Relevant bibliographies by topics / Distribution network reliability

Academic literature on the topic 'Distribution network reliability'

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Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Distribution network reliability"

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Zhu, Yanping, Jianbo Gong, and Xin Sun. "The Reliability Improvement Strategy of Medium Voltage Distribution Network Based on Network Frame Optimization." International Journal of Electrical Energy 7, no. 2 (December 2019): 58–61. http://dx.doi.org/10.18178/ijoee.7.2.58-61.

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Gu, Chenghong, Jianzhong Wu, and Furong Li. "Reliability-Based Distribution Network Pricing." IEEE Transactions on Power Systems 27, no. 3 (August 2012): 1646–55. http://dx.doi.org/10.1109/tpwrs.2012.2187686.

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Vaabel, J., T. Koppel, L. Ainola, and L. Sarv. "Capacity reliability of water distribution systems." Journal of Hydroinformatics 16, no. 3 (November 13, 2013): 731–41. http://dx.doi.org/10.2166/hydro.2013.040.

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Hydraulic power capacity of the water distribution network (WDN) is analyzed, and energetically maximum flows in pipes and networks are determined. The concept of hydraulic power for the analysis of WDN characteristics is presented. Hydraulic power capacity characterizes the WDN capacity to meet pressure and flow demands. A capacity reliability indicator called the surplus power factor is introduced for individual transmission pipes and for distribution networks. The surplus power factor s that characterizes the reliability of the hydraulic system can be used along with other measures developed to quantify the hydraulic reliability of water networks. The coefficient of the hydraulic efficiency ηn of the network is defined. A water distribution system in service is analyzed to demonstrate the s and ηn values in the water network in service under different demand conditions. In order to calculate the s factor for WDNs, a network resistance coefficient C was determined. The coefficient C characterizes overall head losses in water pipelines and is a basis for the s factor calculation. This paper presents a theoretical approach to determine the coefficient C through matrix equations.
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Mishra, Sambeet, Chiara Bordin, Jordi Mateo Fornes, and Ivo Palu. "Reliability framework for power network assessment." E3S Web of Conferences 80 (2019): 02005. http://dx.doi.org/10.1051/e3sconf/20198002005.

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Reliability of power system in terms of investments in network maintenance and restructuring for power distribution network has gained importance due to increase in distributed generation. To determine the reliability of the power distribution network, the state of power apparatus, losses in the network and consumer satisfaction indices are key factors. Considering the aforementioned, this paper proposes a holistic reliability framework for power distribution networks. The framework lists the following factors: life cycle of power apparatus, environmental and sociological, node reliability, arc reliability. A case study for reliability evaluation is performed on a modified IEEE 14 bus network. Furthermore, multiple scenarios of generation fault or outage are studied and results are presented. The key contribution of this paper is to present a novel and holistic reliability framework to model distribution network.
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Huang, Zi Long, and Lin Guan. "Reliability Evaluation of Planning Distribution Network." Advanced Materials Research 361-363 (October 2011): 1524–28. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.1524.

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To make the reliability evaluation suitable for the planning distribution network,which contain the large-scale existing network and the uncertain planning part,proposes an algorithm based on the idea of section and enumeration method. This algorithm fully considers how the breakers, lines, switches, distribution transformers and other equipment failures impact the reliability index of distribution network .The effects of both the alternative path and the refusing of fuses are considered in the proposed algorithm. The calculation results of actual case show that the proposed method is effective.
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Yang, Shu-li, Nien-Sheng Hsu, Peter W. F. Louie, and William W.-G. Yeh. "Water Distribution Network Reliability: Connectivity Analysis." Journal of Infrastructure Systems 2, no. 2 (June 1996): 54–64. http://dx.doi.org/10.1061/(asce)1076-0342(1996)2:2(54).

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Yang, Shu-li, Nien-Sheng Hsu, Peter W. F. Louie, and William W.-G. Yeh. "Water Distribution Network Reliability: Stochastic Simulation." Journal of Infrastructure Systems 2, no. 2 (June 1996): 65–72. http://dx.doi.org/10.1061/(asce)1076-0342(1996)2:2(65).

