ZHOU Lanxin, LI Fei, FU Wenfeng, et al. PSO-based collaborative optimization of regenerative heating system for a PWR nuclear power plant[J]. Thermal power generation, 2014, 43(9): 5-11.
ZHOU Lanxin, LI Fei, FU Wenfeng, et al. PSO-based collaborative optimization of regenerative heating system for a PWR nuclear power plant[J]. Thermal power generation, 2014, 43(9): 5-11.DOI:
基于粒子群算法的压水堆核电机组回热系统优化
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。
Abstract
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.