6,601 research outputs found

    Levitated electromechanics: all-electrical cooling of charged nano- and micro-particles

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    We show how charged levitated nano- and micro-particles can be cooled by interfacing them with an RLCRLC circuit. All-electrical levitation and cooling is applicable to a wide range of particle sizes and materials, and will enable state-of-the-art force sensing within an electrically networked system. Exploring the cooling limits in the presence of realistic noise we find that the quantum regime of particle motion can be reached in cryogenic environments both for passive resistive cooling and for an active feedback scheme, paving the way to levitated quantum electromechanics.Comment: Manuscript: 16 pages, 5 figures. Supplementary material: 3 pages 2 figure

    Competing mechanisms of stress-assisted diffusivity and stretch-activated currents in cardiac electromechanics

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    We numerically investigate the role of mechanical stress in modifying the conductivity properties of the cardiac tissue and its impact in computational models for cardiac electromechanics. We follow a theoretical framework recently proposed in [Cherubini, Filippi, Gizzi, Ruiz-Baier, JTB 2017], in the context of general reaction-diffusion-mechanics systems using multiphysics continuum mechanics and finite elasticity. In the present study, the adapted models are compared against preliminary experimental data of pig right ventricle fluorescence optical mapping. These data contribute to the characterization of the observed inhomogeneity and anisotropy properties that result from mechanical deformation. Our novel approach simultaneously incorporates two mechanisms for mechano-electric feedback (MEF): stretch-activated currents (SAC) and stress-assisted diffusion (SAD); and we also identify their influence into the nonlinear spatiotemporal dynamics. It is found that i) only specific combinations of the two MEF effects allow proper conduction velocity measurement; ii) expected heterogeneities and anisotropies are obtained via the novel stress-assisted diffusion mechanisms; iii) spiral wave meandering and drifting is highly mediated by the applied mechanical loading. We provide an analysis of the intrinsic structure of the nonlinear coupling using computational tests, conducted using a finite element method. In particular, we compare static and dynamic deformation regimes in the onset of cardiac arrhythmias and address other potential biomedical applications

    Cardiac Electromechanics: The effect of contraction model on the mathematical problem and accuracy of the numerical scheme

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    Models of cardiac electromechanics usually contain a contraction model determining the active tension induced at the cellular level, and the equations of nonlinear elasticity to determine tissue deformation in response to this active tension. All contraction models are dependent on cardiac electro-physiology, but can also be dependent on\ud the stretch and stretch-rate in the fibre direction. This fundamentally affects the mathematical problem being solved, through classification of the governing PDEs, which affects numerical schemes that can be used to solve the governing equations. We categorise contraction models into three types, and for each consider questions such as classification and the most appropriate choice from two numerical methods (the explicit and implicit schemes). In terms of mathematical classification, we consider the question of strong ellipticity of the total strain energy (important for precluding β€˜unnatural’ material behaviour) for stretch-rate-independent contraction models; whereas for stretch-rate-dependent contraction models we introduce a corresponding third-order problem and explain how certain choices of boundary condition could lead to constraints on allowable initial condition. In terms of suitable numerical methods, we show that an explicit approach (where the contraction model is integrated in the timestep prior to the bulk deformation being computed) is: (i) appropriate for stretch-independent contraction models; (ii) only conditionally-stable, with the stability criterion independent of timestep, for contractions models which just depend on stretch (but not stretch-rate), and (iii) inappropriate for stretch-rate-dependent models

    MULTIFUNCTIONAL POWER QUALITY CORRECTION SYSTEM

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    Study the system of electric power quality control based on AVI with PWM in the systems of group feed of electromechanics with the direct-current unibus

    Quantum nano-electromechanics with electrons, quasiparticles and Cooper pairs: effective bath descriptions and strong feedback effects

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    Using a quantum noise approach, we discuss the physics of both normal metal and superconducting single electron transistors (SET) coupled to mechanical resonators. Particular attention is paid to the regime where transport occurs via incoherent Cooper-pair tunneling (either via the Josephson quasiparticle (JQP) or double Josephson quasiparticle (DJQP) process). We show that, surprisingly, the back-action of tunneling Cooper pairs (or superconducting quasiparticles) can be used to significantly cool the oscillator. We also discuss the physical origin of negative damping effects in this system, and how they can lead to a regime of strong electro-mechanical feedback, where despite a weak SET - oscillator coupling, the motion of the oscillator strongly effects the tunneling of the Cooper pairs. We show that in this regime, the oscillator is characterized by an energy-dependent effective temperature. Finally, we discuss the strong analogy between back-action effects of incoherent Cooper-pair tunneling and ponderomotive effects in an optical cavity with a moveable mirror; in our case, tunneling Cooper pairs play the role of the cavity photons.Comment: 27 pages, 7 figures; submitted to the New Journal of Physics focus issue on Nano-electromechanical Systems; error in references correcte

