基于遗传算法的热水ORC发电系统优化设计

The Optimization Design of Hot Water Organic Rankine Cycle Power Generation System Based on Genetic Algorithm

介绍了遗传算法的基本理论,详细描述了以低温热水为热源的有机朗肯循环余热发电系统的热力过程,以系统净发电量最大为优化目标,利用谢菲尔德遗传算法工具箱在Matlab中编写优化计算程序对系统进行优化,得到了较为理想的优化结果,也为解决其他工程优化问题提供了一种更加有效的方法。

The basic theory of genetic algorithm was firstly introduced, and the heating process of Organic Rankine Cycle waste heat power generation system for low-temperature hot water was described in this paper. With the net power output maximum as optimization objective, the optimization program was written in Matlab using the Sheffield genetic algorithm toolbox, and a more ideal optimized result was obtained. The case provides a more effective method for solving other engineering optimization problems.