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为提高基于智能算法的供热管网故障诊断模型的实用性,提出了一种基于双向递推的枝状供热管网阻抗辨识方法。该方法在辨识模型中对常规枝状供热管网模型进行了改进,增加了热力站进出口压力测点节点;基于实际中可测得的压力、流量数据,通过水力工况组合的形式求解辨识方程组,从正向及反向进行管网阻抗递推辨识;将双向递推结果求平均作为阻抗辨识值以减小辨识误差。通过算例验证了该方法的实用性,只通过较少的水力工况即可达到较小的辨识误差。
In order to improve the practicality of fault diagnosis model of heating pipe network based on intelligent algorithm, a bidirectional heating pipe network impedance identification method based on bidirectional recursion is proposed. In the identification model, this method improves the conventional branch heating pipe network model and adds pressure measuring points at the inlet and outlet points of the thermal power station. Based on the actual measurable pressure and flow data, the method is solved by the combination of hydraulic conditions Identify the system of equations, recursive identification of pipe network impedance from forward and reverse direction; averaging two-way recursion results as impedance identification value to reduce identification error. An example is given to verify the practicability of this method. Only a small number of hydraulic conditions can achieve a smaller identification error.