智能压流网在电站仿真机中的应用  

Intelligent Fluid Network Application in the Power Plant Simulator

作　　者：焦嵩鸣[1] 赵云[1] 卢海松[1] 

机构地区：[1]华北电力大学河北省发电过程仿真与优化控制重点实验室,河北保定071003

出　　处：《计算机仿真》2013年第10期171-174,共4页Computer Simulation

摘　　要：压流网在电站仿真机建模中有着比压力节点更好的效果,但是实际应用中其需要修改的参数很多且不易确定使得调试过程极其繁琐且效果不佳。为解决上述问题,应用粒子群优化算法对压流网算法代码进行优化,使其可以在一定的导纳取值范围内自动搜索到最合适的导纳值,使得仿真模型的建立更加便利和精确。实验结果表明,智能压流网算法可以快速正确的寻求到最优导纳值且达到仿真需求。Fluid Network has better stabilization than pressure points in power plant modeling, but it is difficult to obtain appropriate parameters and better computational results. An intelligent Fluid Network was introduced in this paper, which was coupled with Particle Swarm Optimization and can get the most appropriate admittance in a certain range of values, which gives us great help in the processes of simulator design. Application results show that simula- tion requirements can be achieved by this algorithm and optimization algorithm can find appropriate admittance quick- ly and easily.

关 键 词：智能压流网 电站仿真机 粒子群优化算法 

分 类 号：O8[理学]