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基于遗传蚂蚁混合算法的热网阻力特性辨识
引用本文:周志刚,邹平华,谈和平,王继滨.基于遗传蚂蚁混合算法的热网阻力特性辨识[J].哈尔滨工业大学学报,2008,40(11):1761-1765.
作者姓名:周志刚  邹平华  谈和平  王继滨
作者单位:[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
基金项目:国家自然科学基金 , 国家重点科技攻关计划  
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.

关 键 词:供热管网  辨识  阻力特性  遗传算法  蚂蚁算法

Identification of resistance coefficient for heat-supply network based on GASCAA algorithm
ZHOU Zhi-gang,ZOU Ping-hua,TAN He-ping,WANG Ji-bin.Identification of resistance coefficient for heat-supply network based on GASCAA algorithm[J].Journal of Harbin Institute of Technology,2008,40(11):1761-1765.
Authors:ZHOU Zhi-gang  ZOU Ping-hua  TAN He-ping  WANG Ji-bin
Affiliation:1.School of Energy Science and Engineering,Harbin Institute of Technology,Harbin 150001,China;2.School of Municipal and Environmental Engineering,Harbin Institute of Technology,Harbin 150090,China;3.Qinhuangdao Economic and Technical Development Zone Motive-Power Company,Qinhuangdao 066004,China)
Abstract: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 result 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.
Keywords:heat-supply networks  identification  resistance coefficient  GA  AA
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