冷热电联供系统多目标运行优化（英文）  

Multi-objective operation optimization of combined cooling, heating, and power system

作　　者：张立志 孙波[1] 张承慧[1] 李帆 ZHANG Li-zhi;SUN Boy;ZHANG Cheng-hui;LI Fan(School of Control Science and Engineering, Shandong University, Jinan Shandong 250061, China)

机构地区：[1]山东大学控制科学与工程学院,山东济南250061

出　　处：《控制理论与应用》2019年第3期473-482,共10页Control Theory & Applications

基　　金：Supported by the National Natural Science Foundation of China(61733010,61320106011,61573224);the Young Scholars Program of Shandong University(2016WLJH29)

摘　　要：冷热电联供系统能够提高能源利用率和减少碳排放,是解决能源和环境危机的重要途径.本文提出了冷热电联供系统多目标优化运行方法,以运行成本日节约率、一次能源日节约率、CO2日减排率综合最优为目标,利用遗传算法求解,得到关键设备的逐时出力计划,并以此为基础,设计了由MATLAB和LABVIEW构成的运行优化器.最后本文基于TRNSYS与LABVIEW搭建了冷热电联供系统(CCHP)软硬件混合实时仿真系统,验证了运行优化器的有效性,结果表明本文提出的优化运行方法较传统运行模式,可有效提高冷热电联供系统的经济性、节能性和环保性.Combined cooling, heating, and power (CCHP) systems can improve energy efficiency and reduce carbon emissions and have become one of the important ways to address the energy and environmental crisis.In this paper, a multiobjective operation optimization method for a CCHP system is presented. The optimization objective is to maximize the operation cost-saving ratio (OCSR), energy-saving ratio (ESR), and carbon dioxide emission reduction ratio (CERR) of the CCHP system compared to a separate production system. A genetic algorithm (GA) is used to solve the optimal operation problem of the CCHP system. An operation optimizer composed of MATLAB and LABVIEW is designed based on the optimal operation strategy. A CCHP hardware and software hybrid real-time simulation system based on TRNSYS and LABVIEW is designed to verify the effectiveness of the operation optimizer. The results indicate that the multi-objective optimization yields improved economic and environmental benefits, as well as high energy efficiency, compared to the traditional mode.

关 键 词：冷热电联供 多目标优化 遗传算法 运行优化器 实时仿真 

分 类 号：TM732[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]