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Liu, Ningbo, Tiantian Wu, Tao Xu, and Yan Ma. "Reliability evaluation method for distribution network." Journal of Engineering 2017, no. 13 (January 1, 2017): 1771–76. http://dx.doi.org/10.1049/joe.2017.0636.

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Billinton, R., and P. Wang. "Reliability-network-equivalent approach to distribution-system-reliability evaluation." IEE Proceedings - Generation, Transmission and Distribution 145, no. 2 (1998): 149. http://dx.doi.org/10.1049/ip-gtd:19981828.

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Zhang, Kaiyu, Shanshan Shi, Shu Liu, Junjie Wan, and Lijia Ren. "Research on DBN-based Evaluation of Distribution Network Reliability." E3S Web of Conferences 242 (2021): 03004. http://dx.doi.org/10.1051/e3sconf/202124203004.

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In order to accurately and efficiently analyze the reliability of distribution network, this paper proposes a method of analyzing the reliability of distribution network based on a deep belief network. The Deep Belief Network (DBN) is composed of limiting Boltzmann machine layer-by-layer stacking. It has a strong advantage of automatic feature extraction, which overcomes the shortcomings of traditional neural networks in extracting data features. The entire training process of DBN can be roughly divided into two stages: pre-training and fine-tuning.First of all, the pre-training of the DBN model is realized by training the Restricted Boltzmann Machine (RBM) layer by layer, then the BP algorithm is used for reverse fine-tuning to complete the training process of the entire network. finally, the reliability analysis of distribution network is performed by the trained DBN. Compared with the BP neural network method and the traditional Monte Carlo simulation method, it is verified that the proposed model of distribution network reliability analysis has high accuracy.
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Dissertations / Theses on the topic "Distribution network reliability"

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Akkas, Izzet Saygin. "Reliability Based Water Distribution Network Design." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607830/index.pdf.

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The need of water and the limited sources, force the researchers to find the most economical and feasible solution in the design of a water distribution network. In this study, reliability and optimization of a water distribution network are taken into account together in the design stage of the network. The relationship between reliability of a water distribution network and its cost is examined during the design of a water distribution network. A methodology for deciding the reliability level of the selected design is proposed by examining the reliability-cost relationship. The design alternatives for the case study area are obtained by the aid of a commercially available software WADISO employing partial enumeration optimization technique. The reliability value for each of the design alternative is calculated according to Misirdali (2003)&rsquo
s adaptation based on the methodology proposed by Bao and Mays (1990) by the aid of a hydraulic network solver program HapMam prepared by Nohutç
u (2002). For purposes of illustration, the skeletonized form of Ankara Water Distribution Network subpressure zone (N8-1) is taken as the case study area. The methodology in this study, covering the relation between the reliability and the cost of a water distribution network and the proposed reliability level can be used in the design of new systems.
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Babu, Sajeesh. "Reliability Evaluation of Distribution Systems Considering Failure Modes and Network Configuration." Doctoral thesis, KTH, Elektroteknisk teori och konstruktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215115.

