Next Article in Journal
Efficient Deployment of Dual Locomotives in Regional Freight Rail Transport
Previous Article in Journal
Methodology Presentation for the Configuration Optimization of Hybrid Electrical Energy Systems
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Energies
Volume 16
Issue 5
10.3390/en16052157
energies-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Scheduling Optimization of IEHS with Uncertainty of Wind Power and Operation Mode of CCP

by
Yuxing Liu
1,
Linjun Zeng
2,*,
Jie Zeng
3,
Zhenyi Yang
3,
Na Li
3 and
Yuxin Li
4
1
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
2
School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, China
3
State Grid Hunan Electric Power Corporation Limited Loudi Power Supply Company, Loudi 417000, China
4
Department of Electricity Supply Services, Changsha Electric Power Technical College, Changsha 410131, China
*
Author to whom correspondence should be addressed.
Energies 2023, 16(5), 2157; https://doi.org/10.3390/en16052157
Submission received: 30 December 2022 / Revised: 5 February 2023 / Accepted: 21 February 2023 / Published: 23 February 2023
(This article belongs to the Topic CO2 Capture and Renewable Energy)
Browse Figures
Versions Notes

Abstract

With the gradual depletion of fossil energy sources and the improvement in environmental protection attention, efficient use of energy and reduction in carbon emissions have become urgent issues. The integrated electricity and heating energy system (IEHS) is a significant solution to reduce the proportion of fossil fuel and carbon emissions. In this paper, a stochastic optimization model of the IEHS considering the uncertainty of wind power (WP) output and carbon capture power plants (CCPs) is proposed. The WP output in the IEHS is represented by stochastic scenarios, and the scenarios are reduced by fast scenario reduction to obtain typical scenarios. Then, the conventional thermal power plants are modified with CCPs, and the CCPs are equipped with flue gas bypass systems and solution storage to form the integrated and flexible operation mode of CCPs. Furthermore, based on the different load demand responses (DRs) in the IEHS, the optimization model of the IEHS with a CCP is constructed. Finally, the results show that with the proposed optimization model and shunt-type CCP, the integrated operation approach allows for a better reduction in carbon capture costs and carbon emissions.
Keywords: uncertainty; carbon capture power plant; integrated electricity and heating energy system; optimization uncertainty; carbon capture power plant; integrated electricity and heating energy system; optimization

Share and Cite

MDPI and ACS Style

Liu, Y.; Zeng, L.; Zeng, J.; Yang, Z.; Li, N.; Li, Y. Scheduling Optimization of IEHS with Uncertainty of Wind Power and Operation Mode of CCP. Energies 2023, 16, 2157. https://doi.org/10.3390/en16052157

AMA Style

Liu Y, Zeng L, Zeng J, Yang Z, Li N, Li Y. Scheduling Optimization of IEHS with Uncertainty of Wind Power and Operation Mode of CCP. Energies. 2023; 16(5):2157. https://doi.org/10.3390/en16052157

Chicago/Turabian Style

Liu, Yuxing, Linjun Zeng, Jie Zeng, Zhenyi Yang, Na Li, and Yuxin Li. 2023. "Scheduling Optimization of IEHS with Uncertainty of Wind Power and Operation Mode of CCP" Energies 16, no. 5: 2157. https://doi.org/10.3390/en16052157

APA Style

Liu, Y., Zeng, L., Zeng, J., Yang, Z., Li, N., & Li, Y. (2023). Scheduling Optimization of IEHS with Uncertainty of Wind Power and Operation Mode of CCP. Energies, 16(5), 2157. https://doi.org/10.3390/en16052157

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop