运筹与管理2018，Vol.27Issue(3)：25-31,49,8.DOI:10.12005/orms.2018.0056
基于随机规划的建筑集群冷热电联供系统优化研究
Optimization Research of Combined Cooling,Heating and Power System for Building Clusters Based on Stochastic Programming
摘要
Abstract
The design and optimal operation strategy of the combined cooling,heating and power(CCHP)system for building clusters is the significant way to reduce energy cost of the building.The stochastic factors,such as energy demand and energy price, cannot be ignored in this optimization problem.Considering that the energy need of the building is stochastic variable, the stochastic mixed integer programming model is established, in order to solve the optimization problem of CCHP system for building clusters with minimization of the buildings' total cost as objective.Furthermore, Benders multi-cut algorithm is proposed to solve the multi-objective programming model,which is aimed at finding the Pareto optimal decision of device configuration and running plan of CCHP system.Finally,the stochastic mixed integer programming model and Benders multi-cut algorithm are proved to be effective through experiment, and it is demonstrated that buildings have the less energy cost under collaborative strategy compared with non-cooperative strategy.关键词
随机变量/Benders多割平面/Pareto最优决策/协作模式Key words
stochastic variable/benders multi-cut/pareto optimal decision/collaborative strategy分类
管理科学引用本文复制引用
楚晓琳,杨东..基于随机规划的建筑集群冷热电联供系统优化研究[J].运筹与管理,2018,27(3):25-31,49,8.基金项目
国家自然科学基金资助项目(71371045) （71371045）
