Power Network Optimization Based on Link Breaking Methodology

Jakushokas, Renatas; Friedman, Eby G.

doi:10.1109/tvlsi.2012.2201186

Cited by 12 publications

(10 citation statements)

References 13 publications

(1 reference statement)

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“…As compared with the known method of voltage drop control on the branches of EES circuits [1], with the method of overloads decrease of transmission lines, at the expense of redistribution of power overflows in EES [2], decrease of active power losses in the process of transportation [3] by means of LTC-transformers, the suggested method allows selecting, by means of accounting the suggested RRCT, the transformer for the EES mode control that would simultaneously provide the reduction of power losses and be more reliable.…”

Section: Discussion Of the Results Of Determining Optimal Transformatmentioning

confidence: 99%

“…In [1], the technique of voltage drop decrease in separate parts of distribution electric grids is suggested, but it does not take into account the technical state of regulating devices [1]. In [2], on the example of Indian electric grids, the statistics of the increase of power, transmitted in electric grid is considered.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…These coefficients are defined in relative units by (1) and that is why they characterize the total output of the transformers from the moment of their technical state control to transition to the boundary state that is residual technical resource (12). The residual resource coefficient We perform the reduction of the circuit by the following expressions.…”

Section: Determination Of Current Technical State Of Power Transformersmentioning

confidence: 99%

“…For each input variable of the neuro-model, four linguistic terms with Gaussian membership functions were used: (6) where 1 σ and с 1 are numerical parameters; 2 1 σ -in the probability theory it is called the variance of distribution (14), and the second parameter с 1 is the mathematical expectation; i 1 -is the input parameter of the neural-fuzzy model that corresponds to the diagnostic parameter (i 1 =1, 2, 3, 4, 5, 6, 7), x i is the value of the i 1 th input parameter of the model:…”

Section: Fig 2 Structure Of the Anfis-network Of The Transformermentioning

confidence: 99%

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Determination of optimal transformation ratios of power system transformers in conditions of incomplete information regarding the values of diagnostic parameters

Rubanenko

Kazmiruk

Bandura

et al. 2017

EEJET

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1._IntroductionA characteristic feature of the present day situation is the attempts of utility companies to increase energy efficiency in conditions of continuing aging of high voltage equipment.The practice of large-scale introduction of the intelligent support of decision making of optimal solution processes proves their efficiency. One of the directions of efficiency increase of electric energy transportation is improvement of methods and means of active power losses reduction on conditions of maintaining reliable operation of high voltage equipment, including out-dated equipment.The set of electric energy system (EES) states and the processes of transition from one state into another is the EES mode (further-mode), characterized by the parameters, for instance, electrical: substations voltages and loads, currents in transmission lines, transformation ratios of the transformers, etc. Normal operation mode of EES modes. Control by the system of on-line dispatching control (LDC). Modern LDS technologies, for instance, provided by Smart Grids concept, are aimed at improvement of its information support. This enables to implement more efficiently energy saving technologies in electric energy systems, when out of date high-voltage equipment is used. DETERMINATION OF OPTIMAL TRANSFORMATION RATIOS OF POWER SYSTEM TRANSFORMERS IN CONDITIONS OF INCOMPLETE INFORMATION REGARDING THE VALUES OF DIAGNOSTIC PARAMETERSO . R u b a n e n k o PhD, Associate Professor* Е-mail: rubanenkoae@ukr.net О . K a z m i r u kPhD, Assistant* Е-mail: oleg_kazmiruk@hotmail.com V . B a n d u r aPhD, Associate Professor** E-mail: bandura_3@ukr.net V . M a t v i j c h u kDoctor of Technical Sciences*** Е-mail: olenarubanenko@ukr.net O . R u b a n e n k oPhD*** Е-mail: olenarubanenko@ukr.net *Department of Electric Stations and Systems Vinnytsia National Technical University Khmelnytske highway, 95, Vinnytsia, Ukraine, 21021 **Department of Processes and equipment processing and food production named after Prof. P. S. Bernik**** ***Department of Electrical Engineering Systems, Technologies and Automation in Agroindustrial Complex**** ****Vinnytsia National Agrarian University Soniachna str., 3, Vinnitsa, Ukraine, 21008Шляхом аналізу пошкоджуваності силових трансформаторів та методів керування режимами електроенерге-тичних систем (ЕЕС) доведена доціль-ність використання результатів опе-ративного діагностування трансфор-маторів з РПН під час оптимально-го керування режимами. Приведена нечітка модель коефіцієнта залишко-вого ресурсу трансформатора. Роз-глянутий метод визначення опти-мальних керуючих впливів трансфор-маторами з РПН, з врахуванням їх технічного стану Ключові слова: оперативне діа-гностування, оптимальне керування, нормальні режими, втрати активної потужності Исследованы существующие мето-ды и средства оценивания компе-тентности экспертов. Проведено оце-нивание компетентности экспертов в сфере технического регулирования по установленным критериям. Ре-зультаты обработаны с помощью специальных методик и программ-ных средств с учетом не...

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Section: Discussion Of the Results Of Determining Optimal Transformatmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Determination Of Current Technical State Of Power Transformersmentioning

confidence: 99%

Section: Fig 2 Structure Of the Anfis-network Of The Transformermentioning

confidence: 99%

See 2 more Smart Citations

Determination of optimal transformation ratios of power system transformers in conditions of incomplete information regarding the values of diagnostic parameters

Rubanenko

Kazmiruk

Bandura

et al. 2017

EEJET

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show abstract

“…An example of this case is shown in Figure 1 for a resistor network with a single source-sink nodes. Another redistribution of currents, which is also poorly accounted by these methods, happens if a single source node and single sink node are decentralized for multiple sources and/or multiple sinks that preserve the initial input and output magnitudes [7,13]. In any case, both former situations require the application of the classical Circuit Theory methods for each configuration of the sources and sinks in order to find the currents at every edge of the network.…”

Section: Introductionmentioning

confidence: 99%

General analytical solutions for DC/AC circuit-network analysis

Rubido

Grebogi

Baptista

2017

Eur. Phys. J. Spec. Top.

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Abstract. In this work, we present novel general analytical solutions for the currents that are developed in the edges of network-like circuits when some nodes of the network act as sources/sinks of DC or AC current. We assume that Ohm's law is valid at every edge and that charge at every node is conserved (with the exception of the source/sink nodes). The resistive, capacitive, and/or inductive properties of the lines in the circuit define a complex network structure with given impedances for each edge. Our solution for the currents at each edge is derived in terms of the eigenvalues and eigenvectors of the Laplacian matrix of the network defined from the impedances. This derivation also allows us to compute the equivalent impedance between any two nodes of the circuit and relate it to currents in a closed circuit which has a single voltage generator instead of many input/output source/sink nodes. This simplifies the treatment that could be done via Thévenin's theorem. Contrary to solving Kirchhoff's equations, our derivation allows to easily calculate the redistribution of currents that occurs when the location of sources and sinks changes within the network. Finally, we show that our solutions are identical to the ones found from Circuit Theory nodal analysis.

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Effective resistance of finite grids

Bairamkulov

Friedman

2022

Graphs in VLSI

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Power Network Optimization Based on Link Breaking Methodology

Cited by 12 publications

References 13 publications

Determination of optimal transformation ratios of power system transformers in conditions of incomplete information regarding the values of diagnostic parameters

Determination of optimal transformation ratios of power system transformers in conditions of incomplete information regarding the values of diagnostic parameters

General analytical solutions for DC/AC circuit-network analysis

Effective resistance of finite grids

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