不确定性条件下冷热电联供系统两阶段随机鲁棒优化  

A Two-stage Stochastic Robust Optimization of the Combined Cooling,Heating and Power(CCHP)System Considering Uncertainties

作　　者：李尧[1] 刘杰杰 马雅楠[1] 秦若木 孟现阳[1] 吴江涛[1] LI Yao;LIU Jiejie;MA Yanan;QIN Ruomu;MENG Xianyang;WU Jiangtao(MOE Key Laboratory of Thermo-Fluid Science and Engineering,Xi'an Jiaotong University,Xi'an 710049,China)

机构地区：[1]西安交通大学热流科学与工程教育部重点实验室,西安710049

出　　处：《工程热物理学报》2024年第12期3653-3663,共11页Journal of Engineering Thermophysics

基　　金：陕西省自然科学基金资助项目(No.2024JC-YBMS-257)。

摘　　要：本文研究了冷热电联供系统的最优配置及运行问题,考虑不确定性因素的影响,建立一种两阶段随机鲁棒优化模型。在规划阶段,根据运行策略和各类场景,调整容量设计;在运行阶段,根据实际情况,确定设备出力。本文采用场景生成法、列和约束算法和KKT条件,对优化模型进行求解。以陕西西安地区某一工业园区为例,进行了实证分析。结果表明,不确定性因素对系统的投资成本、装机容量和运行策略均有明显影响,系统设计时需要权衡经济性与稳定性。本文为冷热电联供系统的规划与运行提供了一种有效的方法和参考。In this paper,the optimal configuration and operation of the combined cooling,heating and power system are studied.A two-stage stochastic robust optimization model is established considering the influence of uncertainties.In the planning stage,thc system adjusts the capacity design according to the operation strategy and various scenarios.In the operation stage,the system determines the equipment output according to the actual situation.In this paper,stochastic scenario generation method,column and constraint algorithm and KKT condition are used to solve the optimization model.Taking an industrial park in Xi'an of Shaanxi Province as an example,this paper makes an case study.The results show that the uncertainty factors have obvious effects on the investment cost,installed capacity and operation strategy of the system,and the economy and stability should be balanced in the design of the system.This paper provides an effective method and reference for the planning and operation of the combined cooling,heating and power supply system.

关 键 词：冷热电联供系统 不确定性条件 随机鲁棒优化 列和约束方法 

分 类 号：TK01[动力工程及工程热物理]