【摘要】 针对我国目前电网的调度模式,提出了在自动发电控制(AGC)方式下的厂级负荷优化分配系统实现方案,该方案不改变电厂原有网络结构,直接在厂级监控信息系统中增加负荷控制节点,这样既不改变控制系统原有的各项功能,又使厂级负荷控制的投切比较灵活,大大增强了系统的稳定性。在优化算法上提出了遗传禁忌混合算法,以某电厂的3台机组为例,采用2008年负荷数据进行优化分配,并与实际分配进行对比,结果表明采用该算法进行优化分配后煤耗率下降了0.2g/(kW.h)～5.3g/(kW.h),对电厂节能降耗,提高经济效益有重要意义。更多还原

【Abstract】 According to the current power grid dispatching mode in our country,this paper proposes a plant-level optimal load distribution strategy in automatic generation control(AGC) direction.This scheme doesn’t change the previous network structure of the power plant,but increase directly load control node in the plant-level supervisory information system,which doesn’t change the original function of control system,furthermore makes the on-off of plant-level load control more flexible and improves the stability of the system.A genetic-tabu search hybrid algorithm is proposed.Take a 3-unit system for example,the load data in 2008 is alloted with the proposed algorithim.The results are compared with the practical allocation and demonstrate that coal consumption rate decreases by 0.2g/(kW· h)~5.3g/(kW· h) by adopting the proposed algorithm,which is of great importance to energy conservation and consumption reduction and economic benefits improvement.更多还原