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Power distribution networks are recognized as the constituent part of power systems with the highest concentration of failure events. Even though the faults in distribution networks have a local effect when compared to the generation and transmission sides, major contingency escalation events are being more frequently reported from this section. The various aspects regarding the reliability and performance of distribution networks are identified as an important topic. Integration of new technologies, automation and increased penetration of distributed generation is expected to make improving and even sustaining high reliability standards a complex task.   This thesis presents developed approaches to quantify and analyze the complex correlated failure probabilities of different failure modes in distribution networks. A theoretical simulation model that relates to real world data to measure false tripping probabilities is developed and tested. More simplified approaches that utilities can exercise with readily available data in fault registers are also established.  Optimal configurations that could improve system performance and respective investment costs are analyzed and savings in system reliability at the cost of grid investments are modelled. The optimization helps in prioritizing the most critical investments by considering the system impact of reconfigurations focusing on meeting customer demands and respecting transfer capacities of weak links. The value of existing networks and willingness of the grid owner in investing can be integrated into suggestive alterations to assist decision making in planning and maintenance allocation.   The thesis makes both system specific and generalizable observations from detailed data collection from power utilities. The observations and results have potential in aiding future research by giving important understanding of the reliability impacts of network structures and of control and protection equipment.
Eldistributionsnätet är den del av elnäten som leder till flest kundarbrott trots att felhändelserna oftast är mycket lokala jämfört med händelse på genererings och transmissions sidan. Alltså identifieras de olika aspekterna beträffande pålitlighet och prestanda för distributionssystem som viktiga ämnen. Integration av ny teknik, automatisering och ökad penetration av distribuerad produktion förväntas göra förbättringar och rent av upprätthållande av höga tillförlitlighetskrav till en komplex uppgift.   Denna avhandling presenterar metoder för att kvantifiera och analysera de komplexa och korrelerade sannolikheterna för olika fellägen i distributionsnätet. En teoretisk simuleringsmodell baserrad på verkliga data för att mäta sannolikheter för felaktiga brytarkommandon utvecklas och testas. Mer förenklade tillvägagångssätt där elnätsföretag kan använda lättillgängliga data i felregister presenteras också. Optimala konfigurationer som kan förbättra systemprestandan och investeringskostnader analyseras och minskningar i systemets tillförlitlighet genom minskade kostnader för nätinvesteringar modelleras. Optimeringen bidrar till att prioritera kritiska investeringar genom att påvisa systemets inverkan av omkonfigurationer. Optimeringen tär hänsyn till kundernas krav och att bevara överföringsförmågan hos svaga länkar. Värdet av befintliga nät och villigheten hos nätägaren att investera kan undersökas som förslag, till ändringar, som stöd detta för beslut om planering och underhåll.   Avhandlingen gör både systemspecifika och generaliserbara observationer från en detaljerad datainsamling från elnätägare. Observationerna och resultaten har potential att hjälpa framtida forskning genom att ge en viktig förståelse för tillförlitlighetseffekter från nätverksstrukturen och från kontroll- och skyddsutrustning.

QC 20171004

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Muhammad, Ridzuan Mohd Ikhwan Bin. "Reliability assessment of distribution networks incorporating regulator requirements, generic network equivalents and smart grid functionalities." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/29009.

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Over the past decades, the concepts and methods for reliability assessment have evolved from analysing the ability of individual components to operate without faults and as intended during their lifetime, into the comprehensive approaches for evaluating various engineering strategies for system planning, operation and maintenance studies. The conventional reliability assessment procedures now receive different perspectives in different engineering applications and this thesis aims to improve existing approaches by incorporating in the analysis: a) a more detailed and accurate models of LV and MV networks and their reliability equivalents, which are important for the analysis of transmission and sub-transmission networks, b) the variations in characteristics and parameters of LV and MV networks in different areas, specified as “generic” UK/Scottish highly-urban, urban, sub-urban and rural network models, c) the relevant requirements for network reliability performance imposed by Regulators on network operators, d) the actual aggregate load profiles of supplied customers and their correlation with typical daily variations of fault probabilities and repair times of considered network components, and e) some of the expected “smart grid” functionalities, e.g., increased use of network automation and reconfiguration schemes, as well as the higher penetration levels of distributed generation/storage resources. The conventional reliability assessment procedures typically do not include, or only partially include the abovementioned important factors and aspects in the analysis. In order to demonstrate their importance, the analysis presented in the thesis implements both analytical and probabilistic reliability assessment methods in a number of scenarios and study cases with improved and more detailed “generic” LV and MV network models and their reliability equivalents. Their impact on network reliability performance is analysed and quantified in terms of the frequency and duration of long and short supply interruptions (SAIFI and SAIDI), as well as energy not supplied (ENS). This thesis addresses another important aspect of conventional approaches, which often, if not always, provide separate indicators for the assessment of system-based reliability performance and for the assessment of customer-based reliability performance. The presented analysis attempts to more closely relate system reliability performance indicators, which generally correspond to a fictitious “average customer”, to the actual “best-served” and “worst-served” customers in the considered networks. Here, it is shown that a more complex metric than individual reliability indicators should be used for the analysis, as there are different best-served and worst-served customers in terms of the frequency and duration of supply interruptions, as well as amounts of not supplied energy. Finally, the analysis in the thesis considers some aspects of the anticipated transformation of existing networks into the future smart grids, which effectively require to re-evaluate the ways in which network reliability is approached at both planning and operational stages. Smart grids will feature significantly higher penetration levels of variable renewable-based distributed generation technologies (with or without energy storage), as well as the increased operational flexibility, automation and remote control facilities. In this context, the thesis evaluates some of the considered smart grid capabilities and functionalities, showing that improved system reliability performance might result in a deterioration of power quality performance. This is illustrated through the analysis of applied automation, reconfiguration and automatic reclosing/remote switching schemes, which are shown to reduce frequency and duration of long supply interruptions, but will ultimately result in more frequent and/or longer voltage sags and short interruptions. Similarly, distributed generation/storage resources might have strong positive impact on system reliability performance through the reduced power flows in local networks and provision of alternative supply points, even allowing for a fully independent off-grid operation in microgrids, but this may also result in the reduced power quality levels within the microgrids, or elsewhere in the network, e.g. due to a higher number of switching transfers and transients.
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Rasouli, Aisan. "Network Structure Optimisation for Assesing Reliability Alterations : Investigating the Relationshp Between System Reliability and Total Cable Length in a Distribution Network." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254391.

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We live in a time where society put a high demand for the quality performanceof the electricity network. At the same time the electricity companiesneed to operate their businesses with an increasing need for cost-effectiveness.An approach for electricity companies - especially grid owners - to make theiroperations more cost-effective could be to focus on the design of the networkitself, for instance structuring the network so that the total length of cable isreduced.This thesis targets the configuration of the primary feeders, based on thestructure of an existing distribution network and the minimization of the totalamount of cable in the network. The goal with the thesis - apart from studyingif cable minimization improves reliability - is to find a method that could designdistribution networks not only retroactively but also in a planning stage.The objective function of the optimisation problem is to minimize the totalcable length in the network. The constraints are based on keeping powerbalance over each load point and no cable capacity violations. If it weren’t forthe fact that the objective function and the constraints have different units,the problem could have been solved with ordinary linear programming. Now,mixed integer linear programming is utilized instead, which uses heuristics as asolver. Dividing the substations into clusters and studying different scenariosof willingness to invest into the network, two radial network structures werederived by the proposed algorithm.Results from comparing the existing network with the two derived networksshows that reliability indices may in fact improve when the total cable lengthis reduced. Although more tests are necessary.Calculated values and discussions about the results are documented in thethesis report.
Vi lever i en tid där samhället ställer höga krav på elnätets prestanda ochtillförlitlighet. Samtidigt har elnätsföretagen ett ökat behov av att kostnadseffektiviserasin verksamhet. Ett sätt för dem - speciellt elnätsägarna - att blimer kostnadseffektiva skulle kunna vara att fokusera på elnätets design. Exempelvisatt bygga upp nätverket på ett sätt så att den totala kabellängdenminimeras.Det här mastersexamensarbetet studerar konfigurationen av de primäramatarledningarna, baserat på ett nuvarande distributionselnäts utseende ochen minimering av den totala kabellängden. Målet med arbetet är - förutomatt undersöka om den minskade kabellängden förbättrar elnätets tillförlitlighet- att hitta en metod som kan designa elnätet både retroaktivt och i ettplaneringsstadium.Optimeringsproblemets målfunktion är att minimera den totala kabellängdeni nätverket. Bivillkoren är grundade på att hålla kraftbalansen i systemetoch att inte överskrida kabelkapaciteten. Om det inte vore för att målfunktionenoch bivillkoren har olika enheter skulle problemet kunnat lösas med vanliglinjär programmering. Nu modelleras det istället som ett MILP-problem, vilketanvänder sig av heuristik för att hitta en lösning. Efter att ha delat upp lastnodernai kluster och studerat olika scenarion av investeringsvilja i nätverket,lyckades den föreslagna algoritmen ta fram två radiella nätverk.Resultaten av att ha jämfört det nuvarande elnätet med de två föreslagnaalternativen visar att olika tillförlitlighetsindex kan förbättras när kabellängdenminskar. Fler tester är dock nödvändiga.Beräknade värden och närmre diskussioner kring resultatet är dokumenteradei rapporten.
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Waseem, Irfan. "Impacts of Distributed Generation on the Residential Distribution Network Operation." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/36394.

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In this research, the impacts of installing DG on a residential distribution circuit are explored. The work is focused on analyzing the impact of DG installation on distribution network operation including voltage analysis, electric losses and reliability of the system. First, various DG penetration levels and the impact of distributing the DG across several locations are explored. Secondly, the impacts of installing DG on any one phase on the voltage profiles of the unbalanced three-phase distribution network are investigated. Thirdly, the losses of the system are analyzed. Next, the reliability analysis (SAIDI, CAIDI, ENS, and AENS) of the system is performed by installing DGs as backup generators. Different DG penetration levels, locations and the impacts of installing one large-scale DG on the main distribution line vs. several small-scale randomly distributed DGs are explored. A residential distribution circuit in Blacksburg, VA was built using its one-line diagram in DEW (Distributed Engineering Workstation) to perform detailed analysis. The research involves several case studies that explore the impacts of installing distributed generation (DG) on residential distribution network operation including the voltage profile, losses, and reliability indices of the system.
Master of Science
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Zhang, Boyi. "Distribution network automation for multi-objective optimisation." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/distribution-network-automation-for-multiobjective-optimisation(4d04be21-2ac5-4891-8bcf-9b8ed6532043).html.

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Asset management and automation are acknowledged by distribution utilities as a useful strategy to improve service quality and reliability. However, the major challenge faced by decision makers in distribution utilities is how to achieve long-term return on the projects while minimising investment and operation costs. Distribution automation (DA) in terms of transformer economic operation (TEO), distribution network reconfiguration (DNR), and sectionalising switch placement (SSP) is recognised as the most effective way for distribution network operators (DNOs) to increase operation efficiency and reliability. Automated tie-switches and sectionalising switches play a fundamental role in distribution networks. A method based on the Monte Carlo simulation is discussed for transformer loss reduction, which comprises of profile generators of residential demand and a distribution network model. The ant colony optimisation (ACO) algorithm is then developed for optimal DNR and TEO to minimise network loss. An ACO algorithm based on a fuzzy multi-objective approach is proposed to solve SSP problem, which considers reliability indices and switch costs. Finally, a multi-objective ant colony optimisation (MOACO) and an artificial immune systems-ant colony optimisation (AIS-ACO) algorithm are developed to solve the reconfiguration problem, which is formulated within a multi-objective framework using the concept of Pareto optimality. The performance of the optimisation techniques has been assessed and illustrated by various case studies on three distribution networks. The obtained optimum network configurations indicate the effectiveness of the proposed methods for optimal DA.
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Isapour, Chehardeh Maziar. "AUTOMATIC RECONFIGURATION OF RADIAL DISTRIBUTION NETWORK FOR RELIABILITY ASSESSMENT USING THE CIRCUIT GRAPH." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/dissertations/1572.

