基于粒子群自调节的水力发电机组运行负荷动态分配研究  

Dynamic Load Distribution of Power Supply Unit Based on Particle Swarm Self-regulation Algorithm

作　　者：张家治 杜云华[1] 雷凤玲 孙钢 ZHANG Jia-zhi;DU Yun-hua;LEI Feng-ling;SUN Gang(China Yangtze Power Co.,Ltd.,Yichang 443000 China)

机构地区：[1]中国长江电力股份有限公司,湖北宜昌443000

出　　处：《自动化技术与应用》2024年第10期43-46,85,共5页Techniques of Automation and Applications

基　　金：2021年长江电力科技项目(2221020007)。

摘　　要：为了优化资源配置,提高水力供电综合效益,研究基于粒子群自调节算法的水力发电机组运行负荷动态分配。通过水力发电机组负荷变化能耗曲线拟合,了解与建立水力发电耗水量与负荷变化之间的关系;建立机组负荷经济分配数学决策模型,以水力发电耗水最低为目标函数,设置各项约束条件,修正发电机组目标期望值;基于粒子群自调节算法实现对当前发电机组运行负荷动态分配的求解。经实验分析,所提方法动态负荷分配后的负荷率较高,耗水量大大减少,有效提高了发电机组运行的经济性,满足动态负荷分配要求。In order to optimize the resource allocation and improve the comprehensive benefit of hydropower supply,the dynamic load distri-bution of hydropower units based on particle swarm optimization algorithm is studied.The relationship between water consump-tion of hydropower generation and load change is understood and established by fitting the energy consumption curve of load change of hydropower units;The mathematical decision-making model of unit load economic allocation is established,and the minimum water consumption of hydropower generation is taken as the objective function,and various constraints are set to modi-fy the target expectation value of the generator unit;Based on particle swarm optimization(PSO)algorithm,the dynamic load dis-tribution of current generating units is solved.Through experimental analysis,the load rate after dynamic load distribution in this method is higher,and the water consumption is greatly reduced.Which effectively improves the economy of generator unit opera-tion and meets the requirements of dynamic load distribution.

关 键 词：粒子群自调节算法 发电机组 能耗曲线 负荷动态分配 机组爬坡速率 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TM621[自动化与计算机技术—控制科学与工程]