Journal articles on the topic 'Distribution network reliability'

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1

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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2

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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3

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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4

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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7

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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8

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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9

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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10

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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11

Tian, Yayun, Daotian Zhang, and Huping Yang. "Reliability Analysis of 10kv Distribution Network Supply." IOP Conference Series: Materials Science and Engineering 381 (August 16, 2018): 012130. http://dx.doi.org/10.1088/1757-899x/381/1/012130.

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12

Boboev, Kh D., Yu I. Averyanov, A. V. Bogdanov, and I. L. Kravchuk. "ISOLATION CONTROL IN THE “TARROR” QUARRY DISTRIBUTION NETWORK." Bulletin of the South Ural State University series "Power Engineering" 21, no. 4 (2021): 57–65. http://dx.doi.org/10.14529/power210407.

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The reliability and operation safety of electrical equipment, as well as the level of electrical and fire safety at mining enterprises are directly related to the state of electrical networks insulation, and particularly the value of the total insulation resistance relative to the ground. Controlling these parameters in the electrical equipment operation allows increasing the efficiency and reliability of such equipment. The paper concentrates on the current problem of selecting methods to monitor the isolation parameters of the network phases relative to the ground in the distribution electric networks with an isolated neutral. It briefly describes “Zeravshan” joint venture, the isolation control system developed for it and the results of its computer model based operability tests. Studies have shown that at rated load in the network, the error in determining the total insulation resistance is under 20%, which proves the operability of the proposed network phase isolation monitoring system relative to the ground. Thus, the implementation of the developed insulation parameter monitoring system in distribution networks operation will improve the reliability and safety of power supply.
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13

Palod, Nikita, Vishnu Prasad, and Ruchi Khare. "Reliability-based optimization of water distribution networks." Water Supply 22, no. 2 (October 22, 2021): 2133–47. http://dx.doi.org/10.2166/ws.2021.363.

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Abstract The water distribution system serves as a basic necessity for society. Due to its large size and involvement of various components, it is one of the most expensive civil infrastructures and thus demands optimization. Much work has been done to reduce the distribution system cost. However, with only one objective, the obtained solutions may not be practical to implement. Thus, improving cost along with the efficiency of the network is the demand of the hour. The present work introduces a unique parameter-less methodology for generating Pareto fronts without involving the concept of non-dominance. The methodology incorporates the Jaya optimization model for a bi-objective problem, one being the reduction in network cost and the other improving the reliability index of the network. The efficiency of the proposed work is analyzed for three different benchmark problems. The Jaya technique is found to be very efficient and fast when compared with the other evolutionary technique applied for the same networks. The parameter-less nature of the Jaya technique smooths the process to a very large extent as no synchronization of algorithm parameters is required.
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14

Agrawal, Praveen, Neeraj Kanwar, Nikhil Gupta, Khaleequr Rehman Niazi, Anil Swarnkar, Nand K. Meena, and Jin Yang. "Reliability and Network Performance Enhancement by Reconfiguring Underground Distribution Systems." Energies 13, no. 18 (September 10, 2020): 4719. http://dx.doi.org/10.3390/en13184719.

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Contemporary distributions are now going to underground their overhead distribution lines due to techno-social reasons. Reliability and loss reduction are the two prime objectives for distribution system operation. Since failure rates of ungrounded cables are the function of Joules heating besides their physical lengths, the reliability evaluation of undergrounded distribution systems needs to be reviewed. This paper suggested a suitable modification in existing reliability indices in order to make them more appropriate for underground distribution systems. A multi-objective network reconfiguration problem is formulated to enhance the reliability and performance of distribution systems while duly addressing the variability and uncertainty in load demand and power generation from renewables. The application results on a standard test bench shift the paradigm of the well-known conflicting nature of reliability and network performance indices defined for overhead distribution systems.
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15

Byk, F. L., Yu V. Kakosha, and L. S. Myshkina. "Reliability factor in the design of a distribution network." Power engineering: research, equipment, technology 22, no. 6 (March 26, 2021): 43–54. http://dx.doi.org/10.30724/1998-9903-2020-22-6-43-54.