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The problem of optimum restoration after occurrence the outages in a distribution network is an important issue in smart grids. In this kind of networks remote-controlled switches, alternative sources and grid-connected distributed generators (DG) are employed. Therefore, the reliability of the system (corresponding to the frequency of failures and the duration of interruptions) is improved by operating the switches to resupply a part of interrupted system during the repair time. To evaluate the reliability indices in smart grids, neglecting the restoration during the repair time causes the wrong assessment of the network. Thus, considering the rerouting the power during the interruptions seems necessary to calculate the reliability indices. The problem of restoration is formulated as a non-linear integer programming problem with the assistance of the network graph. The circuit graph method is also used to pre-evaluate the feasible interchanging operations to enhance the efficiency of the computations. The topological and operational constraints in this formulation can be found and resolved with the assistance of fundamental cut-set matrix. The optimum restoration schemes is obtained by considering the optimal islanded mode of operation of the DGs which implies maximizing the loading of DGs while not violating their generation capacities. The optimum restoration policies lead us to find the optimum number and location of those manual switches that should be upgraded to the remote-controlled switches. This is a multi-objective problem that contains the contribution of each restoration policy in the reliability improvement and the cost of those switching operations. The proposed algorithm is applied to different standard test systems and the results are compared to the results obtained from other methods and algorithms.
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Memarian, Neda. "Resilience of Water Distribution Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Resilience is widely interpreted as the capacity of a system to resist (preparation phase), absorb and withstand (responding phase), and rapidly recover from (restoration phase) exceptional conditions. During this study, a mixed variety of calculations were assessed in order to find the best solution for determination of resilience and reliability of a simple network. Then, Todini’s formula and failure index was applied to estimate reliability of system in different scenarios as constant demands in period of 24 hours, constant demands in period of 72 hours when tank will be empty (failure of tank), variable demands in period of 24 hours. At first hydraulic simulation of those scenarios was done by EPANET and validated by MATLAB-TOOLKIT. Then, Resilience index (RI), Failure Index (FI) and reliability (R) of system were measured. Finally, an optimization procedure was done to make a water distribution network with highest resilience and lowest failure probability. All these procedures have been applied on a real network as WDS of Modena. It concluded that this method can be used for every water system without considering the type of failure. As a result, first scenario has a constant decreased and increased trend of RI and FI respectively because of diminishing of water level in tank. During second scenario, there is significant change after the tank will be empty (or it is broke). Third scenario is more like a real network with variable demand during a day. It was concluded that there is a minimum resilience parameter during day when a peak time of water demand expected. It can be justified that the reservoir and pump system had to sustain more pressure to satisfy the demands of junctions. Maximum resilience is related to night during a day with less demands and providing water by tank to other junctions. This modelling could be useful to optimize the dimensions and features of instruments to increase availability and reliability of system.
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Akdogan, Tevfik. "Design Of Water Distribution System By Optimization Using Reliability Considerations." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606082/index.pdf.

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ABSTRACT DESIGN OF WATER DISTRIBUTION SYSTEM BY OPTIMIZATION USING RELIABILITY CONSIDERATIONS Akdogan, Tevfik Department of Civil Engineering Supervisor : Assoc. Prof. Dr. Nuri Merzi April 2005, 91 pages In spite of a wide research, design of water distribution networks are not realized using optimization techniques. One reason for this fact is, design of water distribution networks is evaluated, mostly, as a least-cost optimization problem where pipe diameters being the only decision variables. The other motivation for preferring the traditional modeling practice is that, existing optimization algorithms are not presented to the user as friendly as it should be. In fact, water distribution systems are very complex systems such that it is not easy to obtain least-cost design systems considering other constraints such as reliability, in addition to classical constraints related to hydraulic feasibility, satisfaction of nodal demands and requirement of nodal pressures. This study presents a user-friendly package concerning the design of water distribution networks by optimization using reliability considerations
this works employs the algorithm proposed by Goulter and Coals (1986). At the end, a skeletonized network design is offered
various costs are estimated in regard to the degree of reliability.
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Atkinson, Stuart. "A futures approach to water distribution and sewer network (re)design." Thesis, University of Exeter, 2013. http://hdl.handle.net/10871/10730.

