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Journal articles on the topic 'Electrical Networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

Yan, Linjuan, Bin Bao, Daniel Guyomar, and Mickaël Lallart. "Periodic structure with interconnected nonlinear electrical networks." Journal of Intelligent Material Systems and Structures 28, no. 2 (July 28, 2016): 204–29. http://dx.doi.org/10.1177/1045389x16649448.

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This article aims at investigating the filtering abilities of periodic structures with nonlinear interconnected synchronized switch damping on inductor electrical networks. Periodic structures without electrical networks themselves naturally have the function of filtering since the structure response breaks into pass bands and stop bands when the structure is excited by an external force with multiple or varying frequencies. Introduction of linear electrical networks in the periodic structure makes stop bands of the structure wider than that of the structure without electrical networks. However, nonlinear piezoelectric electrical networks may have better effect on the mechanical wave attenuation than linear piezoelectric electrical networks in terms of frequency band. Therefore, this article proposes a piezoelectric periodic structure with nonlinear interconnected synchronized switch damping on short-circuit/synchronized switch damping on inductor electrical network. A transfer matrix formulation including the interconnected electrical network is also proposed for deriving the characteristics of elastic wave propagation. The results show that the proposed technique permits enhancing the damping abilities in particular frequency bands compared to electrically independent periodic cells, which, combined with structural tailoring, would allow achieving high damping performance.

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2

Brown, O. R. "Electrical networks." Electrochimica Acta 38, no. 4 (March 1993): 626. http://dx.doi.org/10.1016/0013-4686(93)85025-t.

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3

Sharp, A. A., L. F. Abbott, and E. Marder. "Artificial electrical synapses in oscillatory networks." Journal of Neurophysiology 67, no. 6 (June 1, 1992): 1691–94. http://dx.doi.org/10.1152/jn.1992.67.6.1691.

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1. We use an electronic circuit to artificially electrically couple neurons. 2. Strengthening the coupling between an oscillating neuron and a hyperpolarized, passive neuron can either increase or decrease the frequency of the oscillator depending on the properties of the oscillator. 3. The result of electrically coupling two neuronal oscillators depends on the membrane potentials, intrinsic properties of the neurons, and the coupling strength. 4. The interplay between chemical inhibitory synapses and electrical synapses can be studied by creating both chemical and electrical synapses between two cultured neurons and by artificially strengthening the electrical synapse between the ventricular dilator and one pyloric dilator neuron of the stomatogastric ganglion.

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4

Vingron, Martin, and Michael S. Waterman. "Alignment networks and electrical networks." Discrete Applied Mathematics 71, no. 1-3 (December 1996): 297–309. http://dx.doi.org/10.1016/s0166-218x(96)00070-4.

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5

Zemanian, A. H. "Transfinite electrical networks." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 46, no. 1 (1999): 59–70. http://dx.doi.org/10.1109/81.739185.

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6

Marinov, Corneliu A., and Gheorghe Moroşanu. "Consistent models for electrical networks with distributed parameters." Mathematica Bohemica 117, no. 2 (1992): 113–22. http://dx.doi.org/10.21136/mb.1992.125904.

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7

Rücker, Gerta. "Network meta-analysis, electrical networks and graph theory." Research Synthesis Methods 3, no. 4 (September 25, 2012): 312–24. http://dx.doi.org/10.1002/jrsm.1058.

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8

Sharma, Shalini, Bhupendra Kumar Pathak, and Rajiv Kumar. "Understanding of Network Resiliency in Communication Networks with its Integration in Internet of Things - A Survey." Electrica 23, no. 2 (April 5, 2023): 318–28. http://dx.doi.org/10.5152/electrica.2023.22126.

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9

KLYUEV, R. V., V. I. GOLIK, I. I. BOSIKOV, and O. A. GAVRINA. "DEVELOPMENT OF METHODS FOR ENSURING ELECTRICAL SAFETY OF ELECTRIC NETWORKS OF QUARRIES." News of the Tula state university. Sciences of Earth 3, no. 1 (2020): 74–91. http://dx.doi.org/10.46689/2218-5194-2020-3-1-74-91.

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The paper presents the results of a study of the state of isolation of quarry networks with a voltage higher than 1000 V, which is a mandatory requirement for periodic inspection of all electrical devices and equipment at mining enterprises to ensure electrical safety. A method of comparative assessment of the isolation level of quarry networks has been developed, which includes a number of parameters as input data, such as the total length of electrically connected cable and overhead lines, respectively, the number of excavators, transformer substations and switch points in the quarry network. The method allows you to compare the average total conductivity of individual, newly introduced network elements or the average total conductivity of the modified network as a whole with the actual conductivity of the quarry network as a whole, developed over the entire period of operation of the quarry. The paper presents practical results of the study of the state of isolation of individual sections of the 6 kV network of the quarry, allowing for their comparative analysis using an accurate method that takes into account all the parameters of the electrical network and a simplified calculation method, taking into account the allowed 10% error in determining the equivalent length of the cable network. The obtained results can be used in the analysis of insulation condition of the electrical network at the various enterprises of the mining industry.

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10

Wang, Tao, Xiaoguang Wei, Tao Huang, Jun Wang, Luis Valencia-Cabrera, Zhennan Fan, and Mario J. Pérez-Jiménez. "Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids." Complexity 2019 (March 13, 2019): 1–15. http://dx.doi.org/10.1155/2019/7428458.

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Communication networks as smart infrastructure systems play an important role in smart girds to monitor, control, and manage the operation of electrical networks. However, due to the interdependencies between communication networks and electrical networks, once communication networks fail (or are attacked), the faults can be easily propagated to electrical networks which even lead to cascading blackout; therefore it is crucial to investigate the impacts of failures of communication networks on the operation of electrical networks. This paper focuses on cascading failures in interdependent systems from the perspective of cyber-physical security. In the interdependent fault propagation model, the complex network-based virus propagation model is used to describe virus infection in the scale-free and small-world topologically structured communication networks. Meanwhile, in the electrical network, dynamic power flow is employed to reproduce the behaviors of the electrical networks after a fault. In addition, two time windows, i.e., the virus infection cycle and the tripping time of overloaded branches, are considered to analyze the fault characteristics of both electrical branches and communication nodes along time under virus propagation. The proposed model is applied to the IEEE 118-bus system and the French grid coupled with different communication network structures. The results show that the scale-free communication network is more vulnerable to virus propagation in smart cyber-physical grids.

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11

Purslow, E. J. "Synthesis of Electrical Networks." Electronics and Power 31, no. 8 (1985): 598. http://dx.doi.org/10.1049/ep.1985.0367.

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12

WATSON, E. J. "Infinite regular electrical networks." European Journal of Applied Mathematics 16, no. 05 (January 11, 2006): 555. http://dx.doi.org/10.1017/s0956792505006327.

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13

Neyrinck, Jacques. "Synthesis of electrical networks." Signal Processing 10, no. 3 (April 1986): 325. http://dx.doi.org/10.1016/0165-1684(86)90112-x.

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14

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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15

Browning, Leo A., William Watterson, Erica Happe, Savannah Silva, Roberto Abril Valenzuela, Julian Smith, Marissa P. Dierkes, Richard P. Taylor, Natalie O. V. Plank, and Colleen A. Marlow. "Investigation of Fractal Carbon Nanotube Networks for Biophilic Neural Sensing Applications." Nanomaterials 11, no. 3 (March 4, 2021): 636. http://dx.doi.org/10.3390/nano11030636.

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We propose a carbon-nanotube-based neural sensor designed to exploit the electrical sensitivity of an inhomogeneous fractal network of conducting channels. This network forms the active layer of a multi-electrode field effect transistor that in future applications will be gated by the electrical potential associated with neuronal signals. Using a combination of simulated and fabricated networks, we show that thin films of randomly-arranged carbon nanotubes (CNTs) self-assemble into a network featuring statistical fractal characteristics. The extent to which the network’s non-linear responses will generate a superior detection of the neuron’s signal is expected to depend on both the CNT electrical properties and the geometric properties of the assembled network. We therefore perform exploratory experiments that use metallic gates to mimic the potentials generated by neurons. We demonstrate that the fractal scaling properties of the network, along with their intrinsic asymmetry, generate electrical signatures that depend on the potential’s location. We discuss how these properties can be exploited for future neural sensors.

