Multi-Level Dependent-Chance Model for Hydropower Reservoir Operations

Xinyu Wu, Xilong Cheng, Meng Zhao, Chuntian Cheng and Qilin Ying
Additional contact information
Xinyu Wu: Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China
Xilong Cheng: Yunhe (Henan) Information Technology Co., Ltd., Zhengzhou 450008, China
Meng Zhao: Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China
Chuntian Cheng: Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China
Qilin Ying: State Grid Luyuan Hydropower Company, Dandong 118000, China

Energies, 2022, vol. 15, issue 13, 1-15

Abstract: Some hydropower reservoirs are operated under different constraint levels. For these reservoirs, a multi-level (ML) dependent-chance (DC) model is established. In the model, only when the higher-level constraints are satisfied are the lower-level constraints or system benefits considered. The multi-level dependent-chance (MLDC) model is specified by two models. One is based on existing reliability-constrained (RC) dynamic programming (DP), in which the soft constraints are addressed using reliability constraints of 1, and the priorities are reflected using the order of magnitudes of Lagrange multipliers. The other is the explicit dependent-chance reasoning in the DP recursive function, in which each soft constraint is represented as an objective function of negative expected failure time and the optimum is the solution with a larger value for all higher-level objective functions. The proposed models are applied to derive long-term operation rules for the hydropower system on the middle-lower Lancang River. The results show the feasibility and performances of the explicit graded constraint control of the proposed model and the solution methods.

Keywords: hydropower; operation; SDP; multi-level dependent-chance model (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/13/4899/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/13/4899/ (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:15:y:2022:i:13:p:4899-:d:855721

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 ().