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Decision-making at the design stage of the distribution network significantly affects the change in the indices of uninterrupted power supply to consumers. The main ones are SAIDI and SAIFI. There is no methodological support for determining the predicted values of the power supply continuity indices. The purpose of the study is to develop a methodology for calculating the predicted values of indicators of uninterrupted supply during design. A feature of the technique is the account of the circuit-mode changes in the 0.4-10 kV distribution network section. The introduction of the developed methodology into project practice is relevant and expedient. An important point is the accounting of distributed generation, which has a significant impact on the operating conditions of power supply systems. Local power systems based on distribution generation and networks 0,4-10 kv are becoming widespread, which can serve as the basis for distributed energy and energy transition in Russia. Their appearance increases the efficiency of the energy sector, including increasing the power supply reliability. However, difficulties arise in justifying distributed generation power distribution schemes, the feasibility of measures to create local power systems and the effectiveness of their integration without appropriate research and methodological support. The developed methodology is based on the use of statistical processing methods, expert systems, the SAIDI method. It is aimed at medium and low voltage distribution networks. The methodology makes it possible to compare measures taking into account changes in the structural and functional reliability of the distribution network and regime restrictions. Verification of the methodology was carried out on the example of a section of the distribution network of a residential neighborhood. Comparison of the results obtained by the methodology and in the software ETAP, proved the adequacy of the proposed methodology and the reliability of the predicted values obtained SAIDI and SAIFI.
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16

Augutis, J., E. Ušpuras, R. Krikštolaitis, and V. Matuzas. "Process Distribution in the Network Systems." Nonlinear Analysis: Modelling and Control 12, no. 2 (April 25, 2007): 181–89. http://dx.doi.org/10.15388/na.2007.12.2.14708.

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Performing risk analysis of systems, evaluating reliability of technological objects, hazard of technological processes, we usually have to systems of network type and distribution of various processes in such systems. A well-known mathematical apparatus of diffusive processes example is dispersion in continuum medium (air, water, etc.). Process distribution in network systems is simpler, however, it much depends on network features. In this article theory of Markov chains is selected, distributions of different processes in transitional regimes are analysed as well as issues of their stability. Created models may be used in many different ways, for example, for the analysis or viruses in computer networks, hazard distribution in transport systems regarding transportation of hazardous materials, etc.
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17

Ou, Yu Qiang, Le Feng Cheng, Jian Zhong Wen, Xuan Yu Qiu, and Tao Yu. "Research on Reliability Evaluation Methods of Distribution System." Applied Mechanics and Materials 672-674 (October 2014): 1441–46. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1441.

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Research on reliability of distribution network has very important meaning and function to ensure the quality of power supply. This paper introduces some basic concepts of reliability in distribution network, including distribution network reliability definition, task and index. The classical reliability evaluation method was reviewed, and focused on specific distribution network, an example analysis was given, and specific reliability evaluation indexes were calculated. Finally, the future development of distribution network reliability evaluation was made a simple prospect.
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18

Shushpanov, Ilia, Konstantin Suslov, Pavel Ilyushin, and Denis N. Sidorov. "Towards the Flexible Distribution Networks Design Using the Reliability Performance Metric." Energies 14, no. 19 (September 28, 2021): 6193. http://dx.doi.org/10.3390/en14196193.

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At present, the entire world is moving towards digitalization, including in the electric power industry. Digitalization is in its heyday and a lot of articles and reports are devoted to this topic. At the same time, the least digitalized of the electrical networks are distribution networks that account for a very large share in electric power systems. The article proposes a methodology for creating a flexible distribution network based on the use of digital technology. Additionally, we elaborate a methodology with the identification and collection of the necessary information to create digital networks, develop ways to adapt the required equipment, and suggest methods of recognition of some short circuits. Furthermore, we address the issue of reliability of the information obtained from digital devices, develop a technique for arranging the devices to cover the entire network as required to improve the power system protection of electrical power distribution networks. The above measures make it possible to ensure the flexibility of the active distribution network, as well as to adjust the parameters of the actuation of power system protection depending on changes in external conditions and in the event of emergencies. We propose a technique for controlling the distribution network, based on the factoring-in of the type of damage during an emergency in real time, as well as a technique for arranging the measuring devices and the creation of an information and communication network. We provide recommendations for the design and operation of electric power distribution networks with digital network control technology.
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19