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16

Otsuka, Takeshi, and Yasuo Kawaguchi. "Common excitatory synaptic inputs to electrically connected cortical fast-spiking cell networks." Journal of Neurophysiology 110, no. 4 (August 15, 2013): 795–806. http://dx.doi.org/10.1152/jn.00071.2013.

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Cortical fast-spiking (FS) interneurons are electrically interconnected through gap junctions and form dendritic net structures extending over different functional columns. Here we investigated how pyramidal cells regulate FS cell network activity. Using paired recordings and glutamate puff stimulations, we found that FS cell pairs connected by electrical synapses shared common inputs from surrounding pyramidal cells more frequently than those unconnected or connected only by chemical synapses. Experimental and simulation results suggest that activity spread evoked by common inputs to electrically connected FS cells depends on network state. When cells were in the depolarized state, common inputs to electrically connected cells enhanced spike induction and induced inhibitory effects in surrounding FS cells. By contrast, in the hyperpolarized state, either sub- or suprathreshold inputs produced depolarizing potentials in nearby cells. Our results suggest that globally connected FS cell networks are locally regulated by pyramidal cells in an electrical connection- and network state-dependent manner.

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17

Tran, Cam Ha T., Edward J. Vigmond, Daniel Goldman, France Plane, and Donald G. Welsh. "Electrical communication in branching arterial networks." American Journal of Physiology-Heart and Circulatory Physiology 303, no. 6 (September 15, 2012): H680—H692. http://dx.doi.org/10.1152/ajpheart.00261.2012.

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Electrical communication and its role in blood flow regulation are built on an examination of charge movement in single, isolated vessels. How this process behaves in broader arterial networks remains unclear. This study examined the nature of electrical communication in arterial structures where vessel length and branching were varied. Analysis began with the deployment of an existing computational model expanded to form a variable range of vessel structures. Initial simulations revealed that focal endothelial stimulation generated electrical responses that conducted robustly along short unbranched vessels and to a lesser degree lengthened arteries or branching structures retaining a single branch point. These predictions matched functional observations from hamster mesenteric arteries and support the idea that an increased number of vascular cells attenuate conduction by augmenting electrical load. Expanding the virtual network to 31 branches revealed that electrical responses increasingly ascended from fifth- to first-order arteries when the number of stimulated distal vessels rose. This property enabled the vascular network to grade vasodilation and network perfusion as revealed through blood flow modeling. An elevation in endothelial-endothelial coupling resistance, akin to those in sepsis models, compromised this ascension of vasomotor/perfusion responses. A comparable change was not observed when the endothelium was focally disrupted to mimic disease states including atherosclerosis. In closing, this study highlights that vessel length and branching play a role in setting the conduction of electrical phenomenon along resistance arteries and within networks. It also emphasizes that modest changes in endothelial function can, under certain scenarios, impinge on network responsiveness and blood flow control.

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18

Eysa, Mohamed H., Ahmed A. Zaki Diab, and Ibrahim A. Nassar. "Solar Cell Effects on Electrical Power Networks." International Journal of Emerging Technology and Advanced Engineering 12, no. 7 (July 4, 2022): 1–9. http://dx.doi.org/10.46338/ijetae0722_01.

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Recently, interest in solar energy has increased for many reasons, however, connecting solar power stations in distribution networks may cause many problems, so it was necessary to study the impact of connecting photovoltaic systems to distribution networks to provide solutions feasible in practice. This study includes analyzing the performance of a solar power plant with a capacity of 17.2 kWh connected to the low voltage network of the distribution networks according to Egyptian PV-LV code-2014, simulation using MATLAB/Simulink, and cost analysis for connecting SSPV 17.2 kW to LV distribution networks. The system model was built on MATLAB/Simulink and simulated under daily weather conditions to test the system's operational performance. Power quality parameters are measured using C.A. 8336 power quality analyzer at the inverter output side for the PV system at the Minya Electricity Distribution Sector in Minya Governorate, Egypt. The system produces a 29.314 MWh and reaches its initial cost in 7.2 years. The electrical energy produced by the system is directly injected into the low voltage network for loads of the Minya Electricity Distribution Sector building without batteries or storage devices (on-grid).

