Back to Search
Start Over
Bi-level robust planning of hydrogen energy system for integrated electricity–heat–hydrogen energy system considering multimode utilization of hydrogen.
- Source :
-
Energy . Sep2024, Vol. 303, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- This paper proposes a bi-level robust planning model to address the rational configuration of a hydrogen energy system, accounting for the impact of wind power uncertainty in an integrated electricity–heat–hydrogen energy system (IEHHES) with the increasing wind power penetration. The upper-level problem aims to determine the capacity of the hydrogen energy system in this system, whereas the lower-level problem is formulated as a two-stage robust optimization model to simulate the typical daily operational scheme of the system, considering uncertain wind turbine output and the on/off switching of devices. This model considers multiple hydrogen utilization modes and the physical characteristics of various hydrogen storage tanks. The complex bi-level robust model is intractable directly. Therefore, this bi-level robust planning model is initially decomposed into planning and operation subproblems. These subproblems are then can be solved in parallel using the alternating direction method of multipliers (ADMM) algorithm; the planning subproblem, a quadratic programming model, is solved using a commercial solver; the operating subproblem, a two-stage robust optimization model, is solved using the column and constraint generation algorithm. Finally, case studies validate the advantages and effectiveness of the developed model and algorithm. • A novel bi-level robust model is proposed to plan the hydrogen energy system for IEHHES. • A method for solving a bi-level robust model based on ADMM and C&CG algorithm is proposed. • A two-stage robust lower-level model considering wind power uncertainty is proposed. • Multimode utilization of hydrogen and hydrogen physical characteristics is considered. • Test results validate the advantages and effectiveness of the developed model and method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03605442
- Volume :
- 303
- Database :
- Academic Search Index
- Journal :
- Energy
- Publication Type :
- Academic Journal
- Accession number :
- 177907121
- Full Text :
- https://doi.org/10.1016/j.energy.2024.132029