Pang, Yan Jun, Qing Hao Wang, Chuan Bo Liu, Xiao Liu, and Tian Shi Wang. "A New Reliability Evaluating Method for Distribution Network." Applied Mechanics and Materials 392 (September 2013): 651–55. http://dx.doi.org/10.4028/www.scientific.net/amm.392.651.

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In order to improve the reliability evaluation to the distribution network, uncertainty factors about aging of components are considered under conventional reliability analysis of distribution system in the paper. The relationship between unavailability of aging of components and time (or limit age of components) is analyzed. Then the reliability indices are calculated by FMEA (Failure Mode and Effect Analysis). Finally distribution network reliability level is distinguished and the measures on improving the power distribution system reliability are presented.
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20

Aklog, D., and Y. Hosoi. "Reliability-based optimal design of water distribution networks." Water Supply 3, no. 1-2 (March 1, 2003): 11–18. http://dx.doi.org/10.2166/ws.2003.0080.

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Maintaining network loops, and hence attaining acceptable system reliability, has been a challenge in the optimal design of water distribution networks. Aimed at a possible solution to the problem, this paper has two objectives: to introduce a new reliability-based optimal design formulation and a model, and to examine the effect of specifying minimum allowable pipe sizes during least-cost designs on system reliability. System reliability is estimated using the minimum cut-set method, but instead of using the mechanical failure probabilities of pipes, weighted failure probabilities are calculated by considering the ratio of the actual supply to demand. One of the salient features of this study and the new reliability-based design model in particular, is that a pressure-driven network simulation model is used to determine the actual supply at each demand point when a component fails. A simplified two-loop network is used to illustrate the performance of the new model and to study the effect of specifying minimum allowable pipe sizes. The results obtained show that the new model preserves loops and results in a system with better reliability; and, if appropriate, minimum allowable pipe sizes are specified in the least-cost design, a required reliability can be attained with a reasonably low cost.
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21

Shenghui, Li, Sun Feng, Zhu Yu, and Bai Xue. "Reliability Evaluation Algorithm for Distribution Network with DG." IOP Conference Series: Earth and Environmental Science 281 (June 3, 2019): 012037. http://dx.doi.org/10.1088/1755-1315/281/1/012037.

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22

Du, Wei, Mengke Lu, and Deyi Li. "Distribution Network Planning with Comprehensive Economy and Reliability." IOP Conference Series: Materials Science and Engineering 486 (July 10, 2019): 012016. http://dx.doi.org/10.1088/1757-899x/486/1/012016.

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23

Carvalho, P. M. S., and L. A. F. M. Ferreira. "Urban Distribution Network Investment Criteria for Reliability Adequacy." IEEE Transactions on Power Systems 19, no. 2 (May 2004): 1216–22. http://dx.doi.org/10.1109/tpwrs.2003.821626.

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24

Zuo, Yue, Fei Zhao, Lianyong Zhu, and Shicheng Wang. "Rapid assessment method for reliability of distribution network." IOP Conference Series: Materials Science and Engineering 677 (December 10, 2019): 042063. http://dx.doi.org/10.1088/1757-899x/677/4/042063.

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25

Li, Jie, Shulin Wei, and Wei Liu. "Seismic reliability analysis of urban water distribution network." Earthquake Engineering and Engineering Vibration 5, no. 1 (June 2006): 71–77. http://dx.doi.org/10.1007/s11803-006-0628-8.

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26

Lakehal, Abdelaziz, and Fares Laouacheria. "Reliability based rehabilitation of water distribution networks by means of Bayesian networks." Journal of Water and Land Development 34, no. 1 (September 26, 2017): 163–72. http://dx.doi.org/10.1515/jwld-2017-0050.

