LINYong-gang,WULong-yue,ZHENGYue,et al.Optimal Scheduling Technology for Multiple Pumping Stations in Sewage Systems Based on MPC[J].China Water & Wastewater,2023,39(21):49-54.
Optimal Scheduling Technology for Multiple Pumping Stations in Sewage Systems Based on MPC
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第39卷
Number:
第21期
Page:
49-54
Column:
Date of publication:
2023-11-01
- Keywords:
- sewage pumping station scheduling; energy-saving optimization; model predictive control (MPC); distributed model; multi-objective evolutionary algorithm
- Abstract:
- The global optimal scheduling of urban sewage pumping stations is of great practical significance to reduce their energy consumption and management cost. This study utilized a model predictive control (MPC) method, based on a distributed model and a multi-objective optimization algorithm, to minimize the energy consumption and management cost of sewage pumping station systems. A global optimal scheduling technique for multiple pumping stations in urban sewage system was proposed. The response surface method was used to establish a model for predicting the pump level in pumping stations, and an adaptive clustering based evolutionary algorithm for multi-objective optimization (ACEA) was applied to guarantee the speed and accuracy of global scheduling. A comparison was made between the energy consumption and operational complexity of the pumping station before and after scheduling, which could provide scientific and reasonable scheduling strategies for operation and maintenance personnel. Taking a certain area of W city as an example, a global optimization scheduling method was applied to obtain a reliable scheduling plan for daily operating conditions in dry weather. The results showed that if the optimized scheduling scheme was operated, the energy consumption was 3%-24% lower than that of the historical schemes, about 13% on average, and the operational complexity was 5%-52% lower, about 34% on average. This indicates that the optimized method can significantly reduce the energy consumption, the complexity of the scheme and the operation and management costs. There is a certain antagonistic relationship between the energy consumption and operational complexity of the scheduling plan, indicating that decision-makers need to choose the plan reasonably based on the actual needs of energy consumption and O&M costs.
Last Update:
2023-11-01