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Control Engineering

A Novel Flexible Method for Optimal Operation Modeling of Multi-Carrier Energy Systems

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Pages 2756-2764 | Published online: 13 Feb 2023
 

Abstract

This research suggests a new flexible method for the optimal operation of multi-carrier energy systems based on optimization techniques for different weather conditions and seasons. The results apply to different modes (a hot summer day, a cold winter day and a normal day). A new cost function from the operator’s point of view is suggested considering the constraints on consumable gas supply and electrical energy in the cold and hot seasons respectively. Furthermore, a novel algorithm is suggested that gives the economical values of energy carriers, final cost, and the percentage of the direct electrical energy supply and outside the hub. In this method, load data, related prices, constraints, and penalties are applied to the suggested model, and afterward hub optimization assists in finding the optimal operation and costs. MATLAB software is used to check the results and the simulation outputs confirming the effectiveness of the proposed method.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Gholamreza Raeisihasanhendoei

Gholamreza Raeisi Hasanhendoei graduated from Hakim Sabzevari University, Iran, in 2017, and received the BSc degree in power engineering. He was admitted to Shahid Beheshti University, Iran, in 2017. He obtained MSc degree in power engineering from Shahid Behesht University in 2019. He commenced PhD degree from 2020 at Shahid Beheshti University. Email: [email protected]

Ramin Fotouhi

Ramin Fotouhi graduated from Urmia University, Iran, in 2016 and received the BSc degree in electrical engineering. He was admitted to Shahid Beheshti University, Iran, in 2017. He obtained MSc degree in control engineering at Shahid Behesht University in 2019. Corresponding author. Email: [email protected]

Mohamad Naseri

Mohamad Naseri graduated from Kurdistan University, Iran, in 2013 and received the BSc degree in power engineering. He was admitted to Shahid Beheshti University, Iran, in 2017. He obtained MSc degree in power engineering at Shahid Behesht University in 2019. Email: [email protected]

Mahdi Pourgholi

Mahdi Pourgholi received BSc and MSc degrees in 2000 and 2003, respectively. He acquired PhD degree in the electrical engineering department, Tarbiat Modares University (TMU) in 2010, Tehran, Iran. He is currently an associate professor in Shahid Beheshti University, Tehran, Iran. Moreover, he is head of the control engineering department at Shahid Beheshti University. He has published about 60 refereed journal and conference papers. Email: [email protected]

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