A Two-Stage Planning Optimization Study of an Integrated Energy System Considering Uncertainty

Lijun Tang, Xiaolong Gou, Junyu Liang, Yang Yang, Xingyu Yuan, Jiaquan Yang, Yuting Yan, Dada Wang, Yongli Wang, Xin Chen, Bo Yuan and Siyi Tao
Additional contact information
Lijun Tang: School of Energy and Power Engineering, Chongqing University, Chongqing 400044, China
Xiaolong Gou: School of Energy and Power Engineering, Chongqing University, Chongqing 400044, China
Junyu Liang: Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China
Yang Yang: Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China
Xingyu Yuan: Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China
Jiaquan Yang: Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China
Yuting Yan: Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China
Dada Wang: Electric Power Research Institute, Yunnan Electric Power Grid Co., Ltd., Kunming 650217, China
Yongli Wang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Xin Chen: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Bo Yuan: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Siyi Tao: School of Economics and Management, North China Electric Power University, Beijing 102206, China

Sustainability, 2022, vol. 14, issue 6, 1-22

Abstract: In the context of a rapidly evolving integrated energy system (IES), taking into account the uncertainty of the renewable energy output can make integrated energy system planning more realistic. In view of this, this paper proposes an integrated energy system planning approach that takes uncertainty into account. Firstly, in order to accurately describe the renewable energy output scenarios, this paper describes the IES model and introduces the scenario analysis methods used. Secondly, an integrated energy system equipment output model is constructed, the corresponding constraints and objective functions are set, an improved particle swarm-ant colony optimization algorithm is used for the solution, and a planning solution strategy considering uncertainty is proposed. Finally, the above conclusions are verified by the actual case data of a park, and the results show that the method proposed in this paper is economical and reasonable.

Keywords: integrated energy system; uncertainty; planning optimization; scenario analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/6/3645/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/6/3645/ (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:jsusta:v:14:y:2022:i:6:p:3645-:d:775447

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

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