Real-Time Multiobjective Optimization of Operation of Water Supply Systems
Real-Time Multiobjective Optimization of Operation of Water Supply Systems
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DOI：
10.1061/(asce)wr.1943-5452.0000515
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发表时间：
2015-09
影响因子：
3.1
通讯作者：
F. K. Odan;L. Reis;Z. Kapelan
中科院分区：
文献类型：
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作者：
F. K. Odan;L. Reis;Z. Kapelan
摘要由于能源价格不断上涨，供水系统对更有效地利用能源的需求不断增加。提出了一种供水系统实时优化运行的新方法。该方法基于三个模型的集成：(1)实时需求预测模型，(2)系统的水力仿真模型，(3)优化模型。优化过程以最小化抽水所用能源的成本和最大化运行可靠性为目标。后者在优化过程中使用替代措施来量化，以模拟现实系统中控制室操作员经常采用的保守的泵调度态度。采用多算法遗传自适应方法(AMGAMGAM)生成最优调度方案，采用EPANET2模型进行水力模拟，并利用最新开发的DAN2-H模型进行需求预测。
AbstractThe need for more efficient use of energy in water distribution systems is increasing constantly due to increasing energy prices. A new methodology for optimized real-time operation of a water distribution system is developed and presented here. The methodology is based on the integration of three models: (1) real-time demand forecasting model, (2) hydraulic simulation model of the system, and (3) optimization model. The optimization process is driven by the cost minimization of the energy used for pumping and the maximization of operational reliability. The latter is quantified using alternative measures into the optimization process in order to mimic the conservative attitude to pump scheduling often adopted by control room operators in real-life systems. Optimal pump schedules were generated by using a multialgorithm-genetically-adaptive-method (AMALGAM), hydraulic simulations are performed by using the EPANET2 model, and demand forecasting was performed by using the recently developed DAN2-H m...