超驼峰工况下轴流泵站事故停泵防护方案寻优

针对带虹吸式出水流道的轴流泵站超驼峰工况下事故停泵防护问题,基于瞬变流基本理论,以闸门总关闭时间、闸门快关行程和快关时间为决策变量,以最大倒转转速、最大倒流流量、最大水锤压力和最小水锤压力为评估目标,建立多目标水锤防护措施优化模型,并采用混沌-粒子群算法进行求解.研究表明,相对于标准粒子群算法,混沌粒子群算法粒子多样性强、寻优能力高、算法稳定性好,有效提升了两阶段关闸水锤防护效果;多次寻优结果表明两阶段关闸中,第一阶段关闸速度和关闸角度对倒转转速、倒流流量等指标影响较大,而关闸规律和闸门流量系数对最大水锤压力影响较大;当泵站最大超驼峰水位小于2 m时,采用“14 s快关行程66%,104 s慢关行程34%”的策略可以有效防护事故停泵水锤.

Optimizing protection scheme for accident shutdown of axial flow pumping station under super hump conditions

Aiming at the problem of accidental pump stop protection under the over-hump condition of the axial flow pumping station with siphon outlet channel, based on the basic theory of transient flow, a multi-objective optimization model of water hammer protection measures is established with the total gate closing time, gate fast closing stroke and fast closing time as decision variables, and the maximum reverse speed, maximum reverse flow rate, maximum water hammer pressure and minimum water hammer pressure as evaluation objectives. And chaos particle swarm optimization algorithm is used to solve this model. The results show that, compared with the standard particle swarm optimization algorithm, the chaos particle swarm optimization algorithm has strong particle diversity, high optimization ability and good algorithm stability, which effectively improves the water hammer protection effect of two-stage gate closing; the results of multiple optimization show that in the two-stage gate closing, the first stage closing speed and angle have a greater impact on the reverse speed, reverse flow and other indicators, while the gate closing law and gate flow have a greater impact on the manimum water hammer pressure. When the maximum over-hump water level of the pump station is less than 2 m, the strategy of ″14 s fast closing stroke 66%, 104 s slow closing stroke 34%″ can effectively protect the water hammer from stopping the pump water hammer.