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Journal articles on the topic 'Electric power distribution – Zimbabwe'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Durham, Robert A., and Thomas R. Brinner. "Oilfield Electric Power Distribution." IEEE Transactions on Industry Applications 51, no. 4 (July 2015): 3532–47. http://dx.doi.org/10.1109/tia.2015.2388858.

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2

Shea, J. J. "Electric Power Distribution [Book Review]." IEEE Electrical Insulation Magazine 21, no. 6 (November 2005): 42. http://dx.doi.org/10.1109/mei.2005.1541495.

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3

DADE, THOMAS B. "Advanced Electric Propulsion, Power Generation, and Power Distribution." Naval Engineers Journal 106, no. 2 (March 1994): 83–92. http://dx.doi.org/10.1111/j.1559-3584.1994.tb02824.x.

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4

Kato, Kenta, and Masayuki Morimoto. "Power Distribution of Hybrid Electric Vehicles." IEEJ Transactions on Industry Applications 131, no. 5 (2011): 766–67. http://dx.doi.org/10.1541/ieejias.131.766.

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5

Ward, D. J. "Electric Power Distribution Handbook - [Book Review." IEEE Power and Energy Magazine 3, no. 4 (July 2005): 60–61. http://dx.doi.org/10.1109/mpae.2005.1458231.

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6

Petina, David A., Michael Murphy, and Andrew C. Gross. "Electric Power Transmission and Distribution Equipment." Business Economics 46, no. 4 (October 2011): 249–59. http://dx.doi.org/10.1057/be.2011.22.

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7

Zhou, Hua Ren, Yue Hong Qian, Ze Qing Yao, and Zi Sen Mao. "Research on Electric Power Distribution Method." Applied Mechanics and Materials 373-375 (August 2013): 2288–91. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.2288.

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According to the unit price, the section capacity section and the data of ramp rate, in accordance with the electricity market rules, the pushing method and optimal search model of the next time the output of the unit distribution plan are established.

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8

Shea, J. J. "Electric Power Distribution Handbook [Book Review]." IEEE Electrical Insulation Magazine 21, no. 1 (January 2005): 60. http://dx.doi.org/10.1109/mei.2005.1389282.

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9

Silva, Fernando A. "Electric Power: Distribution Emergency Operation [Book News]." IEEE Industrial Electronics Magazine 13, no. 1 (March 2019): 60–61. http://dx.doi.org/10.1109/mie.2019.2893469.

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10

Marcos, Antonio, and Jose Roberto Sanches. "Integrated planning of electric power distribution networks." IEEE Latin America Transactions 7, no. 2 (June 2009): 203–10. http://dx.doi.org/10.1109/tla.2009.5256830.

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11

Chinomona, Richard, and Marius Pretorius. "Major dealers' expert power in distribution channels." South African Journal of Economic and Management Sciences 14, no. 2 (June 6, 2011): 170–87. http://dx.doi.org/10.4102/sajems.v14i2.50.

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The importance of major dealers’ expertise in distribution channels and effects on exchange relations is widely acknowledged by many SMEs in Africa and yet there seem to be a paucity of research on this matter. To address this dearth, the current study attempts to examine the impact of major dealers’ expert power on SME manufacturers’ channel cooperation and the mediating influence of their trust, relationship commitment and satisfaction. The conceptualized model and five hypotheses are empirically validated using a sample of 452 manufacturing SMEs in Zimbabwe. The findings indicate that major dealers’ expert power may influence SME manufacturers’ trust, relationship commitment, relationship satisfaction and channel cooperation in a significant way. Managerial implications of the research findings are provided.

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12

Yu. F. Romaniuk, Yu F., О. V. Solomchak, and М. V. Hlozhyk. "Improving the efficiency of oilfield electric power distribution." Oil and Gas Power Engineering, no. 2(32) (December 27, 2019): 79–87. http://dx.doi.org/10.31471/1993-9868-2019-2(32)-79-87.

