基于粒子群算法的燃煤发电系统储能容量估计方法  

Energy Storage Capacity Estimation Method of Coal-fired Power Generation System Based on Particle Swarm Algorithm

作　　者：魏翠萍[1] WEI Cuiping(Software College,Shangqiu Polytecnic,Shangqiu 476000,China)

机构地区：[1]商丘职业技术学院软件学院,河南商丘476000

出　　处：《工业加热》2023年第2期32-36,共5页Industrial Heating

基　　金：国家自然科学基金资助项目(16081906)。

摘　　要：考虑到传统方法在估计燃煤发电系统储能容量时存在较大误差的问题,提出基于粒子群算法的燃煤发电系统储能容量估计方法。利用迭代推进法更新发电系统的离线参数,基于递推最小二乘法设计离线参数识别流程,识别到发电系统的离线参数,通过建立发电储能容量优化配置的目标函数,给出优化的约束条件,根据粒子群算法的优化求解步骤,优化配置燃煤发电储能容量,结合燃煤发电储能容量估计模型的构建,实现燃煤发电储能容量估计。仿真分析结果表明,基于粒子群算法的燃煤发电系统储能容量估计方法可减小发电储能容量估计误差,提高估计值的准确性。Considering the large error of traditional methods in estimating the energy storage capacity of coal-fired power generation systems,a method for estimating energy storage capacity of coal-fired power generation systems based on particle swarm algorithm is proposed.The offline parameters of the power generation system are updated by the iterative advancement method,the offline parameter identification process is designed based on the recursive least squares method,and the offline parameters of the power generation system are identified.According to the optimization solution steps of the particle swarm algorithm,the energy storage capacity of coal-fired power generation is optimally configured,combined with the construction of the estimation model of the energy storage capacity of coal-fired power generation,to realize the estimation of the energy storage capacity of coal-fired power generation.The simulation analysis results show that the energy storage capacity estimation method of coal-fired power generation system based on particle swarm algorithm can reduce the estimation error of power generation energy storage capacity and improve the accuracy of the estimated value.

关 键 词：粒子群算法 储能容量 容量估计 发电系统 优化配置 

分 类 号：TM732[电气工程—电力系统及自动化]