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19

Yamnenko, Ju, Yu Khokhlov, and O. Redko. "DYNAMIC ROUTING OF WIRELESS ELECTRICAL SENSORS BASED ON NEURAL NETWORKS." Tekhnichna Elektrodynamika 2016, no. 4 (June 14, 2016): 98–100. http://dx.doi.org/10.15407/techned2016.04.098.

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20

Naumov, I. V., S. V. Podyachikh, D. A. Ivanov, A. N. Tretyakov, M. A. Yakupova, and E. S. Fedorinova. "The 0.38 kV electrical networks unbalancing operating modes optimization." IOP Conference Series: Earth and Environmental Science 990, no. 1 (February 1, 2022): 012069. http://dx.doi.org/10.1088/1755-1315/990/1/012069.

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Abstract The equipment 0.38 kV low-voltage electrical networks is not a satisfactory level. Such electric networks operating modes management is carrying out save energy measures and electricity supply improve efficiency in general largely allows. As a result, the electric energy supplied parameters obtaining actual nature information about to consumers through these electric networks is the developing the power transmission requirements measures basis comply. The article presents results current unbalancing modes objective studies in 0.38 kV an electrical network that feeds Irkutsk multi-storey residential building electric consumers. The analysis electric energy parameters, power quality indicators changes as well as electricity lo sses caused by the currents unbalance in the studied electric network are presented. The calculate parameters and using results of balancing device efficiency as well as its influence on the quality indicators studied and electrical energy loss in the studied electrical network are presented.

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21

Rodriguez, Rusber, German Alfonso Osma Pinto, Javier Enrique Solano Martínez, Robin Roche Robin Roche, and Daniel Hissel. "A Framework for the Resilience of LV Electrical Networks with Photovoltaic Power Injection." Tecnura 25, no. 70 (October 1, 2021): 71–89. http://dx.doi.org/10.14483/22487638.18629.

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Context: Electrical distribution networks have undergone several changes in the last decade. Some changes include incorporating distributed energy sources, such as solar photovoltaic (PV) generation systems. It could modify the performance of the electrical network and leads to new challenges such as evaluating the impacts of the PV integration, the response to electrical and climatic disturbances, and the planning and restructuring of networks. Electrical network behavior versus PV integration could be evaluated by quantifying the variation in operation and including network resilience. Objective: Propose a reference framework to evaluate the resilience of LV electrical networks with PV power injection. Methodology: This paper addresses the framework for evaluating the performance of a low voltage (LV) electrical network in the face of the integration of PVs. It collects research related to evaluating the resilience of electrical networks on severe climate changes, natural disasters, and typical maneuvers. Then, it proposes a guideline to evaluate the performance of LV electrical networks with the integration of PV generation sources and includes resilience. For this, the determination of resilience evaluation indices is proposed. The indices are obtained from a normalized transformation of the measurable electrical parameters of the networks. The parameters are those that present the most affected by PV integration or are significant in the performance of the networks. Finally, it presents the evaluation of a proposed resilience index for a university building LV network as a case study. Results: The resilience assessment proposal is applied to a case study. When evaluating the resilience of the voltage at the common coupling point of the PV, an index of 0.84 is obtained, equivalent to 59.8 hours of overvoltage. Conclusions: It is possible to improve the resilience of the BT network through management strategies. In the case study, a 29% reduction in overvoltage hours was obtained by applying a curtailment strategy to the PV system. Financing: ECOS-Nord, Minciencias and Universidad Industrial de Santander.

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22

Kazymov, Ivan M., and Boris S. Kompaneets. "A Model of Voltage Distribution and Change of Current in the Network Containing Unaccounted Electricity Consumption." Vestnik MEI, no. 6 (2021): 91–99. http://dx.doi.org/10.24160/1993-6982-2021-6-91-99.

