Bi‐level optimization of the integrated energy systems in the deregulated energy markets considering the prediction of uncertain parameters and price‐based demand response program-Reference-Cited by-同舟云学术

Bi‐level optimization of the integrated energy systems in the deregulated energy markets considering the prediction of uncertain parameters and price‐based demand response program

Published:2022-04-25 Issue:8 Volume:10 Page:2772-2793
ISSN:2050-0505
Container-title:Energy Science & Engineering
language:en
Short-container-title:Energy Science & Engineering

Author:

Toolabi Moghadam Ali¹,Soheyli Farideh²,Sanei Sareh³,Akbari Ehsan⁴,Khorramdel Hossein⁵,Ghadamyari Mojtaba⁶^ORCID

Affiliation:

1. School of Industrial and Information Engineering Polytechnic University of Milan Milan Italy

2. Department of Electrical Engineering Science and Research Branch Islamic Azad University Tehran Iran

3. Department of Electrical Engineering, Faculty Member Technical and Vocational University (TVU) Tehran Iran

4. Faculty of Electrical and Computer Engineering Mazandaran University of Science & Technology Babol Iran

5. Department of Electronics and Electrical Engineering Shiraz University of Technology Shiraz Iran

6. Department of Electrical Engineering Shahid Beheshti University Tehran Iran

Publisher

Wiley

Subject

General Energy,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.1166

Reference40 articles.

1. Techno‐economic optimization of a grid‐connected hybrid energy system considering electric and thermal load prediction

2. Electric Vehicle Routing Problem with Battery Swapping Considering Energy Consumption and Carbon Emissions

3. A Distributed MPC to Exploit Reactive Power V2G for Real-Time Voltage Regulation in Distribution Networks

4. A cost-emission framework for hub energy system under demand response program

5. A risk-based optimal self-scheduling of smart energy hub in the day-ahead and regulation markets

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