系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2014年
7期
1904~1910
,共null页
供水实时调度 流量增量模型 压力恒定控制 蚁群算法
供水實時調度 流量增量模型 壓力恆定控製 蟻群算法
공수실시조도 류량증량모형 압력항정공제 의군산법
scheduling optimization; flow increment prediction; constant nodal pressure; ant colony algo-rithm
针对多水源供水管网系统参数多及变量间存在耦合,难以实现合理实时调度而导致水压多变等问题,提出一种基于增量模型控制压力恒定的多源供水管网系统优化调度策略.依据用户流量参数预测建立增量模型,以分界监控点压力参数恒定为目标函数推导多水源调度策略,并调节机泵输出压力,机泵启停状态及变频机泵转速为优化决策变量.鉴于供水系统模型的非线性和混合变量的耦合性,采用蚁群算法进行优化,引进扰动因子并修正搜索转移步长和动态挥发系数来提高全局寻优能力.算例仿真表明,该模型和方法可快速找到优化调度的最优解,跟踪流量变化和保持监测控制节点实时压力恒定的效果好,为多水源的实时协调调度提供了好的基础.
針對多水源供水管網繫統參數多及變量間存在耦閤,難以實現閤理實時調度而導緻水壓多變等問題,提齣一種基于增量模型控製壓力恆定的多源供水管網繫統優化調度策略.依據用戶流量參數預測建立增量模型,以分界鑑控點壓力參數恆定為目標函數推導多水源調度策略,併調節機泵輸齣壓力,機泵啟停狀態及變頻機泵轉速為優化決策變量.鑒于供水繫統模型的非線性和混閤變量的耦閤性,採用蟻群算法進行優化,引進擾動因子併脩正搜索轉移步長和動態揮髮繫數來提高全跼尋優能力.算例倣真錶明,該模型和方法可快速找到優化調度的最優解,跟蹤流量變化和保持鑑測控製節點實時壓力恆定的效果好,為多水源的實時協調調度提供瞭好的基礎.
침대다수원공수관망계통삼수다급변량간존재우합,난이실현합리실시조도이도치수압다변등문제,제출일충기우증량모형공제압력항정적다원공수관망계통우화조도책략.의거용호류량삼수예측건립증량모형,이분계감공점압력삼수항정위목표함수추도다수원조도책략,병조절궤빙수출압력,궤빙계정상태급변빈궤빙전속위우화결책변량.감우공수계통모형적비선성화혼합변량적우합성,채용의군산법진행우화,인진우동인자병수정수색전이보장화동태휘발계수래제고전국심우능력.산례방진표명,해모형화방법가쾌속조도우화조도적최우해,근종류량변화화보지감측공제절점실시압력항정적효과호,위다수원적실시협조조도제공료호적기출.
With the multi-parameter and coupled variations in the multi-source water supply system, itwas difficult to be real-time regulated and the nodal pressure was highly variable, so an optimal schedulingstrategy was proposed, which was based on multi-parameter controlling the pressure constant. Firstly, theflow parameter increments model was established by predicting the nodal hourly water demands, and thevariations of nodal pressures were obtained. Then the scheduling strategy was deduced from controlling theconstant monitoring pressure parameters. At last, the parameters of typical pipe flow directions, pumpsoperation status and speed changes, pumps output flow were regarded as decision variables to be regulated.In view of the nonlinear model and the coupled discrete and continuous variables, ant colony algorithmwas used to optimize the scheduling, with the disturbance factors, exploration transfer ways and dynamicevaporations to improve the global optimization ability and convergence rate. The test results show thatthe new strategy can find the optimM schedule solutionto keep the constant monitoring nodal pressure, thusmulti-source water supply system.quickly, and well track the nodal stream variationsit strengthens the real-time regulation ability of multi-source water supply system.