基于大数据技术的小水电机组负荷分配优化平台研究及应用

为提高水能利用率,解决小水电机组以最优效率为目标负荷分配问题,开发了一套基于大数据技术的小水电机组负荷优化分配平台。平台通过对基础数据和在线测量数据的分析,自动识别机组的状态条件、运行工况、稳定性能等情况。在此基础上,给出一种在线基于实时动态自校正的逐次迭代效率曲面拟合方法,解决大数据样本误差噪声引起的效率拟合误差以及机组的运行状态改变后效率变化引起的误差问题,实现了在线效率曲面的自动实时动态绘制。给出了基于机组综合稳定指标及临界振动区的小水电机组最优有功分配方法,解决了机组在最优有功分配负荷时机组的安全稳定运行问题,对多机组最优效率进行协调控制,最终实现小水电机组的节能增效。经工程实际应用,验证了技术的可行性。

Research and application of load optimal distribution platform for small hydropower units based on big data technology

In order to improve the utilization rate of water energy and solve the load distribution problem of small hydropower units with optimal efficiency as the objective,a set of load optimization allocation platform for small hydropower units based on big data technology is developed.Through the analysis of basic data and online measurement data,the platform can automatically identify the state conditions,operation conditions and stability performance of the unit.On this basis,an on-line iterative efficiency surface fitting method based on real-time dynamic self-tuning is proposed to solve the problem of efficiency fitting error caused by big data sample error noise and the error caused by efficiency change after unit operation state changes,and realizes automatic real-time dynamic rendering of online efficiency surface.This paper presents an optimal active power distribution method for small hydropower units based on the comprehensive stability index and critical vibration region.The method solves the problem of safe and stable operation of the unit when the unit is under the optimal active power distribution load,and realizes the coordinated control of multiple units according to the optimal efficiency.Finally,energy saving and efficiency increase of small hydropower units are realized.It is proved that the technology is feasible by practical application.