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AbstractWater plays an essential role in the everyday lives of the people. To supply subscribers with good quality of water and to ensure continuity of service, the operators use water distribution networks (WDN). The main elements of water distribution network (WDN) are: pipes and valves. The work developed in this paper focuses on a water distribution network rehabilitation in the short and long term. Priorities for rehabilitation actions were defined and the information system consolidated, as well as decision-making. The reliability data were conjugated in decision making tools on water distribution network rehabilitation in a forecasting context. As the pipes are static elements and the valves are dynamic elements, a Bayesian network (static-dynamic) has been developed, which can help to predict the failure scenario regarding water distribution. A relationship between reliability and prioritization of rehabilitation actions has been investigated. Modelling based on a Static Bayesian Network (SBN) is implemented to analyse qualitatively and quantitatively the availability of water in the different segments of the network. Dynamic Bayesian networks (DBN) are then used to assess the valves reliability as function of time, which allows management of water distribution based on water availability assessment in different segments. Before finishing the paper by giving some conclusions, a case study of a network supplying a city was presented. The results show the importance and effectiveness of the proposed Bayesian approach in the anticipatory management and for prioritizing rehabilitation of water distribution networks.
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Zhou, Xue Song, Zhao Hao Hou, and You Jie Ma. "Overview of Distribution Network Automation Technology." Advanced Materials Research 811 (September 2013): 631–34. http://dx.doi.org/10.4028/www.scientific.net/amr.811.631.

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This paper proposes a general overview of distribution network automation technology. With the continuous development of society and economy, the distribution network automation has become the trend and developing direction of electric power system. As the end part of the electric power system, the distribution network is directly connected to the consumers and plays a vital role in improving the quality and reliability of power supply. In order to provide reference for improving the reliability of distribution network and to speed up the development of distribution network automation, this paper analyses the system structure, development status and trend of distribution network automation technology.
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28

Wu, Jianbin, Zheng Wang, Zhihong Gu, and Zhuo Liu. "Multi-attribute evaluation and deviation analysis of regional distribution network investment effect." E3S Web of Conferences 213 (2020): 03033. http://dx.doi.org/10.1051/e3sconf/202021303033.

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As the input ratio of regional distribution network increases year by year, higher requirements are put forward for high quality and high reliability of power consumption. Under this background, this paper involves 11 evaluation indexes from three dimensions of reliability, economy and environmental protection, and designs the evaluation index system of investment effect of regional distribution network. The multiattribute AHP-TOPSIS-entropy weight combination evaluation method for the investment effect of regional distribution networks is constructed. And select distribution network A, B, C area for example analysis, the results show that the n-1 pass rate, power supply reliability, power consumption growth and emission reduction of clean energy generation are positively correlated with the investment effect of regional distribution network.
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29

Shirzad, Akbar, and Massoud Tabesh. "New indices for reliability assessment of water distribution networks." Journal of Water Supply: Research and Technology-Aqua 65, no. 5 (June 16, 2016): 384–95. http://dx.doi.org/10.2166/aqua.2016.091.

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This paper presents new indices to evaluate the reliability of water distribution networks (WDNs) usable in the design, planning and management of these networks. Since the pressure-driven analysis (PDA) of WDNs produces more accurate results than the demand-driven analysis, the new indices are proposed based on the PDA. In the proposed measures, nodal pressures, nodal available discharges and the energy loss per unit length of pipes are considered as the main factors influencing the reliability of WDNs. The introduced network reliability index is a combination of two indices named total nodal reliability and total pipe reliability. These indices are equal to the weighted average of all of the nodal and pipe reliabilities, respectively. A sample network is used to evaluate the new proposed index and some of the available indices and to compare their efficiencies in assessing the reliability of WDNs. The results show that the new proposed index is more efficient and outperforms the others. The introduced index is normalized and is independent of the WDN size. This index considers the qualitative aspects of WDNs besides the hydraulic aspects in evaluating reliability.
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30

Yang, Jian Lin, Cong Gan Ma, Zhi Gang Lu, and Yang Bai. "Research on the Reliability of Distribution Network and its Influencing Factors." Applied Mechanics and Materials 490-491 (January 2014): 1661–65. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.1661.

