| Issue |
E3S Web Conf.
Volume 648, 2025
International Conference on Civil, Environmental and Applied Sciences (ICCEAS 2025)
|
|
|---|---|---|
| Article Number | 03012 | |
| Number of page(s) | 11 | |
| Section | Applied Sciences | |
| DOI | https://doi.org/10.1051/e3sconf/202564803012 | |
| Published online | 08 September 2025 | |
Enhancing Renewable Energy Penetration with Combined Heat and Power Units and Cryogenic Energy Storage
1 Department of Safety and Fire Engineering, K.S.R. College of Engineering, Tiruchengode 637215, Tamil Nadu, India
2 Department of Robotics and Automation, Rajalakshmi Engineering College, Chennai 602105, Tamil Nadu, India
3 Department of Mechatronics Engineering, Velammal Institute of Technology, Chennai 601204, Tamil Nadu, India
4 Department of Mechanical Engineering, Vinayaka Mission’s Kirupananda Variyar Engineering College, Salem 636308, Tamil Nadu, India
5 Department of Mechanical Engineering, Sona College of Technology, Salem 636005, Tamil Nadu, India
6 Department of Automobile Engineering, Rajalakshmi Engineering College, Chennai 602105, Tamil Nadu, India
* Corresponding Author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The increasing use of Renewable Energy Sources (RES) has raised the demand for coordinated scheduling due to economic and environmental considerations. Combined Heat and Power (CHP) generation units can protect the system from fluctuations in renewable energy sources due to their high efficiency and quick reaction capabilities. This research proposes to optimize the scheduling of cryogenic energy storage (CES) arbitrage to handle operational problems related to RES by maximizing owner benefits and minimizing RES variability. In order to modify the load profile of the system through changes in user consumption patterns, the proposed model makes use of plug-in electric automobiles as responsible loads. To solve this problem, we use the dominated group search optimization technique on a second-order cone programming model. Four distinct case research were conducted to confirm the suitability and efficacy of the suggested method.
Key words: Energy Arbitrage / Cryogenic Energy Storage (CES) / Renewable Energy Sources (RES) / Microgrid (MG) / Plug-in Electric Vehicles (PEV)
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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