基于遗传算法的热电厂负荷优化计算方法

Genetic Algorithm for Thermal Power Generating Unit Load Optimal Distribution

供热机组待优化的变量多,传统的负荷优化方法虽然各具优点,但它们共同的无法解决的困难是当问题规模扩大,变量和约束条件很多时,会很容易陷入局部最优,而使数值稳定性降低,最终导致收敛困难。本文利用遗传算法良好的非线性映射能力,以某热电厂为例,介绍了应用遗传算法建立热电厂负荷优化模型的方法,并将其成功应用于该热电厂的负荷优化。

This paper constructs the genetic algorithm of distribution of heat and power load which is important part of heat economics diagnosis on co-generating unit in view of co-generating unit traits, overcoming the difficulties in using conservative optimal method and making the calculating result more and more reasonable.