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非电费成本对并联泵站流量分配的影响规律研究

Research on the Influence of Non-electricity Water Transfer Cost on the Flow Distribution of Parallel Pump Stations

  • 摘要: 泵站应用广泛、耗能巨大,并联泵站是泵站的一种常见布置形式,开展并联泵站最优流量分配方案研究对泵站运行节能降耗意义重大。但目前研究中主要考虑了提水电费等电费成本,针对非电费成本的考虑不足。综合考虑电费成本与其他非电费成本,采用动态规划方法构建了考虑非电费成本的并联泵站站间流量最优分配模型,并以南水北调东线工程睢宁枢纽(含沙集站与睢宁二站并联运行,其中沙集站需支付非电费成本)为例开展了实例研究。应用结果表明:(1)非电费成本占比较低时对流量优化方案无影响,在非电费成本占比达到65%的阈值后对分配方案具有较强的导向作用;(2)当非电费成本占比较低时,机组的硬件约束决定了并联泵站的站间流量分配方式。但随着非电费成本占比提升,机组硬件约束的影响力减弱使得非电费成本开始主导站间流量分配方式,并且这种变化首先发生在高扬程工况下。在达到一定阈值后,非电费成本对泵站群的最优运行方案有着重要的影响,在优化调度过程中需要将其纳入优化目标中来。

     

    Abstract: Pump stations are widely used and consume huge amounts of energy. Parallel pump stations are a common arrangement of pump stations. Research on optimal flow distribution schemes for parallel pump stations is of great significance to energy saving and consumption reduction in pumping stations. However, in current researches, electricity costs are considered too much, and the consideration of non-electricity costs is insufficient. In this paper, considering the electricity costs and other non-electricity costs, the dynamic programming method is used to construct the optimal flow distribution model between parallel pump stations considering the cost of non-electricity water transfer.Two stations in Suining are operated in parallel. The application results show that:(1) when the proportion of non-electricity cost is low, it has no effect on the traffic optimization scheme, and when the proportion of non-electricity cost reaches the threshold of 65%, it has a strong guiding effect on the distribution scheme.(2) When the proportion is low, the hardware constraints of the units determine the flow distribution method between the parallel pump stations. However, as the proportion of non-electricity cost increases, the influence of unit hardware constraints is weakened, so that non-electricity cost begins to dominate the inter-station flow distribution method of parallel pump stations, and this change first occurs in the case of high lift. The findings show that after reaching a certain threshold, the non-electricity cost has an important impact on the optimal operation plan of the pumping station group, and it needs to be included in the optimization objective in the optimization scheduling process.

     

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