摘要
针对“比例-积分-微分”(PID)控制经验参数调节水电机组频率波动中,需多次试数以满足响应指数、电量贡献指数、响应时间的问题,提出了应用粒子群优化算法,优化PID控制参数,提升一次调频控制性能。通过实测分析表明,相对于传统PID控制参数,优化后PID参数较好地满足了机组各项考核指标,为机组并网运行提供技术支持。
Adjusting the frequency fluctuation of hydropower unit for the empirical parameter of"proportional-integral-derivative"( PID) control,need multiple trials to meet the problem of response index,power contribution index,and response time,the particle swarm optimization algorithm is applied to optimize the PID control parameters and improve the performance of the primary FM control. The results show that compared to the traditional PID control parameters,the optimized PID parameters better meet the evaluation indexes of the unit and provide technical support for the unit’s grid-connected operation.
作者
程礼彬
薛延刚
CHENG Libin;XUE Yangang
出处
《青海电力》
2019年第3期27-30,共4页
Qinghai Electric Power
关键词
水电厂
ID参数
粒子群寻优
一次调频
hydraulic power plant
ID parameter
particle swarm optimization
primary frequency modulation
