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Seismic reliability analysis of urban water distribution network

Earthquake Engineering and Engineering Vibration 2006年第1期5卷 71-77页

作者：李杰卫书麟刘威 Building Engineering Department Tongji University Shanghai 200092 China State Key Laboratory for Disaster Reduction in Civil Engineering Shanghai 200092 China China Construction （Shenzhen） Design International Shanghai 200233 China

An approach to analyze the seismic reliability of water distribution networks by combining a hydraulic analysis with a first-order reliability method （FORM）, is proposed in this paper. The hydraulic analysis method for normal conditions is modified to accommodate the special conditions necessary to perform a seismic hydraulic analysis. In order to calculate the leakage area and leaking flow of the pipelines in the hydraulic analysis method, a new leakage model established from the seismic response analysis of buried pipelines is presented. To validate the proposed approach, a network with 17 nodes and 24 pipelines is investigated in detail. The approach is also applied to an actual project consisting of 463 nodes and 767 pipelines. The results show that the proposed approach achieves satisfactory results in analyzing the seismic reliability of large-scale water distribution networks.

关键词： water distribution network leakage model hydraulic analysis FORM seismic capacity reliability

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Calculation of the water distribution networks Based on the Theory of Slow Transient Flow

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Journal of Harbin Institute of Technology(New Series) 2014年第1期21卷 49-54页

作者： Hui-Zhe Cao Zhi-Gang Zhou He-Ping Tan Long Guo Fei-Fei Luo School of Municipal and Environmental Engineering Harbin Institute of Technology School of Energy Science and Engineering Harbin Institute of Technology

Urban water supply network is a modern urban survival and development of the infrastructure of a city,and its normal running conditions have important significance. The actual hydraulic process in the variableload water distribution networks can be treated as the slow transient flow which belongs to the unsteady flow. This paper analyzes the multi-loops network slow transient model based on graph theory,and the link flow matrix is treated as the variables of the discrete solution model to simulate the process of the slow transient flow in the network. With the simulation of hydraulic regime in an actual pipe network,the changing laws of the flow in the pipes,nodal hydraulic heads and other hydraulic factors with the passage of time are obtained. Since the transient processes offer much more information than a steady process,the slow transient theory is not only practical on analyzing the hydraulic condition of the network,but also on identifying hydraulic resistance coefficients of pipes and detecting the leakage in networks.

关键词： component: graph theory water distribution network slow transient flow inertial hydraulic head

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Per-unit Scheme for Integrated Solution of Hybrid Power-water Flow Problem

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Journal of Modern Power Systems and Clean Energy 2023年第2期11卷 680-685页

作者： Xia Zhao Hong Tan Luo Wang Mingyi Sun State Key Laboratory of Power Transmission Equipment&System Security and New Technology Chongqing UniversityChongqingChina

When applying the widely-used Newton-Raphson(N-R)method to the integrated solution of the hybrid power-water flow problem of the power-water integrated energy system(PW-IES),it is found that there are numerical differences among Jacobian elements,which may yield an ill-conditioned Jacobian matrix and even cause convergence ***,this letter proposes to per-unitize the water distribution network(WDN)to reduce the numerical differences and thus to improve the Jacobian matrix conditioning and the integrated N-R solution to the hybrid power-water flow problem.

关键词： Integrated energy system load flow Newton-Raphson method water distribution network power-water flow

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Dynamic Scheduling Algorithm Based on Evolutionary Reinforcement Learning for Sudden Contaminant Events Under Uncertain Environment

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Complex System Modeling and Simulation 2022年第3期2卷 213-223页

作者： Chengyu Hu Rui Qiao Zhe Zhang Xuesong Yan Ming Li School of Computer Science China University of GeosciencesWuhan 430074China Department of Computer Science California State UniversityFresnoCA 93740USA

For sudden drinking water pollution event,reasonable opening or closing valves and hydrants in a water distribution network(WDN),which ensures the isolation and discharge of contaminant as soon as possible,is considered as an effective emergency *** this paper,we propose an emergency scheduling algorithm based on evolutionary reinforcement learning(ERL),which can train a good scheduling policy by the combination of the evolutionary computation(EC)and reinforcement learning(RL).Then,the optimal scheduling policy can guide the operation of valves and hydrants in real time based on sensor information,and protect people from the risk of contaminated *** verify our algorithm can achieve good results and effectively reduce the impact of pollution events.

