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A Distributionally Robust Optimization Scheduling Model for Regional Integrated Energy Systems Considering Hot Dry Rock Co-Generation

Hao Qi1, Mohamed Sharaf2, Andres Annuk3, Adrian Ilinca4, Mohamed A. Mohamed5,*

1 College of Electrical and New Energy, China Three Gorges University, Yichang, 443002, China
2 Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh, 11421, Saudi Arabia
3 Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, 51006, Estonia
4 Department of Mechanical Engineering, École de Technologie Supérieure, Montréal, QC H3C 1K3, Canada
5 Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, 61519, Egypt

* Corresponding Author: Mohamed A. Mohamed. Email: email

Computer Modeling in Engineering & Sciences 2024, 140(2), 1387-1404. https://doi.org/10.32604/cmes.2024.048672

Abstract

Hot dry rock (HDR) is rich in reserve, widely distributed, green, low-carbon, and has broad development potential and prospects. In this paper, a distributionally robust optimization (DRO) scheduling model for a regionally integrated energy system (RIES) considering HDR co-generation is proposed. First, the HDR-enhanced geothermal system (HDR-EGS) is introduced into the RIES. HDR-EGS realizes the thermoelectric decoupling of combined heat and power (CHP) through coordinated operation with the regional power grid and the regional heat grid, which enhances the system wind power (WP) feed-in space. Secondly, peak-hour loads are shifted using price demand response guidance in the context of time-of-day pricing. Finally, the optimization objective is established to minimize the total cost in the RIES scheduling cycle and construct a DRO scheduling model for RIES with HDR-EGS. By simulating a real small-scale RIES, the results show that HDR-EGS can effectively promote WP consumption and reduce the operating cost of the system.

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APA Style
Qi, H., Sharaf, M., Annuk, A., Ilinca, A., Mohamed, M.A. (2024). A distributionally robust optimization scheduling model for regional integrated energy systems considering hot dry rock co-generation. Computer Modeling in Engineering & Sciences, 140(2), 1387-1404. https://doi.org/10.32604/cmes.2024.048672
Vancouver Style
Qi H, Sharaf M, Annuk A, Ilinca A, Mohamed MA. A distributionally robust optimization scheduling model for regional integrated energy systems considering hot dry rock co-generation. Comput Model Eng Sci. 2024;140(2):1387-1404 https://doi.org/10.32604/cmes.2024.048672
IEEE Style
H. Qi, M. Sharaf, A. Annuk, A. Ilinca, and M.A. Mohamed "A Distributionally Robust Optimization Scheduling Model for Regional Integrated Energy Systems Considering Hot Dry Rock Co-Generation," Comput. Model. Eng. Sci., vol. 140, no. 2, pp. 1387-1404. 2024. https://doi.org/10.32604/cmes.2024.048672



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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