The Experts below are selected from a list of 20331 Experts worldwide ranked by ideXlab platform
Xiangtao Zhuan - One of the best experts on this subject based on the ideXlab platform.
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efficient operation of the fourth huaian Pumping Station in east route of south to north water diversion project
International Journal of Electrical Power & Energy Systems, 2018Co-Authors: Xiangtao Zhuan, Lei Zhang, Fei YangAbstract:Abstract The fourth Huaian Pumping Station is one of the second-stage Pumping Stations on the east route of the south-to-north water diversion project in China. The operation optimization problem of three pumps in the Station is formulated to minimize the electricity cost while satisfying the flow demand. After analyzing the characteristics of the problem, a decomposition method is proposed to reduce the dimensionality of the optimization problem and thus the computation time. Simulation shows that the energy cost is reduced by 2.54 % compared with the benchmark scheduling based on the proposed method. In comparison with the decomposition/aggregation-dynamic programming method and the dynamic programming with successive approximation method, the proposed algorithm can effectively save electricity costs for Huaian Pumping Station. The case study shows that the cost efficiency comes from two aspects: demand shift from the time intervals with a high electricity price to those with a low electricity price, and the operation mode with high energy efficiency. The former is subject to the pumps’ capacity and the daily demand. The larger the pumps’ capacity is, the more demand can be shifted and thus the lower the cost is. The latter is subject to the pumps’ characteristics and the pump heads. The larger the head is, the smaller the difference for energy efficiencies with different blade angles are, and the smaller the energy savings with the optimal operation are. When the demand is high for a given pump head, demand shifting is the main reason, while the second aspect is the main reason when the demand is low.
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optimal operation scheduling of a Pumping Station in east route of south to north water diversion project
Energy Procedia, 2017Co-Authors: Xiangtao Zhuan, Fei YangAbstract:Abstract The fourth Huaian Pumping Station is one of the second-stage Pumping Stations in the South-to-North water diversion project (east route) in China. The operation optimization problem of three pumps in the Station is formulated to reduce the electricity cost with the flow demand satisfied. With the characteristics of the problem analyzed, an decomposition method is proposed to reduce the dimensionality of the optimization problem and thus the computation time. Simulation shows the feasibility of proposed method in the reductions of the energy cost. The case study shows that the cost efficiency comes from two aspects: demand shift from the time intervals with high electricity price to those with low electricity price, and the operation mode with high energy efficiency.
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development of efficient model predictive control strategy for cost optimal operation of a water Pumping Station
IEEE Transactions on Control Systems and Technology, 2013Co-Authors: Xiangtao Zhuan, Xiaohua XiaAbstract:Considering time-of-use electricity pricing, the optimal scheduling problem of a Pumping Station is reformulated into a control sequence (CS) optimal scheduling problem, for which a reduced dynamic programming algorithm (RDPA) is proposed to obtain the solution. It is shown that the RDPA allows a reduction of the operational cost by about 60% compared to a basic conventional control strategy, in the example investigated. The fast computation feature of the RDPA facilitates the implementation of a model predictive control (MPC) strategy. In the simulations, RDPA within the MPC structure is found to provide robust control and a marginally increased operational cost, given a ±10% inflow rate uncertainty and a modest stochastic rainfall variability (up to 20%).
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optimal operation scheduling of a Pumping Station with multiple pumps
Applied Energy, 2013Co-Authors: Xiangtao Zhuan, Xiaohua XiaAbstract:The optimal operation scheduling of a Pumping Station with multiple pumps is formulated as a dynamic programming problem. Based on the characteristics of the problem, an extended reduced dynamic programming algorithm (RDPA) is proposed to solve the problem. Both the energy cost and the maintenance cost are considered in the performance function of the optimization problem. The extended RDPA can significantly reduce the computational time when it is compared to conventional DP algorithms. Simulation shows the feasibility of the reduction of the operation cost.
Fei Yang - One of the best experts on this subject based on the ideXlab platform.
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efficient operation of the fourth huaian Pumping Station in east route of south to north water diversion project
International Journal of Electrical Power & Energy Systems, 2018Co-Authors: Xiangtao Zhuan, Lei Zhang, Fei YangAbstract:Abstract The fourth Huaian Pumping Station is one of the second-stage Pumping Stations on the east route of the south-to-north water diversion project in China. The operation optimization problem of three pumps in the Station is formulated to minimize the electricity cost while satisfying the flow demand. After analyzing the characteristics of the problem, a decomposition method is proposed to reduce the dimensionality of the optimization problem and thus the computation time. Simulation shows that the energy cost is reduced by 2.54 % compared with the benchmark scheduling based on the proposed method. In comparison with the decomposition/aggregation-dynamic programming method and the dynamic programming with successive approximation method, the proposed algorithm can effectively save electricity costs for Huaian Pumping Station. The case study shows that the cost efficiency comes from two aspects: demand shift from the time intervals with a high electricity price to those with a low electricity price, and the operation mode with high energy efficiency. The former is subject to the pumps’ capacity and the daily demand. The larger the pumps’ capacity is, the more demand can be shifted and thus the lower the cost is. The latter is subject to the pumps’ characteristics and the pump heads. The larger the head is, the smaller the difference for energy efficiencies with different blade angles are, and the smaller the energy savings with the optimal operation are. When the demand is high for a given pump head, demand shifting is the main reason, while the second aspect is the main reason when the demand is low.
