Security-based critical power distribution feeder identification: Application of fuzzy BWM-VIKOR and SECA

Electricity is a necessary requirement for accelerating the economic development of any country and is considered an important input to improve quality of life. Electricity supply to consumer end is possible by the combine function of power generation, transmission and distribution instantly. One of the most chronic areas of power loss in power system is power distribution feeder. Loss in feeders are identified mainly due to overloaded conductors and transformers, long distance feeder, unbalance load on transformer, low power factor load, uses of energy inefficient load, hooking etc. The distribution losses which are more predominant can be categorized as technical losses and non-technical losses. The main target of the study is to improve the technical and overall efficiency of a distribution feeder. A high loss feeder is selected for efficiency study. Direct method of loss calculation is used to calculate total losses of the feeder and indirect method is used to find the technical losses on the feeder in existing condition. Technical losses of existing feeder and improvement on same distribution system through technical loss reduction options is analyzed by implementing the conductor replacement, rerouting and optimum capacitor placement (OCP) methods using electrical transient analyzer program (ETAP) simulation. Technical efficiency and overall efficiency for the different non-technical loss values are calculated and analyzed. Implementation of results will improve financial health of the power distribution company and provide reliable electricity supply to the consumers. In addition, it provides further inputs to energy planners and managers for a number of remedial measures to loss reduction and improvement of overall efficiency of the power distribution system.

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Harmonic and noise propagation on cascaded sections of a power distribution feeder

Proceedings of the 1998 Second IEEE International Caracas Conference on Devices, Circuits and Systems. ICCDCS 98. On the 70th Anniversary of the MOSFET and 50th of the BJT. (Cat. No.98TH8350) ◽

10.1109/iccdcs.1998.705876 ◽

2002 ◽

Author(s):

J.T. Gajjar

Keyword(s):

Power Distribution ◽

Noise Propagation ◽

Distribution Feeder

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Experimental Research on the Effect of Axial Power Distribution on Critical Power

Journal of Power and Energy Systems ◽

10.1299/jpes.3.301 ◽

2009 ◽

Vol 3 (1) ◽

pp. 301-312 ◽

Cited By ~ 1

Author(s):

Wei LIU ◽

Masatoshi KURETA ◽

Kazuyuki TAKASE

Keyword(s):

Experimental Research ◽

Power Distribution ◽

Critical Power

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Impact of Harmonics on Power Quality and Losses in Power Distribution Systems

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v5i1.pp166-174 ◽

2015 ◽

Vol 5 (1) ◽

pp. 166 ◽

Cited By ~ 12

Author(s):

M. Jawad Ghorbani ◽

Hossein Mokhtari

Keyword(s):

Power Quality ◽

Power Distribution ◽

Distribution Systems ◽

Harmonic Distortion ◽

Equivalent Model ◽

Power Distribution Systems ◽

Nonlinear Loads ◽

Distribution Feeder ◽

The Impact

This paper investigates the harmonic distortion and losses in power distribution systems due to the dramatic increase of nonlinear loads. This paper tries to determine the amount of the harmonics generated by nonlinear loads in residential, commercial and office loads in distribution feeders and estimates the energy losses due to these harmonics. Norton equivalent modeling technique has been used to model the nonlinear loads. The presented harmonic Norton equivalent models of the end user appliances are accurately obtained based on the experimental data taken from the laboratory measurements. A 20 kV/400V distribution feeder is simulated to analyze the impact of nonlinear loads on feeder harmonic distortion level and losses. The model follows a “bottom-up” approach, starting from end users appliances Norton equivalent model and then modeling residential, commercial and office loads. Two new indices are introduced by the authors to quantize the effect of each nonlinear appliance on the power quality of a distribution feeder and loads are ranked based on these new defined indices. The simulation results show that harmonic distortion in distribution systems can increase power losses up to 20%.

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MEFISTO: A Mechanistic Tool for the Prediction of Critical Power in BWR Fuel Assemblies

Volume 3: Thermal Hydraulics; Instrumentation and Controls ◽

10.1115/icone16-48703 ◽

2008 ◽

Cited By ~ 1

Author(s):

Carl Adamsson ◽

Jean-Marie Le Corre

Keyword(s):

Power Distribution ◽

Critical Power ◽

Cross Flow ◽

Flow Region ◽

Computer Time ◽

Equation Model ◽

Fuel Bundle ◽

Flow Information ◽

Order Of Magnitude ◽

Analysis Models

Westinghouse is currently developing the MEFISTO code with the main goal to achieve fast, robust, practical and reliable prediction of steady-state dryout Critical Power in Boiling Water Reactor (BWR) fuel bundle based on a mechanistic approach. To achieve this goal, the code resolves the multi-film mass balance equations at the sub-channel level within the annular flow region while relying on a simple two-field (liquid/steam) sub-channel solution to provide the cross-flow information. The MEFISTO code can hence provide detailed solution to the multi-film flow in BWR fuel bundle while enhancing flexibility and reducing the computer time by an order of magnitude as compared to standard three-field subchannel analysis. Models for the numerical computation of the sub-channel multi-film flowrate distributions, including the treatment of cross-flows, part-length rods and spacers grids are presented in this paper. The MEFISTO code is then applied to dryout prediction in BWR fuel bundle using VIPRE-W as a two-field sub-channel driver code (based on a fast and robust four-equation model). The dryout power is numerically predicted by iterating on the bundle power so that the minimum film flowrate in the bundle reaches the dryout criteria. Dryout predicted powers (including trends with flow, pressure, inlet subcooling and power distribution) and predicted dryout locations are compared to experimental results, using a large Westinghouse SVEA-96 dryout database, and are shown to yield excellent results.

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