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Distribution networks are directly connected to the users and the reliability of its power supply is able to reflect the structures and the operating conditions of the whole power system. In the analysis of distribution system reliability evaluation, it is unlikely to get the exact value of the model parameters and is necessary to consider the uncertainties. The network structure, the reliability parameters and load level and their effects on the reliability are studied in quantity and the results are proved in the case.
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31

Tavarov, Saidjon Sh, Aleksandr I. Sidorov, Rustam G. Valeev, and Ekatirina V. Zykina. "Estimation Method of the State of 6-10 kV Distribution Network." European Journal of Electrical Engineering 23, no. 2 (April 23, 2021): 95–101. http://dx.doi.org/10.18280/ejee.230202.

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The article analyzes the state of the elements of 6-10 kV distribution electrical networks in Dushanbe, showing the excess of reliability and efficiency indicators of the considered electrical networks from the permissible 10% values. For the first time, the factors influencing the reliability indicators of 6-10 kV electrical distribution network elements in Dushanbe were identified and a mathematical model of networks for determining the state of 6-10 kV electrical distribution network elements in Dushanbe was proposed. On the basis of them, an algorithm for monitoring the state of the elements of 6-10 kV electrical distribution networks in Dushanbe is proposed, which makes it possible to evaluate the efficiency of 6-10 kV distribution electrical networks in terms of undersupply of electricity - ΔW.
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32

Yan, Yuehao, Wei Bao, Shuai Gao, and Quan Wang. "Research on reliability evaluation of complex distribution network considering N-1 verification." Journal of Physics: Conference Series 2137, no. 1 (December 1, 2021): 012014. http://dx.doi.org/10.1088/1742-6596/2137/1/012014.

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Abstract With the rapid development of power system, the distribution network structure is gradually mature and the connection situation is more complex. The traditional distribution network reliability calculation method can not accurately calculate the reliability index of complex distribution network. Based on the traditional simple power supply reliability evaluation method of radial distribution network, this paper completely considers the influence of circuit breaker, tie switch, branch line, standby transformer and other equipment, and puts forward an improved network equivalence method model. The model first treats the complex distribution system in layers, and then gradually equates it into a simple radial distribution network to calculate the reliability of the system. At the same time, this paper analyzes the distribution network with multi connection structure in a provincial capital city. The results show that this model simplifies the complexity of distribution system reliability calculation, improves the accuracy and speed of reliability calculation, and more truly reflects the reliability of actual distribution system.
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33

Klochko, Aleksey, and Viktor Zhila. "Determination of high-pressure pipeline cyclization degree with exploratory technique." MATEC Web of Conferences 251 (2018): 03030. http://dx.doi.org/10.1051/matecconf/201825103030.

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The article examines the issues of determining the network configuration, which ensures the maximum reliability of the gas distribution system. Rationally designed configuration of the gas distribution network with the adopted gas supply scheme can provide reliable operation for a long time. Results are recommended to be used in the design of gas distribution networks, as well as in determining the reserve for improving the reliability of the network for the adopted gas supply scheme for users.
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Jiang, Shigong, Yunfei Wang, Dicheng Wang, Junjie Yin, Han Yan, and Jianhua Wang. "Reliability assessment of distribution network considering differentiated end-users demand for reliability." IOP Conference Series: Earth and Environmental Science 645 (January 26, 2021): 012026. http://dx.doi.org/10.1088/1755-1315/645/1/012026.

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35

Feng, Yu Qing, Jian Hua Yang, Lei Huang, Bin Ji, and Jian Su. "Intellectualization and Reliability Evaluation of Distribution Network Based on Principal Component Analysis." Applied Mechanics and Materials 672-674 (October 2014): 1400–1404. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1400.

