-Khah (Author) Other; João P. S. Catalão (Author) FEUP

Journal

Title: IEEE Transactions on Industrial Informatics

Vol. 18

Pages: 4674-4687

ISSN: 1551-3203

Publisher: IEEE

Indexing

ISI Web of Knowledge - 7 Citations

Scopus - 15 Citations

Other information

Authenticus ID: P-00W-EEP

DOI: 10.1109/tii.2021.3121333

Abstract (EN): The microgrid operation is addressed in this article based on a multicarrier energy hub. Natural gas, electricity, heating, cooling, hydrogen, carbon dioxide, and renewable energies are considered as the energy carriers. The designed microgrid optimizes and utilizes a wide range of resources at the same time including renewables, electrical storage, hybrid storage, heating-cooling storage, electric vehicles (EVs) charging station, power to gas unit, combined cooling-heating-power, and carbon capture-storage. The purpose is to reduce the environmental pollutions and operating costs. The resilience and flexibility of the energy hub is also improved. Vehicle to grid and fully-partial charge models are incorporated for EVs to improve the system resilience and supplying the critical loads following events. Different events are modeled to evaluate the system resilience. The model is expressed as a stochastic mixed integer linear programming problem. Both active and reactive powers are modeled. The microgrid is simulated under four different cases. The results show that the multitype energy storages reduce the annual cost of energy while the integrated charging station can decrease the load shedding.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14