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The issues of increasing the efficiency of electricity transmission to consumers with different nature of their load are considered. The dependence of the efficiency of the electric network of the oil field, consisting of a power line and a step-down transformer, on the total load power at various ratios between the active and reactive components of the power is analyzed, and the conditions under which the maximum transmission efficiency can be ensured are determined. It is shown by examples that the power transmission efficiency depends not only on the active load, but also largely on its reactive load. In the presence of a constant reactive load and an increase in active load, the total power increases and the power transmission efficiency decreases. In the low-load mode, the schedule for changing the power transmission efficiency approaches a parabolic form, since the influence of the active load on the amount of active power loss decreases, and their value will mainly depend on reactive load, which remains unchanged. The efficiency reaches its maximum value provided that the active and reactive components of the power are equal. In the case of a different ratio between them, the efficiency decreases. With a simultaneous increase in active and reactive loads and a constant value of the power factor, the power transmission efficiency is significantly reduced due to an increase in losses. With a constant active load and an increase in reactive load, efficiency of power transmission decreases, since with an increase in reactive load, losses of active power increase, while the active power remains unchanged. The second condition, under which the line efficiency will be maximum, is full compensation of reactive power. Therefore, in order to increase the efficiency of power transmission, it is necessary to compensate for the reactive load, which can reduce the loss of electricity and the cost of its payment and improve the quality of electricity. Other methods are also proposed to increase the efficiency of power transmission by regulating the voltage level in the power center, reducing the equivalent resistance of the line wires, optimizing the loading of the transformers of the step-down substations and ensuring the economic modes of their operation.

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13

Davidson, Rachel A., Haibin Liu, Isaac K. Sarpong, Peter Sparks, and David V. Rosowsky. "Electric Power Distribution System Performance in Carolina Hurricanes." Natural Hazards Review 4, no. 1 (February 2003): 36–45. http://dx.doi.org/10.1061/(asce)1527-6988(2003)4:1(36).

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14

Koç, Yakup, Abhishek Raman, Martijn Warnier, and Tarun Kumar. "Structural vulnerability analysis of electric power distribution grids." International Journal of Critical Infrastructures 12, no. 4 (2016): 311. http://dx.doi.org/10.1504/ijcis.2016.081299.

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15

Warnier, Martijn, Tarun Kumar, Yakup Koç, and Abhishek Raman. "Structural vulnerability analysis of electric power distribution grids." International Journal of Critical Infrastructures 12, no. 4 (2016): 311. http://dx.doi.org/10.1504/ijcis.2016.10002321.

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16

Muscas, Carlo. "Power quality monitoring in modern electric distribution systems." IEEE Instrumentation & Measurement Magazine 13, no. 5 (October 2010): 19–27. http://dx.doi.org/10.1109/mim.2010.5585070.

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17

Muscas, Carlo, Marco Pau, Paolo Pegoraro, and Sara Sulis. "Smart electric energy measurements in power distribution grids." IEEE Instrumentation & Measurement Magazine 18, no. 1 (February 2015): 17–21. http://dx.doi.org/10.1109/mim.2015.7016676.

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18

Valerio, Antonio. "Visualization System Integrated for Electric Power Distribution Networks." IEEE Latin America Transactions 8, no. 6 (December 2010): 728–33. http://dx.doi.org/10.1109/tla.2010.5688102.

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19

Carnero, María Carmen, and Andrés Gómez. "Maintenance strategy selection in electric power distribution systems." Energy 129 (June 2017): 255–72. http://dx.doi.org/10.1016/j.energy.2017.04.100.

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20

Diamenu, Godwin. "Statistical Analysis of Electric Power Distribution Grid Outages." European Journal of Engineering and Technology Research 6, no. 3 (April 12, 2021): 27–33. http://dx.doi.org/10.24018/ejers.2021.6.3.2406.

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Power systems in general supply consumers with electrical energy as economically and reliably as possible. Reliable electric power systems serve customer loads without interruptions in supply voltage. Electric power generation facilities must produce enough power to meet customer demand. Electrical energy produced and delivered to customers through generation, transmission and distribution systems, constitutes one of the largest consumers markets the world over. The benefits of electric power systems are integrated into the much faster modern life in such extent that it is impossible to imagine the society without the electrical energy. The rapid growth of electric power distribution grids over the past few decades has resulted in a large increment in the number of grid lines in operation and their total length. These grid lines are exposed to faults as a result of lightning, short circuits, faulty equipment, mis-operation, human errors, overload, and aging among others. A fault implies any abnormal condition which causes a reduction in the basic insulation strength between phase conductors or phase conductors and earth, or any earthed screens surrounding the conductors. In this paper, different types of faults that affected the electric power distribution grid of selected operational districts of Electricity Company of Ghana (ECG) in the Western region of Ghana was analyzed and the results presented. Outages due to bad weather and load shedding contributed significantly to the unplanned outages that occurred in the medium voltage (MV) distribution grid. Blown fuse and loose contact faults were the major contributor to unplanned outages in the low voltage (LV) electric power distribution grid.