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Principal component analysis is performed on the operation and management evaluation of smart distribution network because of its objectivity, synthesis and simplification to original data information. According to the demand on the evaluation that focuses on intellectualization and reliability of distribution network, an index system for intelligent and reliable evaluation is built. The performance indicators and the principal component analysis are used to analyze the intelligent and reliable level of distribution network operation and management. The feasibility of the evaluation index system is verified by the evaluation results of some distribution networks.
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36

Escalera, Alberto, Edgardo D. Castronuovo, Milan Prodanović, and Javier Roldán-Pérez. "Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management." Energies 12, no. 16 (August 20, 2019): 3202. http://dx.doi.org/10.3390/en12163202.

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Modern power distribution networks assume the connection of Distributed Generators (DGs) and energy storage systems as well as the application of advanced demand management techniques. After a network fault these technologies and techniques can contribute individually to the supply restoration of the interrupted areas and help improve the network reliability. However, the optimal coordination of control actions between these resources will lead to their most efficient use, maximizing the network reliability improvement. Until now, the effect of such networks with optimal coordination has not been considered in reliability studies. In this paper, DGs, energy storage and demand management techniques are jointly modelled and evaluated for reliability assessment. A novel methodology is proposed for the calculation of the reliability indices. It evaluates the optimal coordination of energy storage and demand management in order to reduce the energy-not-supplied during outages. The formulation proposed for the calculation of the reliability indices (including the modelling of optimal coordination) is described in detail. The methodology is applied to two distribution systems combining DGs, energy storage and demand management. Results demonstrate the capability of the proposed method to assess the reliability of such type of networks and emphasise the impact of the optimal coordination on reliability.
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Okorie, P. U. "An Outage of Overhead and Underground Distribution Network Evaluation Assessment." Applied Mechanics and Materials 752-753 (April 2015): 1127–32. http://dx.doi.org/10.4028/www.scientific.net/amm.752-753.1127.

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Frequent and major power interruptions cause many concerns. Assessment of customer power supply reliability is an important part of distribution operation and planning. Many factors are responsible in the reliability of power network; design, construction, operation and maintenance which have their combined effect to overall performance of power network reliability. Analysis of outage data from both OH and UG distribution system of Abuja network is carried out assess their reliability indices. Predictive assessment of distribution reliability indices can be used to identify areas that have poor reliability so that appropriate approach can be taken in the system design and implementation. This paper presents assessment of reliability indices in a practical radial distribution network particularly with the interest of comparison the reliability of OH and UG distribution system. UG is more reliable than OH but takes longer duration in fault restoration.
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Wang, Yu-Qing, Chao-Fan Zhou, Bin Jia, and Hua-Bing Zhu. "Reliability analysis of degradable networks with modified BPR." Modern Physics Letters B 31, no. 36 (December 13, 2017): 1750353. http://dx.doi.org/10.1142/s0217984917503535.

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In this paper, the effect of the speed limit on degradable networks with capacity restrictions and the forced flow is investigated. The link performance function considering the road capacity is proposed. Additionally, the probability density distribution and the cumulative distribution of link travel time are introduced in the degradable network. By the mean of distinguishing the value of the speed limit, four cases are discussed, respectively. Means and variances of link travel time and route one of the degradable road network are calculated. Besides, by the mean of performing numerical simulation experiments in a specific network, it is found that the speed limit strategy can reduce the travel time budget and mean travel time of link and route. Moreover, it reveals that the speed limit strategy can cut down variances of the travel time of networks to some extent.
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39

Zhao, Hong Shan, Song Chen, Ying Ying Wang, and Ying Wang. "Reliability Evaluation for Distribution System Considering the Access of Distributed Generations." Applied Mechanics and Materials 721 (December 2014): 355–59. http://dx.doi.org/10.4028/www.scientific.net/amm.721.355.

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The construction and operating mode of distribution network have changed due to the access of distributed generations (DGs), which has a deep influence on reliability evaluation. A new approach and the related analytical formulation is proposed in this paper to get a better evaluation for distribution network connected to DGs, after considering the fault reconstruction, switch type, DGs types and access locations, islands abundance probabilities and other factors. We propose a classification that includes various cases defined by the relative position of load points (LPs), faults, and switches, in networks with and without DGs. Taking IEEE RBTS BUS6 distribution system for example, the simulation results in the proposed method indicate that DGs improved the reliability for distribution network effectively.
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40

Kowalski, Dariusz, Beata Kowalska, Tomasz Bławucki, Paweł Suchorab, and Krzysztof Gaska. "Impact Assessment of Distribution Network Layout on the Reliability of Water Delivery." Water 11, no. 3 (March 7, 2019): 480. http://dx.doi.org/10.3390/w11030480.

