基于DHP算法的集中供热系统热源优化控制  

Optimization Control of Heat Source for Central Heating System Based on Dual Heuristic Programming

作　　者：李琦[1] 唐巍 LI Qi TANG Wei(College of Information Engineering, University of Science and Technology of Inner Mongol, Baotou 014000, China)

机构地区：[1]内蒙古科技大学信息工程学院,内蒙古包头014000

出　　处：《控制工程》2017年第10期2016-2021,共6页Control Engineering of China

基　　金：国家自然科学基金(61463040)

摘　　要：集中供热系统是1个复杂的多输入多输出系统,具有非线性、强耦合、时变和大滞后等特点,采用经典控制理论和现代控制理论很难在保证供热质量的前提下,实现节能、减排的优化控制目标。自适应动态规划(ADP)是人工智能和控制学科发展交汇的新方法,提出了解决大规模复杂非线性系统优化控制问题的方法。在分析集中供热系统运行机理的基础上,建立热源总热量生产优化问题的数学描述,利用双启发式动态规划(DHP)算法和质量并调的控制策略求解,获得热源供水流量和供水温度的优化设定值。仿真结果表明,此方法可以实现热源处总热量生产问题的优化控制,并能求出其相应的供水温度和供水流量的最优控制量,达到供需匹配和节能降耗的目的。The district heating system is a complex multiple input multiple output system, which has the characteristics of nonlinearity, strong coupling, time variation and large delay. It is difficult to achieve the optimal control goal of energy-saving and emission reduction using the classical control theory and modern theory, under the premise of guaranteeing the heating quality. Adaptive dynamic programming（ADP） is a new approach of developing intersection between artificial intelligence and control subject, which is proposed to solve the large scale and complicated nonlinear system optimal control problem. Based on the detailed analysis of the district heating system operating mechanism, we establish a mathematical description of the total heat production optimization problem of the heating source, and solve it using the DHP theory and an operating strategy called ＂quality-quantity＂. The simulation results show that, this method can make the optimal control of the total heat production problem come true, and it can get the optimal value of the supply water temperature and the supply water flow and achieve the purpose of matching the heat supply and the heat demand, saving energy and reducing consumption.

关 键 词：自适应动态规划 双启发式动态规划 集中供热系统 热源 优化控制 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]