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21

Chamoso, Pablo, Fernando De La Prieta, and Gabriel Villarrubia. "Intelligent system to control electric power distribution networks." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 4, no. 4 (December 22, 2015): 1–8. http://dx.doi.org/10.14201/adcaij20154418.

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The use of high voltage power lines transport involves some risks that may be avoided with periodic reviews as imposed by law in most countries. The objective of this work is to reduce the number of these periodic reviews so that the maintenance cost of power lines is also reduced. To reduce the number of transmission towers (TT) to be reviewed, a virtual organization (VO) based system of agents is proposed in conjunction with different artificial intelligence methods and algorithms. This system is able to propose a sample of TT from a selected set to be reviewed and to ensure that the whole set will have similar values without needing to review all the TT. As a result, the system provides a software solution to manage all the review processes and all the TT of Spain, allowing the review companies to use the application either when they initiate a new review process for a whole line or area of TT, or when they want to place an entirely new set of TT, in which case the system would recommend the best place and the best type of structure to use.

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22

Singh, Bhim, Ambrish Chandra, Kamal Al-Haddad, Anuradha, and D. P. Kothari. "Reactive power compensation and load balancing in electric power distribution systems." International Journal of Electrical Power & Energy Systems 20, no. 6 (August 1998): 375–81. http://dx.doi.org/10.1016/s0142-0615(98)00008-8.

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23

NISHIHARA, Osamu, and Takuma KUMAZAWA. "330 Electric Power Conservation by Driving/Braking Force Distribution in Electric Vehicle." Proceedings of the Dynamics & Design Conference 2010 (2010): _330–1_—_330–6_. http://dx.doi.org/10.1299/jsmedmc.2010._330-1_.

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24

Oyetunji S.A., Oyetunji S. A. "Adaptability of Distribution Automation System to Electric Power Quality Monitoring In Nigeria Power Distribution Network." IOSR Journal of Electrical and Electronics Engineering 6, no. 1 (2013): 14–21. http://dx.doi.org/10.9790/1676-0611421.

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25

Mustafa, Sameer, Mohammed Yasen, and Hussein Abdullah. "Evaluation of Electric Energy Losses in Kirkuk Distribution Electric System Area." Iraqi Journal for Electrical and Electronic Engineering 7, no. 2 (December 1, 2011): 144–50. http://dx.doi.org/10.37917/ijeee.7.2.10.

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Correct calculations of losses are important for several reasons. There are two basic methods that can be used to calculate technical energy losses, a method based on subtraction of metered energy purchased and metered energy sold to customers and a method based on modeling losses in individual components of the system. For considering the technical loss in distribution system included: transmission line losses, power transformer losses, distribution line losses and low-voltage transformer losses. This work presents an evaluation of the power losses in Kirkuk electric distribution system area and submit proposals and appropriate solutions and suggestions to reduce the losses. A program under Visual Basic was designed to calculate and evaluate electrical energy losses in electrical power systems.

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26

Romero, Natalia, Linda K. Nozick, Ian Dobson, Ningxiong Xu, and Dean A. Jones. "Seismic Retrofit for Electric Power Systems." Earthquake Spectra 31, no. 2 (May 2015): 1157–76. http://dx.doi.org/10.1193/052112eqs193m.

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This paper develops a two-stage stochastic program and solution procedure to optimize the selection of seismic retrofit strategies to increase the resilience of electric power systems against earthquake hazards. The model explicitly considers the range of earthquake events that are possible and, for each, an approximation of the distribution of damage experienced. This is important because electric power systems are spatially distributed and so their performance is driven by the distribution of component damage. We test this solution procedure against the nonlinear integer solver in LINGO 13 and apply the formulation and solution strategy to the Eastern Interconnection, where seismic hazard stems from the New Madrid seismic zone.