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The process of shaping distribution network structures is one of the most fundamental design tasks, and determines the delivery certainty of media transported by them. It is especially crucial with reference to network elements of a critical character, such as roads or water supply, sewage, or electrical networks. In urban conditions, the geometric shaping of these structures has a quasi-chaotic character that is individual for each network and city. The complexity of these networks increases significantly with the size of a city, and therefore the evaluation of water delivery certainty is also a difficult issue. Despite many years of research, there is no universal method to evaluate this certainty. The objective of this paper is to present two original approaches: the number of minimal efficiency paths from a water source to reference consumption nodes, and the relation of this number to the fractal dimension of a network’s geometric structure. The developed methods were tested in the conditions of a few real water supply networks. The obtained results indicate that the analyzed methods can be used for the preliminary and relatively rapid evaluation of water delivery certainty.
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41

Kosso Moustapha, Attoumane, Noma Talibi Soumaila, Ousman Mahamadou, Brah Bouzou Moussa, and Boureima Seibou. "STUDY OF HTA DISTRIBUTION NETWORK RELIABILITYIN NIAMEYCITY." International Journal of Advanced Research 9, no. 12 (December 31, 2021): 169–77. http://dx.doi.org/10.21474/ijar01/13889.

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With the growth of demand for electrical energy, electrical networks are nowadays subjected to very high loads, sometimes beyond their capacity. This leads to their malfunction and their inability to meet expectations. But given the importance of electricity in our lives, this disruption cannot be tolerated for long, which leads distribution operators to implement maintenance programs to ensure continuity of service. However, these measures, although extremely important, are time consuming, costly and sometimes do not provide complete satisfaction, resulting in the absence of electricity to consumers. The study of reliability of medium voltage distribution network in Niamey allowed us to analyze the performance indices of latter. Indeed, we based ourselves on the number of incidents (opening of HV outlets) and their duration while taking into account the origin of the associated disturbances. In the light of this analysis, the reliability of lines is close to 95% only for a period of one (1) hour (h) and is almost zero beyond 100 hours of operation. As for maintainability, it is only guaranteed within a period of 10 hours after the occurrence of incident on network.
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42

Guan, Lin, Hao Hao Wang, and Sheng Min Qiu. "A Practical GIS-Based Reliability Estimation System for Large Scale Distribution Network." Advanced Materials Research 433-440 (January 2012): 1802–10. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.1802.

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A new algorithm as well as the software design for large-scale distribution network reliability assessment is proposed in this paper. The algorithm, based on fault traversal algorithm, obtains network information from the GIS. The structure of distribution network data storage formats is described, facilitating automatic output of the feeders’ topological and corresponding information from the GIS. Also the judgment of load transfer is discussed and the method for reliability assessment introduced in this paper. Moreover, The impact of the scheduled outage is taken into account in the assessment model, making the results more in accordance with the actual situation. Test Cases show that the proposed method features good accuracy and effectiveness when applied to the reliability assessment of large-scale distribution networks.
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43

Klochko, Aleksey, and Asmik Klochko. "Influence of the iteration step size to finding solutions." MATEC Web of Conferences 251 (2018): 03031. http://dx.doi.org/10.1051/matecconf/201825103031.

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The article considers the issues of obtaining a network configuration by the criterion of maximizing the reliability index. The rationally designed configuration of the gas distribution network for the selected gas supply scheme ensures reliable operation throughout the life of gas pipeline. The results are recommended in designing of gas distribution networks, as well as when determining the reserve for improving the reliability of the network for the adopted gas supply scheme for subscribers.
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Liu, Jun, Fan Yang, and Lijia Ren. "Study on Reliability Evaluation Method Based on Improved Monte Carlo Method." E3S Web of Conferences 64 (2018): 04008. http://dx.doi.org/10.1051/e3sconf/20186404008.

