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Reza Hemmati

Reza Hemmati

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: Faculty ofٍٍ Electrical Engineering
Address: Imam Khomeini Highway, Kermanshah, Iran, Postal Code: 6715685420
Phone: 083-38305001

Research

Title
Multicarrier Microgrid Operation Model Using Stochastic Mixed Integer Linear Programming
Type
JournalPaper
Keywords
Microgrid Operation; Mixed Integer Linear Programming
Year
2022
Journal IEEE Transactions on Industrial Informatics
DOI
Researchers Hasan Mehrjerdi ، Reza Hemmati ، sajad mahdai kian ، Miadreza Shafie-khah ، Joao Catalao

Abstract

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.