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27

Olajuyin, E. A., and Olubakinde Eniola. "MICROGRID IN POWER DISTRIBUTION SYSTEM." International Journal of Research -GRANTHAALAYAH 7, no. 8 (July 23, 2020): 387–93. http://dx.doi.org/10.29121/granthaalayah.v7.i8.2019.687.

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Power is a very important instrument to the development of economy of a nation and it must be stable and available and to meet the demand of the consumers at all times. The quest for power supply has introduced a new technology called microgrid. Micro grids are regarded as small power systems that confine electric energy generating facilities, from both renewable energy sources and conventional synchronous. Generators, and customer loads with respect to produced electric energy. It can be connected to grid or operate in islanding mode. On the other hand, the grid’s dynamics and its stability rely on the amount of stored energy in the micro grid. In a conventional power system with a large number of synchronous generators as the main sources of energy, the mechanical energy in the generators’ rotors, in the form of kinetic energy, serves as the stored energy and feeds the grids in the event of any drastic load changes or if disturbances occur. Microgrid is an alternative idea to support the grid, it can be applied in a street, estates, community or a locality (towns and villages), organizations and establishments. Load forecasting can be further extended to Organizations, Local Government, State and country to determine the energy consumption.

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28

Wang, Feng, Hu Zhong, Zi-Lin Ma, Xiao-Jian Mao, and Bin Zhuo. "Power Distribution and Coordinated Control for a Power Split Hybrid Electric Bus." Journal of Electrical Engineering and Technology 3, no. 4 (December 1, 2008): 593–98. http://dx.doi.org/10.5370/jeet.2008.3.4.593.

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29

YASUDA, KENJI. "Superconducting Technology for Electric Power System: Superconducting Power Transmission and Distribution Equipment." Journal of the Institute of Electrical Engineers of Japan 124, no. 7 (2004): 405–10. http://dx.doi.org/10.1541/ieejjournal.124.405.

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30

Yang, Zijiang, Payman Dehghanian, and Mostafa Nazemi. "Seismic-Resilient Electric Power Distribution Systems: Harnessing the Mobility of Power Sources." IEEE Transactions on Industry Applications 56, no. 3 (May 2020): 2304–13. http://dx.doi.org/10.1109/tia.2020.2972854.

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31

Biscaro, A. A. P., R. A. F. Pereira, M. Kezunovic, and J. R. S. Mantovani. "Integrated Fault Location and Power-Quality Analysis in Electric Power Distribution Systems." IEEE Transactions on Power Delivery 31, no. 2 (April 2016): 428–36. http://dx.doi.org/10.1109/tpwrd.2015.2464098.

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32

Goh, Hui Hwang, Sy yi Sim, Dahir Khere Diblawe, Mortar Mohamed Ali, Chin Wan Ling, Qing Shi Chua, and Kai Chen Goh. "Energy Power Plant in Electric Power Distribution Systems Equipping With Distance Protection." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 1 (October 1, 2017): 192. http://dx.doi.org/10.11591/ijeecs.v8.i1.pp192-198.

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<p>This paper suggests the theory of distance protection criteria in power distribution systems for power plant generation. Multi-developed countries have energy power plants that placed in remote areas which are far from the grid line. Hence, they should be coupled to the low power transportation systems necessarily. While higher-rating relays are adopted to preserve feeders at power substations, fuses are merely obtainable outside on feeder channel. The safe system process, space protection is dispatched to save feeders. In this review, feeders with distance relays are equipped, together with over-current protection relays and fuses. Energy power plant having distance protection system is designed the implemented system was a 6-MW unit of compressed power energy reproduction. The sample feeder was shortened to be equal four-bus experiment feeder for transmitting resolution. The fault currents have chances adopted to form protecting regions of distance relays. Protection of the power line through the designed power plants for distance relaying can decrease problem in relay location because of the impedance-based location of the distance relay. </p>

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33

Menchafou, Youssef, Mustapha Zahri, Mohamed Habibi, and Hassane El Markhi. "Optimal load distribution estimation for fault location in electric power distribution systems." Archives of Electrical Engineering 66, no. 1 (March 1, 2017): 77–87. http://dx.doi.org/10.1515/aee-2017-0006.