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The advancement in science and technology comes with continuously expanding power system scale, increasingly complex system operation condition and higher requirements for accuracy and speed of power system reliability evaluation, but actual calculation methods cannot meet the needs. Therefore, there is need to improve the reliability of conventional power distribution network so that requirements of calculation speed and calculation accuracy can be met. In this paper, reliability of the power distribution network will be evaluated using improved Monte Carlo method with uniform sampling. The average value is obtained through calculation of state of multiple sub-intervals and test functions, which effectively improves calculation accuracy, and further increases the utilization of random numbers. By improving the uniform sampling method, the Monte Carlo simulation variance is reduced, and evaluation and calculation efficiency is improved. At the same time, unqualified power grid is selected for analysis. Based on the simulation results, qualified power distribution networks are compared to point out where the requirements are not met. Also, comparative analysis is made on the effect of power distribution network grid structure etc. on the user’s power supply. Finally, suggestions for improving power distribution network reliability are given from equipment reliability, grid structure.
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45

Anteneh, Degarege, Baseem Khan, Om Prakash Mahela, Hassan Haes Alhelou, and Josep M. Guerrero. "Distribution network reliability enhancement and power loss reduction by optimal network reconfiguration." Computers & Electrical Engineering 96 (December 2021): 107518. http://dx.doi.org/10.1016/j.compeleceng.2021.107518.

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46

Afzal, Muhammad, Manuel S. Alvarez-Alvarado, Zafar A. Khan, and Mohammed Alghassab. "Composition Assessment of a Power Distribution System with Optimal Dispatching of Distributed Generation." International Journal of Renewable Energy Development 9, no. 3 (August 26, 2020): 455–66. http://dx.doi.org/10.14710/ijred.2020.31428.

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Increasing penetration of distributed generation (DG) is imminent in the new age of power distribution networks, which are smarter than the conventional grids. They enable the integration of DG into the power distribution network. This paper presents an assessment methodology for determining the optimal capacity and location of DG to ensure high reliability in a radial distribution network. The approach considers cost and the impact of aging on the DG and network topology for interconnection using genetic algorithm, which is a robust technique with wide solution space searchability and can potentially find global optima with fewer chances of getting trapped into local optima. A case study is simulated using three different scenarios to evaluate the impact of DG interconnection on the 13.8 kV power distribution network. The scenarios comprise of situations without any DG, with DG interconnection and optimization of DG interconnection. The case study shows that the penetration of DG increases the reliability of the distribution network while reducing the expected energy not supplied (EENS). Although, the difference between EENS in the optimized DG integration and non-optimized DG integration is not very significant in a small network, however, it becomes apparent with the aging curve that optimized allocation of DG possesses significant benefits.
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Li, Shenghui, Xue Bai, Xiaotong Zhang, Cailian Gu, and Zixuan Chen. "Reliability Analysis of Distribution Network with Distributed Power Supply." Journal of Physics: Conference Series 1518 (April 2020): 012010. http://dx.doi.org/10.1088/1742-6596/1518/1/012010.

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48

Yue, Chao, Qiumin Qi, Yu Wang, Bojun Wang, and Xilong Zhang. "Research on reliability evaluation method of active distribution network." IOP Conference Series: Materials Science and Engineering 563 (August 9, 2019): 052033. http://dx.doi.org/10.1088/1757-899x/563/5/052033.

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49

Giustolisi, Orazio. "Water Distribution Network Reliability Assessment and Isolation Valve System." Journal of Water Resources Planning and Management 146, no. 1 (January 2020): 04019064. http://dx.doi.org/10.1061/(asce)wr.1943-5452.0001128.

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50

Safdarian, Amir, Merkebu Z. Degefa, Mahmud Fotuhi-Firuzabad, and Matti Lehtonen. "Distribution network reliability improvements in presence of demand response." IET Generation, Transmission & Distribution 8, no. 12 (December 1, 2014): 2027–35. http://dx.doi.org/10.1049/iet-gtd.2013.0815.

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