基于DHP算法的集中供热系统热源优化控制
发布时间：2018-09-08 16:50
【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。
[Abstract]:The central heating system is a complex multi-input and multi-output system, which has the characteristics of nonlinear, strong coupling, time-varying and large delay. It is difficult to realize energy saving by using classical control theory and modern control theory under the premise of ensuring the heating quality. Optimal control targets for emission reduction. Adaptive dynamic programming (ADP) is a new method for the development of artificial intelligence and control. Based on the analysis of the operation mechanism of the central heating system, the mathematical description of the optimization problem of the total heat production of the heat source is established, and the solution of the optimization problem is solved by using the double heuristic dynamic programming (DHP) algorithm and the quality adjustment control strategy. The optimal setting values of heat supply flow and water temperature are obtained. The simulation results show that this method can realize the optimal control of the total heat production problem in the heat source, and the optimal control quantity of the corresponding water supply temperature and water flow can be obtained, and the purpose of matching supply and demand and saving energy and reducing consumption can be achieved.
【作者单位】： 内蒙古科技大学信息工程学院;
【基金】：国家自然科学基金(61463040)
【分类号】：O221.3;O232;TU833
，
本文编号：2231109
[Abstract]:The central heating system is a complex multi-input and multi-output system, which has the characteristics of nonlinear, strong coupling, time-varying and large delay. It is difficult to realize energy saving by using classical control theory and modern control theory under the premise of ensuring the heating quality. Optimal control targets for emission reduction. Adaptive dynamic programming (ADP) is a new method for the development of artificial intelligence and control. Based on the analysis of the operation mechanism of the central heating system, the mathematical description of the optimization problem of the total heat production of the heat source is established, and the solution of the optimization problem is solved by using the double heuristic dynamic programming (DHP) algorithm and the quality adjustment control strategy. The optimal setting values of heat supply flow and water temperature are obtained. The simulation results show that this method can realize the optimal control of the total heat production problem in the heat source, and the optimal control quantity of the corresponding water supply temperature and water flow can be obtained, and the purpose of matching supply and demand and saving energy and reducing consumption can be achieved.
【作者单位】： 内蒙古科技大学信息工程学院;
【基金】：国家自然科学基金(61463040)
【分类号】：O221.3;O232;TU833
，
本文编号：2231109
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