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Abstract Accurate fault location in an electric power distribution system (EPDS) is important in maintaining system reliability. Diverse methods have been proposed in the past. These methods whither require measurements at each load point or use single-step loads compensation, which is hardly available in practical uses. In this paper, a simple technique to bypass the load problems is proposed. The method requires calculating an optimal load distribution using the total load seen from the substation (The rated power of distribution transformers) and the network topology. The optimal load distribution is used as a fictive distribution to replace the real unknown one in fault location (FL) algorithms. The effectiveness of the proposed technique is demonstrated using a mathematical formulation first, and next, by several simulations with a classic iterative fault location algorithm. The test results are obtained from the numerical simulation using the data of a distribution line recognized in the literature.

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34

Hua, Y. P., G. W. Lan, and Y. L. Du. "MULTI-SCALE SPATIAL MODELLING OF ELECTRIC POWER DISTRIBUTION NETWORKS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 8, 2020): 1121–25. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-1121-2020.

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Abstract. The research proposes a multi-scale spatial data model of electric power distribution networks (EPDNs) to address the problem that the single-scale EPDN data cannot meet the needs of data representation and spatial analysis of multiple levels of detail (LODs). This study comprehensively analyses the equipment used in the EPDN, summarizes the detailed information of EPDN elements and constructs a reasonable EPDN structure system. Based on the analysis of a large number of use cases in the operation and maintenance field of EPDN, this research identifies the elements of the graphic data and attribute data relating to the EPDN. According to the needs of different users and different application modes of EPDN data in multi-scale data representation, the EPDN data models are divided into four LODs, and the simplification principle of constructing different LODs is put forward and the elements contained in each LOD are carefully modelled. This study divides the EPDN elements information into graphic attribute and functional attribute, and then the attribute information of the EPDN data models in different LODs is described in detail. In addition, the EPDN data of Yan Shan campus of Guilin University of Technology is modelled with the proposed method, which has achieved good visualization results.

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35

Meinecke, Steffen, Leon Thurner, and Martin Braun. "Review of Steady-State Electric Power Distribution System Datasets." Energies 13, no. 18 (September 15, 2020): 4826. http://dx.doi.org/10.3390/en13184826.

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Publicly available grid datasets with electric steady-state equivalent circuit models are crucial for the development and comparison of a variety of power system simulation tools and algorithms. Such algorithms are essential to analyze and improve the integration of distributed energy resources (DERs) in electrical power systems. Increased penetration of DERs, new technologies, and changing regulatory frameworks require the continuous development of the grid infrastructure. As a result, the number and versatility of grid datasets, which are required in power system research, increases. Furthermore, the used grids are created by different methods and intentions. This paper gives orientation within these developments: First, a concise overview of well-known, publicly available grid datasets is provided. Second, background information on the compilation of the grid datasets, including different methods, intentions and data origins, is reviewed and characterized. Third, common terms to describe electric steady-state distribution grids, such as representative grid or benchmark grid, are assembled and reviewed. Recommendations for the use of these grid terms are made.

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36

Xu, Sheng You, Min You Chen, Neal Wade, and Ran Li. "Reliability Evaluation of Electric Power System Containing Distribution Generation." Advanced Materials Research 383-390 (November 2011): 3472–78. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.3472.

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The application of renewable energy in electric power system is growing rapidly due to enhanced public concerns for adverse environmental impacts and escalation in energy costs associated with the use of conventional energy sources, distribution generation (DG) is recognized as an encouraging and cost effective generation source both in large grid connected systems and small isolated applications. Power output from distribution generation is not readily controllable. High distribution generation penetration can lead to high-risk levels in power system reliability and stability. In order to maintain the system reliability and stability, this paper presents a probabilistic evaluation method that can incorporate the impacts on reliability of new energy utilization in electric power systems. Two procedures designated as equivalent simplifying method and the islanded reliability calculating method are proposed and discussed. In the equivalent simplifying method, the equivalent failure rate and failure during time for a given system at a specified reliability level is determined using system equivalent simplifying. In the islanded probability calculating method, the islanded probability at a load point for a given system containing distribution generation is calculated. The analysis results of example show that the probabilistic evaluation method is feasible for the operator to decide the appreciate capability and detailed location of possible distribution generation in electric power systems, and consequently a desired level of reliability is obtained.

