免疫算法在水电站日前现货市场优化调度中的应用

The immune algorithm and its application in short-term scheduling of hydro plant

免疫起源于抗感染的研究,是一种机体识别和排斥抗原性异物的生理功能。现代仿生技术将免疫应用到解决非线性优化问题中,用抗体代表问题的可行解,抗原代表问题的约束条件和目标函数,采用期望繁殖率来定义父体选择的概率,形成了独特的免疫算法。本文将其应用到水电站日前现货市场优化调度的研究中,经过对紫坪铺水电站的优化计算,认为其结果是合理和可实际应用的。

Immunity derives from the research of anti-infection, which is a basic physiology that the organism recognizes antigenicity and rejects them. Modem bionics technologies use immunity to solve nonlinear programming problems with representing feasible solutions by antibodies, constrains and objective function by antigen, and with selection probabilities defined by anticipant productive rate, which form particular immune algorithm. It is used for the research of short-term scheduling of hydro plant. According to the results of application by Zipingpu hydro plant, the immune algorithm is confirmed.