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The aim of the study is control of commercial losses in electrical grids, especially in low voltage grids, which is one of the priority lines of activities conducted by electric network companies. The complexity of solving this problem is stemming from the difficulty of exactly locating the commercial loss occurrence place under the conditions of extensively branched low and medium voltage electrical networks. Various methods are currently used to determine the commercial loss occurrence places. However, no effective methods have been created for determining the fact and place of unaccounted electricity consumption in networks under the conditions of performing remote analysis of networks based on the data from modern electricity meters used in the automated fiscal electricity metering system. These difficulties can be overcome by developing a model of voltage distribution and change of current in distribution networks of the 0.4--35 kV nominal voltage levels. A model of voltage distribution and changes of current for a network containing unaccounted electricity consumption is proposed. The effectiveness of using the proposed model has been theoretically substantiated; its applicability limits are defined, and the accuracy of the obtained results is estimated. Graphical representation of the proposed model, which is one of the electrical network digital imaging forms, can be used to analyze electrical networks for revealing if there is unaccounted electricity consumption in them. By using the proposed model of voltage distribution and change of current in the network, it is possible to represent the electrical network as a set of electrical parameters to analyze electrical networks for the presence of commercial losses.

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23

SHANKARANARAYANAN, N. K., and KAM Y. LAU. "ELECTRICAL SUBCARRIER-MULTIPLE-ACCESS FOR LIGHTWAVE NETWORKS." International Journal of High Speed Electronics and Systems 03, no. 02 (June 1992): 235–60. http://dx.doi.org/10.1142/s0129156492000096.

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Multiplexing of information on microwave carriers, whose frequencies are within the direct modulation and detection bandwidths of semiconductor lasers and photoreceivers, can be used to provide multiple concurrent channels for lightwave networks in multiaccess applications. This is in effect an electrical multiplexing scheme applied to optical systems which is referred to as “Subcarrier Frequency-Division Multiple Access” (SFDMA). This paper provides an introduction to this subject, which includes discussions on factors that determine the performance of such a network as well as network architecture issues.

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24

Lam, Thomas, and Pavlo Pylyavskyy. "Electrical networks and Lie theory." Algebra & Number Theory 9, no. 6 (September 7, 2015): 1401–18. http://dx.doi.org/10.2140/ant.2015.9.1401.

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25

Looney, Ryan, and Lianwen Wang. "Resistances of Infinite Electrical Networks." International Journal of Applied Mathematical Research 10, no. 2 (August 11, 2021): 22. http://dx.doi.org/10.14419/ijamr.v10i2.31603.

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It is interesting to find the equivalent resistance between two nodes of an infinite electrical network. In this paper, we consider an infinite electrical network that can be described as a series of squares whose edges are resistors with resistance $R$ and whose corresponding vertices are joined successively by resistors with resistance $R$ as well. Our major work is to find the equivalent resistance between the diagonal vertices of the base square of this infinite network. First, we apply the techniques of balanced bridges and symmetry of voltages to convert each iteration of the network to a parallel circuit that includes the previous iteration. Then, we evaluate the equivalent resistance of each iteration of the network and derive a recursive sequence of equivalent resistances with iterations. After that, we prove that the recursive sequence is convergent using the contraction theorem in real analysis. Finally, we claim that the limit of the recursive sequence is the equivalent resistance of the infinite network.

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26

Lutz, Bob. "Matroids arising from electrical networks." Advances in Applied Mathematics 137 (June 2022): 102331. http://dx.doi.org/10.1016/j.aam.2022.102331.

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27

Lam, Thomas. "Fall Sampler: Electrical Resistor Networks." Notices of the American Mathematical Society 63, no. 08 (September 1, 2016): 875–76. http://dx.doi.org/10.1090/noti1420.

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28

Burioni, R., D. Cassi, and F. M. Neri. "Electrical networks onn-simplex fractals." Journal of Physics A: Mathematical and Theoretical 40, no. 41 (September 25, 2007): 12397–408. http://dx.doi.org/10.1088/1751-8113/40/41/009.

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29

Whitaker, J. F., and G. A. Mourou. "Optical reconfiguration of electrical networks." Electronics Letters 22, no. 17 (1986): 899. http://dx.doi.org/10.1049/el:19860613.

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30

Denardo, Bruce, John Earwood, and Vera Sazonova. "Experiments with electrical resistive networks." American Journal of Physics 67, no. 11 (November 1999): 981–86. http://dx.doi.org/10.1119/1.19176.