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37

Tica, Dragoljub, Aleksandra Vidović, and Andrej Kurtović. "Optimal number of employees in electric power distribution companies." Serbian Journal of Engineering Management 2, no. 2 (2017): 13–24. http://dx.doi.org/10.5937/sjem1701013t.

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38

Cossi, A. M., R. Romero, and J. R. S. Mantovani. "Planning and Projects of Secondary Electric Power Distribution Systems." IEEE Transactions on Power Systems 24, no. 3 (August 2009): 1599–608. http://dx.doi.org/10.1109/tpwrs.2009.2021208.

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39

van der Gracht, P., and R. Donaldson. "Communication Using Pseudonoise Modulation on Electric Power Distribution Circuits." IEEE Transactions on Communications 33, no. 9 (1985): 964–74. http://dx.doi.org/10.1109/tcom.1985.1096406.

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40

Mishra, M., and P. K. Modi. "Performance improvement of Electric Power Distribution System Using DG." Distributed Generation & Alternative Energy Journal 31, no. 4 (September 2016): 50–68. http://dx.doi.org/10.1080/21563306.2016.11781080.

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41

Nazaruddin, Mahalla, Fauzi, Maimun, Subhan, Said Abubakar, and Sayed Aiyub. "Reliability Analysis of 20 KV Electric Power Distribution System." IOP Conference Series: Materials Science and Engineering 854 (July 2, 2020): 012007. http://dx.doi.org/10.1088/1757-899x/854/1/012007.

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42

Kwoka, John E. "Electric power distribution: economies of scale, mergers, and restructuring." Applied Economics 37, no. 20 (November 10, 2005): 2373–86. http://dx.doi.org/10.1080/00036840500309247.

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43

Liu, Yang, Liam Wotherspoon, Nirmal-Kumar C. Nair, and Daniel Blake. "Quantifying the seismic risk for electric power distribution systems." Structure and Infrastructure Engineering 17, no. 2 (March 6, 2020): 217–32. http://dx.doi.org/10.1080/15732479.2020.1734030.

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44

Olivares-Galvan, Juan Carlos, Rafael Escarela-Perez, Pavlos S. Georgilakis, and Issouf Fofana. "Evaluation of distribution transformer banks in electric power systems." International Transactions on Electrical Energy Systems 23, no. 3 (December 30, 2011): 364–79. http://dx.doi.org/10.1002/etep.665.

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45

Oren, Shmuel S., and Joseph A. Doucet. "Interruption insurance for generation and distribution of electric power." Journal of Regulatory Economics 2, no. 1 (March 1990): 5–19. http://dx.doi.org/10.1007/bf00139359.

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46

Allerhand, Adam. "A Contrarian History of Early Electric Power Distribution [History]." IEEE Industry Applications Magazine 27, no. 1 (January 2021): 9–19. http://dx.doi.org/10.1109/mias.2020.3028630.

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47

Reiman, Andrew P., Thomas E. McDermott, Murat Akcakaya, and Gregory F. Reed. "Electric Power Distribution System Model Simplification Using Segment Substitution." IEEE Transactions on Power Systems 33, no. 3 (May 2018): 2874–81. http://dx.doi.org/10.1109/tpwrs.2017.2753100.

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48

Wan, Fei, Pratik Madhika, Justin Chwa, Mohammad Mozumdar, and Alireza Ameri. "Automatic Optimal Synthesis of Aircraft Electric Power Distribution System." International Journal of Computing and Digital Systems 9, no. 3 (May 1, 2020): 363–75. http://dx.doi.org/10.12785/ijcds/090303.

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49

Resener, Mariana, Panos M. Pardalos, and Sérgio Haffner. "Special issue on “Optimization in electric power distribution systems”." Energy Systems 9, no. 3 (April 17, 2018): 469–71. http://dx.doi.org/10.1007/s12667-018-0290-z.

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50

Glukhan'kov, V. P. "Electric power production and some principles of its distribution." Hydrotechnical Construction 23, no. 12 (December 1989): 706–7. http://dx.doi.org/10.1007/bf01440337.

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