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optimal operation scheduling of a Pumping Station in east route of south to north water diversion project
Energy Procedia, 2017Co-Authors: Xiangtao Zhuan, Fei YangAbstract:Abstract The fourth Huaian Pumping Station is one of the second-stage Pumping Stations in the South-to-North water diversion project (east route) in China. The operation optimization problem of three pumps in the Station is formulated to reduce the electricity cost with the flow demand satisfied. With the characteristics of the problem analyzed, an decomposition method is proposed to reduce the dimensionality of the optimization problem and thus the computation time. Simulation shows the feasibility of proposed method in the reductions of the energy cost. The case study shows that the cost efficiency comes from two aspects: demand shift from the time intervals with high electricity price to those with low electricity price, and the operation mode with high energy efficiency.
Jiandong Tian - One of the best experts on this subject based on the ideXlab platform.
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Optimizing the system-wide layout of sewage treatment plants based on enumeration and the orthogonal test
Environmental science and pollution research international, 2021Co-Authors: Jiandong TianAbstract:Optimizing the locations of sewage treatment plants has enormous practical significance. In this study, a large-system mathematical model was developed for optimizing the locations of sewage treatment plants within a system and designing the associated Pumping Station pipe network. Head loss of pipe segments in the pipe network was the coupling constraint, the economic flow rate of pipe segments was determined by the feasible region constraints of decision variables, and the design variables were the sewage treatment plant locations, the design head of the Pumping Stations, the pipeline economic life, and the pipe diameter of divided pipe segments. The minimum total annual cost of the sewage treatment plant(s) and the Pumping Station pipe network was the objective function. A large-system quadratic orthogonal test-based selection method was used with a discrete enumeration comparison and selection method to determine pipeline economic life. A dynamic programming method was used to determine the pipe diameter of the divided pipe segments. By comparing the total annual cost of the sewage treatment plants and the associated Pumping Station pipe network corresponding to different pipeline economic lifetimes, the optimal solution that generates the minimum total annual cost can be identified. The sewage treatment plant and Pumping Station pipe network in Taizhou, China, was used as an example to compare and analyze optimization results. The new optimization method would have produced much lower annual cost than that of the existing system. This study provides valuable theoretical references for probing the layout design of urban sewage treatment plants corresponding to different pipeline economic lifetimes.
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optimization of municipal pressure Pumping Station layout and sewage pipe network design
Engineering Optimization, 2018Co-Authors: Jiandong Tian, Jilin Cheng, Yi GongAbstract:ABSTRACTAccelerated urbanization places extraordinary demands on sewer networks; thus optimization research to improve the design of these systems has practical significance. In this article, a subsystem nonlinear programming model is developed to optimize Pumping Station layout and sewage pipe network design. The subsystem model is expanded into a large-scale complex nonlinear programming system model to find the minimum total annual cost of the Pumping Station and network of all pipe segments. A comparative analysis is conducted using the sewage network in Taizhou City, China, as an example. The proposed method demonstrated that significant cost savings could have been realized if the studied system had been optimized using the techniques described in this article. Therefore, the method has practical value for optimizing urban sewage projects and provides a reference for theoretical research on optimization of urban drainage Pumping Station layouts.
Cai Ning - One of the best experts on this subject based on the ideXlab platform.
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the design of monitoring and controlling system in sewage Pumping Station based on configuration technology
Journal of Nanjing Forestry University, 2006Co-Authors: Cai NingAbstract:Based on the construction project of a sewage Pumping Station,the application of the configuration technology and its roles was introduced in designing the monitoring and controlling system,including system configuration,function design,and software development skills.The control system is user-friendly,easy-to-use,and extensible.In addition,it includes the other features such as statistics,querying,and high reliability.The adoption of the configuration technology shortens the development circle and reduces the development costs.
Xiaohua Xia - One of the best experts on this subject based on the ideXlab platform.
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development of efficient model predictive control strategy for cost optimal operation of a water Pumping Station
IEEE Transactions on Control Systems and Technology, 2013Co-Authors: Xiangtao Zhuan, Xiaohua XiaAbstract:Considering time-of-use electricity pricing, the optimal scheduling problem of a Pumping Station is reformulated into a control sequence (CS) optimal scheduling problem, for which a reduced dynamic programming algorithm (RDPA) is proposed to obtain the solution. It is shown that the RDPA allows a reduction of the operational cost by about 60% compared to a basic conventional control strategy, in the example investigated. The fast computation feature of the RDPA facilitates the implementation of a model predictive control (MPC) strategy. In the simulations, RDPA within the MPC structure is found to provide robust control and a marginally increased operational cost, given a ±10% inflow rate uncertainty and a modest stochastic rainfall variability (up to 20%).
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optimal operation scheduling of a Pumping Station with multiple pumps
Applied Energy, 2013Co-Authors: Xiangtao Zhuan, Xiaohua XiaAbstract:The optimal operation scheduling of a Pumping Station with multiple pumps is formulated as a dynamic programming problem. Based on the characteristics of the problem, an extended reduced dynamic programming algorithm (RDPA) is proposed to solve the problem. Both the energy cost and the maintenance cost are considered in the performance function of the optimization problem. The extended RDPA can significantly reduce the computational time when it is compared to conventional DP algorithms. Simulation shows the feasibility of the reduction of the operation cost.