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31

Zemanian, A. H. "Infinite electrical networks: a reprise." IEEE Transactions on Circuits and Systems 35, no. 11 (1988): 1346–58. http://dx.doi.org/10.1109/31.14459.

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32

Bulka, B. R. "Magnetoconductance of small electrical networks." Journal of Physics: Condensed Matter 1, no. 12 (March 27, 1989): 2217–24. http://dx.doi.org/10.1088/0953-8984/1/12/006.

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33

Zemanian, A. H. "Transfinite graphs and electrical networks." Transactions of the American Mathematical Society 334, no. 1 (January 1, 1992): 1–36. http://dx.doi.org/10.1090/s0002-9947-1992-1066452-1.

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34

Tjur, Tue. "Block Designs and Electrical Networks." Annals of Statistics 19, no. 2 (June 1991): 1010–27. http://dx.doi.org/10.1214/aos/1176348134.

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35

Narraway, J. J. "Probability, graphs and electrical networks." IEE Proceedings G Circuits, Devices and Systems 140, no. 5 (1993): 347. http://dx.doi.org/10.1049/ip-g-2.1993.0057.

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36

Lutz, Bob. "Electrical networks and hyperplane arrangements." Advances in Applied Mathematics 110 (September 2019): 375–402. http://dx.doi.org/10.1016/j.aam.2019.07.003.

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37

Shustov, V. G. "Energy Systems and Electrical Networks." Power Technology and Engineering 41, no. 2 (March 2007): 114–16. http://dx.doi.org/10.1007/s10749-007-0025-0.

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38

Harper, L. H. "Morphisms for resistive electrical networks." Discrete Applied Mathematics 163 (January 2014): 181–93. http://dx.doi.org/10.1016/j.dam.2013.01.021.

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39

Goldman, J. R., and L. H. Kauffman. "Knots, Tangles, and Electrical Networks." Advances in Applied Mathematics 14, no. 3 (September 1993): 267–306. http://dx.doi.org/10.1006/aama.1993.1015.

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40

Narayanan, H. "Topological transformations of electrical networks." International Journal of Circuit Theory and Applications 15, no. 3 (July 1987): 211–33. http://dx.doi.org/10.1002/cta.4490150303.

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41

Zemanian, Armen H. "Permissively structured transfinite electrical networks." Circuits, Systems, and Signal Processing 18, no. 6 (November 1999): 587–609. http://dx.doi.org/10.1007/bf01269918.

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42

D., OSTRENKO, and KOLLAROV O. "Intelligent diagnostics of electrical networks." Journal of Electrical and power engineering 27, no. 2 (November 28, 2022): 63–67. http://dx.doi.org/10.31474/2074-2630-2022-2-63-67.

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As follows from the conducted analysis [1-2], artificial intelligence has a great impact on modern energy as a whole, and it has also reached the electric power sector, especially "intelligent" networks with a high degree of automation, which closely interact with renewable energy sources. Here, artificial intelligence has gained widespread use in order to predict the level of illumination of a photovoltaic panel and estimate the output power of solar power plants. Considering the fact that artificial intelligence is a powerful and popular tool that is widely used in renewable energy (in particular, in photovoltaic), it is important to understand to what extent this tool can be used when creating a forecast of the generation of electrical energy at the output of a photovoltaic plant. It is becoming clear that with the help of artificial intelligence, it is necessary to increase both energy efficiency and accuracy values in the power grid, since electronic computing machines can process more data than an operator can in a given time period. When diagnosing the quality of electrical energy in a photovoltaic plant, it is important to observe certain provisions, namely: - adequate, for a specific task, the time of control. As a rule, this parameter must be installed in the system in advance; – determination of the number of electrical equipment and/or power system nodes for monitoring; – assignment of the limit level of parameters for measurement; – the choice of the method for performing the analysis of the measured data; – choosing the type and location for saving the received data, also here it is worth providing for compatibility with other devices in the electrical network, for example, control or signaling devices. In order to indicate the main tasks for the diagnostics system in the photovoltaic plant, which will include artificial intelligence, a structural diagram was created that indicates what tasks must be done in each link of the electrical network. It is worth noting that the structure of the diagnostic system can be divided into several components according to their physical location in the system under study. So, for example, sensors are responsible for all data collection in the power grid. Of greater interest are the links that perform monitoring in the power grid, as well as develop conclusions based on the conducted monitoring and accumulate databases for decision-making. An artificial neural network is responsible for fulfilling these requirements, and its data set for training and retraining can serve as a database.