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When designing urban water systems (i.e. water distribution and sewer systems) it is imperative that uncertainty is taken into consideration. However, this is a challenging problem due to the inherent uncertainty associated with both system loading requirements and the potential for physical components failure. It is therefore desirable to improve the reliability of each system in order to account for these uncertainties. Although it is possible to directly evaluate the reliability of a water distribution systems (WDS) (using reliability measures), the calculation processes involved are computationally intensive and therefore unsuitable for some state-of-the-art, iterative design approaches (such as optimisation). Consequently, interest has recently grown in the use of reliability indicators, which are simpler and faster to evaluate than conventional direct reliability methods. In this thesis, a novel measure (the RUF) is developed to quantify reliability in urban water systems with a view to enhance their robustness under a range of future scenarios (Policy Reform, Market Forces, Fortress World and New-Sustainability Paradigm). The considered four future scenarios were synthesized in the EPSRC supported multidisciplinary 4 year project: Urban Futures. Each investigated urban future scenario is characterised by a distinct household water demand and local demand distribution (emerging due to different urban forms evolving in future scenarios). In order to assess the impact of urban futures, RUF has been incorporated into Urban Water System (UWS) dynamic simulations for both WDSs and Foul Sewer Systems (FSSs) using open source codes of EPANET and SWMM. Additionally, in order to overcome extensive computational effort, resulting from the use of traditional reliability measures, a new holistic reliability indicator, the hydraulic power entropy (IHPE) has been developed and compared to existing reliability indicators. Additionally, the relationship between the new reliability indicator and the above mentioned RUF reliability measure is investigated. Results suggest that the magnitude of the IHPE in network solutions provides a holistic indication of the hydraulic performance and reliability for a WDS. However, the performance of optimal solutions under some Urban Futures indicates that additional design interventions are required in order to achieve desired future operation. This thesis also proposes a new holistic foul sewer system (FSS) reliability indicator (the IFSR). The IFSR represents sewer performance as a function of excess pipe capacity (in terms of available increase and also decrease in inflow). The indicator has been tested for two case studies (i.e. different sewer network layouts). Results suggest that the magnitude of IFSR has positive correlations with a number of identified key performance indicators (i.e. relating to capacity, velocity, blockages). Finally, an Integrated Design Approach (IDA) has been developed in order to assess the implications of applying design interventions on both a WDS and downstream FSS. The approach holistically considers present and future operation of each interconnected system. The approach was subsequently demonstrated using two proposed design interventions. Results suggest that, for the considered design interventions, there is trade-off between the simultaneous improvement of both WDS and FSS operation and reliability.
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Books on the topic "Distribution network reliability"

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Sayas, Florencia Castro. Reliability assessment of distribution networks containing embedded wind generation. Manchester: UMIST, 1996.

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Rybakov, L. M. Metody i sredstva obespechenii︠a︡ rabotosposobnosti ėlektricheskikh raspredelitelʹnykh seteĭ 10 kV: Nauchnoe izdanie. Moskva: Ėnergoatomizdat, 2004.

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Engineers, Institution of Electrical, and Institution of Electrical Engineers. Power Systems & Equipment Professional Network., eds. 3rd IEE International Conference on Reliability of Transmission and Distribution Networks (RTDN 2005): 15-17 February 2005. London: IEE, 2005.

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Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution Network Reliability. Elsevier, 2016. http://dx.doi.org/10.1016/c2013-0-19155-6.

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Meng, Xiangping, and Zhaoyu Pian. Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution and Network Reliability. Elsevier Science & Technology Books, 2015.

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IEEE Industry Applications Society. Power Systems Reliability Subcommittee. and IEEE Standards Board, eds. IEEE recommended practice for the design of reliable industrial and commercial power systems. New York: Institute of Electrical and Electronics Engineers, 1998.

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Pattern Recognition For Reliability Assessment Of Water Distribution Networks. CRC Press, 2012.

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Trifunovic, N. Pattern Recognition for Reliability Assessment of Water Distribution Networks: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2012.

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Trifunovic, N. Pattern Recognition for Reliability Assessment of Water Distribution Networks: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2012.

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Engineers, Institution of Electrical. 3rd Iee International Conference on Reliability of Transmission and Distribution Networks (Rtdn 2005): 15-17 February 2005. Institution of Electrical Engineers, 2005.

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Book chapters on the topic "Distribution network reliability"

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Li, Dongdong, and Yun Wang. "Evaluation of Distribution Network Reliability Based on Network Equivalent." In Advanced Electrical and Electronics Engineering, 139–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19712-3_17.

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Koelle, Edmundo. "Energy Audit of a Water System Network." In Improving Efficiency and Reliability in Water Distribution Systems, 191–211. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-017-1841-7_8.

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Goulter, I. C., K. Awumah, and S. Bhatt. "Optimising Water Distribution Network Design Using Entropy Surrogates for Network Reliability." In Entropy and Energy Dissipation in Water Resources, 239–59. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2430-0_13.

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Mishra, Ashish, Ishan Sharma, and Rakesh Mehrotra. "Optimal Design of Water Distribution Network by Reliability Considerations." In Lecture Notes in Civil Engineering, 17–29. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6695-4_3.

