摘要
常规热电联产电机集群运行优化,主要采用优化电机电路损耗方法,忽略了电机转子参数的影响,导致优化结果的定子铜耗值较高。因此,提出基于负荷需求和强化学习的热电联产电机集群运行优化方法。解析电机的[火用]流和能流关系、分析热电联产电机的分配能耗状态、基于电价分析负荷需求值、修正电机转子的内外径比例参数和径向间隙参数,由此根据线性关系求解电机集群的转子转速参数,代入强化学习,寻优输出最佳状态参数,以此实现其运行优化过程。实验结果表明:所提方法应用后得出的运行优化结果表现出的定子铜耗值较低,优化效果较好,满足了热电联产电机的实际应用需求。
The conventional optimization of the operation of cogeneration motor clusters mainly adopts the method of optimizing motor circuit losses,ignoring the influence of motor rotor parameters,resulting in higher stator copper consumption values in the optimization results.Therefore,a cluster operation optimization method for cogeneration motors based on load demand and reinforcement learning is proposed.Analyze the energy flow and energy flow relationship of the electric motor,analyze the distribution energy consumption status of the cogeneration motor,based on the electricity price analysis of the load demand value,correct the inner and outer diameter ratio parameters and radial clearance parameters of the motor rotor,and then solve the rotor speed parameters of the motor cluster based on the linear relationship.Substitute reinforcement learning to optimize the output of the optimal state parameters,in order to achieve its operation optimization process.The experimental results show that the operation optimization results obtained after the application of the proposed method exhibit lower stator copper consumption values and better optimization effects,meeting the practical application requirements of cogeneration motors.
作者
孟金英
杨娟香
MENG Jinying;YANG Juanxiang(Shanxi Installation Group Co.,Ltd.,Taiyuan 030032,China)
出处
《区域供热》
2024年第3期152-158,共7页
District Heating
关键词
热电联产
电机集群
电机集群运行
负荷需求
强化学习
运行优化
cogeneration
motor cluster
motor cluster operation
load demand
reinforcement learning
operational optimization
