基于遗传蚂蚁混合算法的热网阻力特性辨识  

Identification of resistance coefficient for heat-supply network based on GASCAA algorithm

作　　者：周志刚[1] 邹平华[2] 谈和平[1] 王继滨[3] 

机构地区：[1]哈尔滨工业大学能源科学与工程学院,哈尔滨150001 [2]哈尔滨工业大学市政环境工程学院,哈尔滨150090 [3]秦皇岛经济技术开发区动力公司,秦皇岛066004

出　　处：《哈尔滨工业大学学报》2008年第11期1761-1765,共5页Journal of Harbin Institute of Technology

基　　金：国家自然科学基金资助项目(50378029);国家"十五"重点科技攻关计划资助项目(2002BA107B05)

摘　　要：为提高热网仿真计算、故障诊断等理论的实用性,提出了一种基于遗传蚂蚁混合算法(GASCAA)的供热管网阻力特性辨识方法.该方法在辨识模型中引入空间网水力工况计算方法,并采用新型混合优化算法GASCAA求解,有效地提高了辨识方法的计算性能,增强了其解决实际工程问题的能力.实例验证表明,该方法的辨识精度在10%之内,可以满足实际工程的需要,对热网的运行调度具有一定的指导意义.To improve the practicability of simulation and the fault diagnosis theory, we put forward a kind of identification method for resistance coefficient of heat-supply network based on GASCAA Algorithm. By introducing the hydraulic method of space heat-supply networks and a new mixing algorithm （ GASCAA）, the computing efficiency and practicability of the identification method were improved. Verified by an example, the resuit proves that the identification precision of the proposed method is within 10%, which can meet the requirement of practical application and provides some instructions to the dispatch of heat-supply network.

关 键 词：供热管网 辨识 阻力特性 遗传算法 蚂蚁算法 

分 类 号：TU995.3[建筑科学—供热、供燃气、通风及空调工程]