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Agarwal, Umesh, Naveen Jain, Manoj Kumawat, and Sri Niwas Singh. "An Assessment Procedure for Distribution Network Reliability Considering Load Growth." In Lecture Notes in Electrical Engineering, 51–63. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6970-5_5.

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Zeng, Ying, Yuhang Chen, and Zanhong Wu. "Virtual Network Resource Allocation Algorithm Based on Reliability and Distribution Strategy Under Network Slicing." In Proceedings of the 11th International Conference on Computer Engineering and Networks, 1435–42. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6554-7_158.

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Chen, Zhigao, and Renyan Jiang. "Four Extensions of Poisson Distribution: Properties and Different Methods of Estimation." In Stochastic Models in Reliability, Network Security and System Safety, 475–88. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0864-6_25.

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Pavani, P., and S. N. Singh. "Reliability Evaluation of Distribution System with Network Reconfiguration and Distributed Generations." In Sustainable Power Systems, 61–87. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2230-2_4.

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Goulter, Ian C. "Assessing the Reliability of Water Distribution Networks Using Entropy Based Measures of Network Redundancy." In Entropy and Energy Dissipation in Water Resources, 217–34. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2430-0_12.

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Wang, Peng, and Lalit Goel. "Power Distribution System Reliability Evaluation Using Both Analytical Reliability Network Equivalent Technique and Time-sequential Simulation Approach." In Springer Series in Reliability Engineering, 145–72. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-213-9_7.

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Conference papers on the topic "Distribution network reliability"

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Zhang, Peng, and Wenyuan Li. "Reliability-oriented distribution network reconfiguration." In 2010 Innovative Smart Grid Technologies (ISGT). IEEE, 2010. http://dx.doi.org/10.1109/isgt.2010.5434769.

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Ying He. "Reliability of distribution network components." In 20th International Conference and Exhibition on Electricity Distribution (CIRED 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1025.

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Zhang, Ran, Ling-zhu Zhang, Yong Li, and Lin Lv. "Distribution Network Reliability Considering Weather and Distribution Generation." In 2012 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2012. http://dx.doi.org/10.1109/appeec.2012.6307499.

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Jose, Joel, and Anupama Kowli. "Network Expansion for Improved Reliability in Distribution Networks." In 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2018. http://dx.doi.org/10.1109/appeec.2018.8566464.

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Paulinder, J. "Reliability analysis of distribution network investments." In 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013). Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.1061.

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Jain, Tanmay, Debomita Ghosh, and Dusmanta Kumar Mohanta. "Elevation of Distribution Network Reliability Incorporating Network Reconfiguration." In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019. http://dx.doi.org/10.1109/i2ct45611.2019.9033582.

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Kamps, Kristof, Fabian Mohrke, Markus Zdrallek, Philipp Awater, and Michael Schwan. "Reliability of Decentralized Network Automation Systems and Impacts on Distribution Network Reliability." In 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2020. http://dx.doi.org/10.1109/pmaps47429.2020.9183449.

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Liang, Dong, Chaoyun Qin, Shuyuan Wang, and Haomin Guo. "Reliability Evaluation of DC Distribution Power Network." In 2018 China International Conference on Electricity Distribution (CICED). IEEE, 2018. http://dx.doi.org/10.1109/ciced.2018.8592284.

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Trietsch, E. A., and G. A. M. Mesman. "Effect of Valve Failures on Network Reliability." In Eighth Annual Water Distribution Systems Analysis Symposium (WDSA). Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40941(247)30.

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Aliyari, Mostafa, Vahid Baghshani, and Abass Barabadi. "Reliability performance analysis in power distribution system using Weibull distribution-A case study." In 18th Electric Power Distribution Network Conference. IEEE, 2013. http://dx.doi.org/10.1109/epdc.2013.6565967.

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Reports on the topic "Distribution network reliability"

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Weiss, Gideon. Stochastic Bounds on Distributions of Optimal Value Functions with Applications to Pert, Network Flows and Reliability,. Fort Belvoir, VA: Defense Technical Information Center, July 1985. http://dx.doi.org/10.21236/ada170778.

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