期刊
ENERGY
卷 224, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2021.120099
关键词
Distributed energy network; Optimization; Structural design; Benders decomposition; Dantzig-wolfe decomposition; Mixed-integer linear programming
The translated paragraph introduces a near-optimal solution method for solving a large-scale design problem by combining multiple energy-supply systems into a distributed energy network. Through hierarchical combination of variables and constraint-based decompositions, the original design problem is decomposed into upper-level design problem and lower-level coordinated operation problem, resulting in a near-optimal solution.
A near-optimal solution method of a large-scale design problem of a distributed energy network, consisting of multiple energy-supply systems under power and heat interchanges, is developed by hierarchically combining variable-and constraint-based decompositions. The design problem is formulated using mixed-integer linear programming, and its scale increases with the number of connected energy supply systems and daily patterns of energy demand. By focusing on the hierarchical relationship between design and operation variables, the original problem is decomposed into an upper-level design problem and lower-level coordinated operation problems based on the Benders decomposition. By focusing on power-and heat-interchange constraints, the coordinated operation problem is further decomposed into a master problem concerning power and heat interchanges and subproblems for energy supply in each energy-supply system based on the Dantzig-Wolfe decomposition. A near-optimal solution is calculated through a two-level iterative calculation, consisting of delayed constraint generation between the design problem and the coordinated operation problems and delayed column generation between the master problem and the subproblems in each coordinated operation problem. The near-optimal solution method is applied to the structural design problem of distributed energy networks incorporating 5e100 cogeneration systems, in which suboptimal solutions cannot be found in the conventional solution method. ? 2021 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据