考虑供热系统储能热惯性的热电联产机组协同控制策略

Coordinated control of cogeneration unit based on model-free adaptive

热电联产机组能有效提高电厂能源利用率,降低碳排放,优化热电负荷在机组内的分配方式能有效降低电厂能耗,提升电厂承担电网调频任务的能力。为提升热电联产机组调频能力,满足快速响应AGC指令需求,以某电厂330MW机组为建模对象,以动态响应AGC指令时间更短为优化目标,热网系统和汽轮机发电系统的时滞差为约束条件,提出一种基于蚁群算法优化热电负荷在机组内的分配方式,用Matlab软件进行建模仿真。结果表明,对于单台机组,随着AGC响应需求的增大,基于蚁群算法的协同控制能加快AGC响应速率,在实现机组供热系统储能充分利用的同时,提高了机组的负荷响应能力。

CHP units can effectively improve the energy use rate of power plants,reducing carbon emissions.Optimizing how the heat and power load is distributed within the unit can effectively reduce energy consumption,and can improve the power plant to undertake the power network frequency modulation task ability.The ascension capability meet the demand of fast response AGC command,using the unit of 330MW as a search subject.The AGC dynamic control model is to optimize the target in a shorter time considering different delay times,which are the heat supply system and the steam turbine electricity production system as the constraint condition.Using ant colony algorithm based on Matlab software to optimize the distribution of thermal load in the unit.The results show that for a single unit,with increased CMP response demand,cooperative control based on the ant colony algorithm may accelerate the CMP response rate,realizing the full utilization of energy storage of unit heating system,and improve the load response capacity of unit.