基于粒子群算法的压水堆核电机组回热系统优化  

PSO-based collaborative optimization of regenerative heating system for a PWR nuclear power plant

作　　者：周兰欣[1] 李飞[1] 付文锋[1] 王庆五[1] 

机构地区：[1]华北电力大学电站设备状态监测与控制教育部重点实验室,河北保定071003

出　　处：《热力发电》2014年第9期5-11,共7页Thermal Power Generation

基　　金：中央高校基本科研业务费专项资金(12QN38);中央高校基本科研业务费专项资金资助(2014MS109)

摘　　要：针对核电机组二回路系统的特点,经过推导构造了通用型核电机组热经济性计算框架。据此,选择循环热效率作为优化目标,抽汽压力作为优化变量,建立了通用型核电机组回热系统优化模型。以某压水堆核电900MW机组为例,将自适应权重粒子群(AWPSO)算法应用于核电二回路给水回热分配优化。计算结果表明,该算法具有良好的收敛性和搜索性,其优化结果优于传统方法和原设计方案,为压水堆核电机组二回路回热系统优化设计提供了一种便捷的方法。According to characteristics of the secondary loop system of nuclear power units,a universal heat economic calculation framework for pressurized-water reactor（PWR）nuclear power plant heat regenerative system was established,based on theoretical deduction.On this basis,by selecting the cycle thermal efficiency as the optimization goal and the extraction steam pressures as the optimization variables,a universal nuclear power unit regenerative system optimization model was established.Taking a 900 MW nuclear power unit as the example,adaptive weighed particle swarm optimization（AWPSO）was applied to solve the feed-water heating allocation problem in nuclear power units for the first time.The calculation result demonstrates that,the PSO has great convergence ability and search performance,and is superior to other methods and the original design scheme.This paper provides a new and convenient design for PWR nuclear power plant heat regenerative systems.

关 键 词：压水堆 核电机组 核电二回路 回热系统 给水回热分配 AWPSO算法 

分 类 号：TK284.1[动力工程及工程热物理—动力机械及工程]