HVAC冷站分散式节能优化

发布时间：2018-06-23 17:09

本文选题：暖通空调系统 + 节能　；参考：《清华大学学报(自然科学版)》2014年12期

【摘要】：优化采暖通风与空调(HVAC)系统的控制策略有助于满足人们对舒适度的要求,同时降低HVAC系统能耗。该文建立了HVAC冷站系统优化问题的数学模型以求得使系统能耗最低的控制量设定值。该优化问题具有非凸、强耦合、包含离散和连续决策变量等特性。该文提出了一种分散式优化方法,将系统的每个设备作为一个子系统并基于与邻居子系统通信所得信息确定自身的控制变量的取值。测试结果表明:通过从邻居子系统获得的有限信息,每个子系统都能获得原优化问题的最优控制变量设定值。该方法不需要系统的全局信息,对于HVAC冷站系统的优化具有较大应用价值。
[Abstract]:Optimizing the control strategy of heating ventilation and air conditioning (HVAC) system is helpful to meet the requirement of comfort and reduce the energy consumption of HVAC system. In this paper, the mathematical model of HVAC cooling station system optimization problem is established to obtain the minimum energy consumption of the system. The optimization problem is nonconvex, strongly coupled and contains discrete and continuous decision variables. In this paper, a decentralized optimization method is proposed, in which each device of the system is regarded as a subsystem and the value of its own control variables is determined based on the information obtained by communicating with the neighbor subsystem. The test results show that each subsystem can obtain the optimal control variable set value of the original optimization problem by obtaining the finite information from the neighbor subsystem. This method does not need the global information of the system and has great application value for the optimization of HVAC cold station system.
【作者单位】：清华大学自动化系;
【基金】：国家自然科学基金重点项目(U1301254)
【分类号】：TU83

【共引文献】