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Zhao, Sicheng, and Zuqing Zhu. "On Virtual Network Reconfiguration in Hybrid Optical/Electrical Datacenter Networks." Journal of Lightwave Technology 38, no. 23 (December 1, 2020): 6424–36. http://dx.doi.org/10.1109/jlt.2020.3016775.

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44

Benzergua, Fadela, Abdelkader Chaker, and Naima Khalfallah. "Optimization of Reactive Power in Large Electrical Networks: Algerian Network." Information Technology Journal 5, no. 4 (June 15, 2006): 703–8. http://dx.doi.org/10.3923/itj.2006.703.708.

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45

KOTYSH, Andrii, Ivan SAVELENKO, and Kateryna PETROVA. "THE EXCESSIVE TECHNICAL LOSSES OF ELECTRICITY IN ELECTRICAL SYSTEMS OF POWER CONSUMPTION." Herald of Khmelnytskyi National University. Technical sciences 315, no. 6 (December 29, 2022): 69–73. http://dx.doi.org/10.31891/2307-5732-2022-315-6(2)-69-73.

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Reducing electricity losses in electrical networks is a complex complex problem that requires significant capital investments necessary for optimizing the development of electrical networks, improving the electricity accounting system, introducing new information technologies in marketing activities and managing network modes, training personnel and equipping them with means of testing measuring devices etc. In reality, in recent years, in connection with the inclusion of normative losses in the tariff for electric energy transmission services, a dangerous trend of adapting these norms to actual losses has emerged. The article analyzes the occurrence of power losses in electrical engineering systems and electrical networks of various voltage classes. Special attention is paid to the so-called excess losses, which are not taken into account during design and operation. These losses occur in insulators, linear fittings, current-limiting reactors, electricity meters, windings of current and voltage transformers, etc. Excessive losses of electricity in electric networks are direct financial losses of electric power companies. Savings from reducing losses could be directed to technical re-equipment of networks; staff salary increase; improvement of the organization of electricity transmission and distribution; increasing the reliability and quality of electricity supply to consumers. Unaccounted losses reach approximately 1% of the total amount. This fact must be taken into account. Because currently we are talking about millions of losses.

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46

Forcey, Stefan. "Circular Planar Electrical Networks, Split Systems, and Phylogenetic Networks." SIAM Journal on Applied Algebra and Geometry 7, no. 1 (March 10, 2023): 49–76. http://dx.doi.org/10.1137/22m1473844.

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Zaitsev, I. O., I. V. Blinov, V. O. Bereznychenko, and S. A. Zakusilo. "Line electrical transmission damage identification tool in distributors electrical networks." IOP Conference Series: Earth and Environmental Science 1254, no. 1 (October 1, 2023): 012036. http://dx.doi.org/10.1088/1755-1315/1254/1/012036.

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Abstract In the paper showing that one of the main way for Ukraine electric power industry evolution is electric power networks and systems improvement and construction considering Smart Grid concept. The main idea of Smart grid is the reliable, energy-efficient and high-quality energy supply system. To implement the idea, it is necessary to create a high-performance information and computing infrastructure. The main components of Smart Grid is emergency mode diagnostics and damage monitoring. Providing fault diagnostics and fault monitoring can improve the power supply reliability and quality to consumers. So, the task of quickly and accurately determining the place of damage is important. In the article showing that emergency detection tools in sections of both cable and overhead electrical networks it’s a way to improve efficiency of the networks. The diagram of the placement of damage indicators on the section of the electrical distribution network is presented, which allows determining the direction of the search for the location of the damage. A comparative analysis of measuring current transformers of optical and electromagnetic type was carried out. It is shown that a significant number of advantages of optical measuring current transformers, which can be used in damage indicators, can be provided by measuring current transformers of the electromagnetic type. Creating fault indicator based on the Smart Grid concept lets do to reduce searching time for the cause and location of an emergency situation to a minimum. In this concept application fault indicator in energy grid ensure it connection to operating overhead and cable lines without removing voltage by connecting the output of the secondary winding of the measuring current transformer of the detachable design to the measuring converters directly placed near the current measuring transformers with the help of a mechanical spring fastener. A block diagram of a specialized information-measuring system with a damage indicator was created, taking into account the requirements of the Smart Grid concept, which allows to reduce the time of searching for the cause to a minimum.

