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

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.