Multi-Time Optimization Scheduling Strategy for Integrated Energy Systems Considering Multiple Controllable Loads and Carbon Capture Plants

Zhe Han, Zehua Li, Wenbo Wang, Wei Liu, Qiang Ma, Sidong Sun, Haiyang Liu, Qiang Zhang () and Yue Cao
Additional contact information
Zhe Han: Inner Mongolia Huomei Hongjun Aluminum and Electricity Co., Ltd., Holingol 029200, China
Zehua Li: Inner Mongolia Huomei Hongjun Aluminum and Electricity Co., Ltd., Holingol 029200, China
Wenbo Wang: Inner Mongolia Huomei Hongjun Aluminum and Electricity Co., Ltd., Holingol 029200, China
Wei Liu: Inner Mongolia Huomei Hongjun Aluminum and Electricity Co., Ltd., Holingol 029200, China
Qiang Ma: Inner Mongolia Huomei Hongjun Aluminum and Electricity Co., Ltd., Holingol 029200, China
Sidong Sun: Inner Mongolia Huomei Hongjun Aluminum and Electricity Co., Ltd., Holingol 029200, China
Haiyang Liu: Inner Mongolia Huomei Hongjun Aluminum and Electricity Co., Ltd., Holingol 029200, China
Qiang Zhang: Shanghai Power Equipment Research Institute Co., Ltd., Shanghai 200240, China
Yue Cao: Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China

Energies, 2024, vol. 17, issue 23, 1-18

Abstract: In response to the dual carbon targets, it is necessary not only to reduce carbon emissions but also to increase the proportion of renewable energy generation capacity, thereby exacerbating the scarcity of flexible resources in the power system. Addressing these challenges, this study proposes an operational optimization framework for an integrated energy system. This system encompasses wind/solar power plants, coal-fired power plants, carbon capture power plants, gas turbines, energy storage systems, and controllable loads, including reducible power loads, transferable power loads, electrolytic aluminum loads, transferable heat loads, and reducible loads. This study employs a system combining carbon capture plants with thermal power stations to supply flexible resources to the integrated energy system while reducing carbon emissions during the generation process of the thermal power units. A multi-timescale optimization scheduling approach is adopted to manage the uncertainties in wind, photovoltaic, and electric/thermal loads within the integrated energy system. The operational costs of the integrated energy system consider the capacity degradation costs of energy storage systems, the solvent degradation costs of carbon capture, and carbon costs. Finally, the cplex solver was used to solve the above model. The simulation results show that the consideration of five controllable loads leads to an increase of 7.22% in the interactive benefits with the power grid; the difference between the complete cost model and the incomplete overall benefits is 94.35%. It can be seen that the dispatching method proposed in this study can take advantage of the dispatching advantages of source-load adjustable resources and achieve the goal of low-carbon economic dispatching of the power system.

Keywords: renewable energy; carbon capture; controllable loads; multi-timescale scheduling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/23/5995/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/23/5995/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:23:p:5995-:d:1531911

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().