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LENCZNER, MICHEL, and GHOUTI SENOUCI-BEREKSI. "HOMOGENIZATION OF ELECTRICAL NETWORKS INCLUDING VOLTAGE-TO-VOLTAGE AMPLIFIERS." Mathematical Models and Methods in Applied Sciences 09, no. 06 (August 1999): 899–932. http://dx.doi.org/10.1142/s0218202599000415.

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We derive the homogenized model of periodic electrical networks which includes resistive devices, voltage-to-voltage amplifiers, sources of tension and sources of current. On the one hand, in considering the homogenized problem, general conditions are stated insuring the existence and uniqueness of the solution. They are formulated in function of the network topology. On the other hand, the two-scale transformation introduced by Arbogast, Douglas and Hornung is adapted to the context of electrical networks. New two-scale. convergence results, inspired by the principle of Allaire's two-scale convergence, are shown in this context. In particular, the two-scale convergence for the tangential derivative on a network is established. Following these results, two models of homogenized networks are derived. The first one belongs to a general framework whereas the second one does not.

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TANG, S. W., L. WANG, R. J. CAI, X. H. CAI, Z. HE, and E. CHEN. "THE EVALUATION OF ELECTRICAL IMPEDANCE OF THREE-DIMENSIONAL FRACTAL NETWORKS EMBEDDED IN A CUBE." Fractals 25, no. 04 (July 25, 2017): 1740005. http://dx.doi.org/10.1142/s0218348x17400059.

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This paper presents a preliminary work to evaluate the electrical impedance of three-dimensional pore fractal networks embedded in a cube. The construction and structural parameters of pore and electrical networks are illustrated in detailed. The total impedance response (modulus and phase) of networks is primarily associated with structural parameter of network, pore structure parameter of cube, conductivity of pore and solid phases. The impedance response of cube with the evolution of fractal network is analyzed comprehensively in this work. Besides, the influence of conductivity of pore phase caused by different types of electrolytes, electrical frequencies and conductivity of solid phase on the total impedance response is systematically studied.

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Mehrabbeik, Mahtab, Fatemeh Parastesh, Janarthanan Ramadoss, Karthikeyan Rajagopal, Hamidreza Namazi, and Sajad Jafari. "Synchronization and chimera states in the network of electrochemically coupled memristive Rulkov neuron maps." Mathematical Biosciences and Engineering 18, no. 6 (2021): 9394–409. http://dx.doi.org/10.3934/mbe.2021462.

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<abstract> <p>Map-based neuronal models have received much attention due to their high speed, efficiency, flexibility, and simplicity. Therefore, they are suitable for investigating different dynamical behaviors in neuronal networks, which is one of the recent hottest topics. Recently, the memristive version of the Rulkov model, known as the m-Rulkov model, has been introduced. This paper investigates the network of the memristive version of the Rulkov neuron map to study the effect of the memristor on collective behaviors. Firstly, two m-Rulkov neuronal models are coupled in different cases, through electrical synapses, chemical synapses, and both electrical and chemical synapses. The results show that two electrically coupled memristive neurons can become synchronous, while the previous studies have shown that two non-memristive Rulkov neurons do not synchronize when they are coupled electrically. In contrast, chemical coupling does not lead to synchronization; instead, two neurons reach the same resting state. However, the presence of both types of couplings results in synchronization. The same investigations are carried out for a network of 100 m-Rulkov models locating in a ring topology. Different firing patterns, such as synchronization, lagged-phase synchronization, amplitude death, non-stationary chimera state, and traveling chimera state, are observed for various electrical and chemical coupling strengths. Furthermore, the synchronization of neurons in the electrical coupling relies on the network's size and disappears with increasing the nodes number.</p> </abstract>

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