关键词： evolutionary reinforcement learning water distribution network scheduling problem

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Investigation of factors affecting rural drinking water consumption using intelligent hybrid models

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water Science and Engineering 2023年第2期16卷 175-183页

作者： Alireza Mehrabani Bashar Hamed Nozari Safar Marofi Mohamad Mohamadi Ahad Ahadiiman Department of water Science and Engineering Faculty of AgricultureBu-Ali Sina UniversityHamedan 65178-38695Iran University of Kurdistan Sanandaj 66177-15175Iran Sustainable Development Office of Hamedan water and Wastewater Company Hamedan 65159-14478Iran

Identifying the factors affecting drinking water consumption is essential to the rational management of water resources and effective environment protection. In this study, the effects of the factors on rural drinking water demand were studied using the adaptive neuro-fuzzy inference system (ANFIS) and hybrid models, such as the ANFIS-genetic algorithm (GA), ANFIS-particle swarm optimization (PSO), and support vector machine (SVM)-simulated annealing (SA). The rural areas of Hamadan Province in Iran were selected for the case study. Five drinking water consumption factors were selected for the assessment according to the literature, data availability, and the characteristics of the study area (such as precipitation, relative humidity, temperature, the number of subscribers, and water price). The results showed that the standard errors of ANFIS, ANFIS-GA, ANFIS-PSO, and SVM-SA were 0.669, 0.619, 0.705, and 0.578, respectively. Therefore, the hybrid model SVM-SA outperformed other models. The sensitivity analysis showed that of the parameters affecting drinking water consumption, the number of subscribers significantly affected the water consumption rate, while the average temperature was the least significant factor. water price was a factor that could be easily controlled, but it was always one of the least effective parameters due to the low water fee.

关键词： ANFIS water distribution network Simulated annealing algorithm Support vector machine Adaptive neuro-fuzzy inference system

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Hazard and vulnerability evaluation of water distribution system in cases of contamination intrusion accidents

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Frontiers of Environmental Science & Engineering 2012年第6期6卷 839-848页

作者： Kunlun XIN Tao TAO Yong WANG Suiqing LIU College of Environmental Science and Engineering Tongji UniversityShanghai 200092China Zhejiang Urban&Rural Planning Design Institute Hangzhou 300072China

In this paper, it proposed an index system for hazard and vulnerability evaluations of water distribution networks, based on the simulation of contamination events caused by pollutant injections at different junctions. It attempted to answer the following two questions in the case of contamination events： 1） Which are the most hazardous junctions？ 2） Which are the most vulnerable junctions？ With EPANET toolkit, it simulated the propagation of the contaminant, and calculated the peak concentration of the contaminant and mass delivered at different nodes. According to types of consumers, different weights were assigned to the consumer nodes for assessing the influence of the contaminant on the consumers. Using the method proposed herein, both the hazard index and vulnerability index were calculated for each node in the pipe network. The presented method was therefore applied to the water network of the city of Zhenjiang, which contains two water plants, two booster pump stations with storage tanks. In conclusion, the response time, the relationships between the peak concentration of contami- nant and the total absorption are the most important factors in hazard and vulnerability evaluation of the water distribution network.

关键词： water distribution network hazard vulner-ability contaminant accident

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Pump Scheduling Optimization in water distribution networks Incorporated with Deep Neural networks

Pump Scheduling Optimization in Water Distribution Networks ...

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第32届中国过程控制会议(CPCC2021)

作者： Jiahui Xu Mei Meng Jingcheng Wang Department of Automation Shanghai Jiaotong University

Pump scheduling optimization is an essential guarantee for the safety and stability of water supply in water distribution networks(WDNs).However,the existing pump scheduling optimization methods are typically based on artificial experience with no systematic guidance and the empirical policy is relatively simple and not adaptive which makes it hard to implement since the real-world WDN is becoming *** this article,we attempt to address this issue by exploring data-driven approaches for pump scheduling optimization while considering arbitrary topology and no need for a hydraulic ***,the deep neural network is used to obtain the steady-state model of the ***,we use an adaptive policy to construct the loss function and use particle swarm optimization to implement online *** perform simulation studies using a realworld network in Shanghai to evaluate the effectiveness of the steady-state model and the control policy.

关键词： water distribution network Pump Scheduling Deep Neural network Particle Swarm Optimization

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