    Π­ΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΠΎΠ΅ исслСдованиС робастного управлСния Π³Π»Π°Π²Π½Ρ‹ΠΌΠΈ ΠΏΡ€ΠΈΠ²ΠΎΠ΄Π°ΠΌΠΈ ΠΏΡ€ΠΎΠΊΠ°Ρ‚Π½Ρ‹Ρ… станов с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ ΠΈΡ… Π²Π·Π°ΠΈΠΌΠ½ΠΎΠ³ΠΎ влияния Ρ‡Π΅Ρ€Π΅Π· ΠΏΡ€ΠΎΠΊΠ°Ρ‚Ρ‹Π²Π°Π΅ΠΌΡ‹ΠΉ ΠΌΠ΅Ρ‚Π°Π»Π» Π½Π° стСндС двухмассовой элСктромСханичСской систСмы

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    The method of experimental research of robust control for rolling mills main drives with related through the rolled metal as a twomass electromechanics system for the short line and as a threemass electromechanics system for the long line on twomass electromechanics system stand are developed. The example of experimental dynamic characteristics for such system is given

    Active shielding of magnetic field with circular space-time characteristic

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    Aim. The synthesis of two degree of freedom robust two circuit system of active shielding of magnetic field with circular spacetime characteristic, generated by overhead power lines with "triangle" type of phase conductors arrangements for reducing the magnetic flux density to the sanitary standards level and to reducing the sensitivity of the system to plant parameters uncertainty. Methodology. The synthesis is based on the multi-criteria game decision, in which the payoff vector is calculated on the basis of the Maxwell equations quasi-stationary approximation solutions. The game decision is based on the stochastic particles multiswarm optimization algorithms. The initial parameters for the synthesis by system of active shielding are the location of the overhead power lines with respect to the shielding space, geometry and number of shielding coils, operating currents, as well as the size of the shielding space and magnetic flux density normative value, which should be achieved as a result of shielding. The objective of the synthesis is to determine their number, configuration, spatial arrangementand and shielding coils currents, setting algorithm of the control systems as well as the resulting of the magnetic flux density value at the shielding space. Results. Computer simulation and field experimental research results of two degree of freedom robust two circuit system of active shielding of magnetic field, generated by overhead power lines with Β«triangleΒ» type of phase conductors arrangements are given. The possibility of initial magnetic flux density level reducing and system sensitivity reducing to the plant parameters uncertainty is shown. Originality. For the first time the synthesis, theoretical and experimental research of two degree of freedom robust two -circuit t system of active shielding of magnetic field generated by single-circuit overhead power line with phase conductors triangular arrangements carried out. Practical value. Practical recommendations from the point of view of the practical implementation on reasonable choice of the spatial arrangement of two shielding coils of robust two -circuit system of active shielding of the magnetic field with circular space-time characteristic generated by single-circuit overhead power line with phase conductors triangular arrangements are given.ЦСль. Π‘ΠΈΠ½Ρ‚Π΅Π· ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ робастной Π΄Π²ΡƒΡ…ΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ систСмы Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ экранирования ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля с ΠΊΡ€ΡƒΠ³ΠΎΠ²ΠΎΠΉ пространствСнно-Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ характСристикой, Π³Π΅Π½Π΅Ρ€ΠΈΡ€ΡƒΠ΅ΠΌΠΎΠ³ΠΎ ΠΎΠ΄Π½ΠΎΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ Π²ΠΎΠ·Π΄ΡƒΡˆΠ½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠ΅ΠΉ элСктропСрСдачи с Ρ‚Ρ€Π΅ΡƒΠ³ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ подвСсом ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠ² для сниТСния ΠΈΠ½Π΄ΡƒΠΊΡ†ΠΈΠΈ ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля Π΄ΠΎ уровня санитарных Π½ΠΎΡ€ΠΌ ΠΈ для сниТСния Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ систСмы ΠΊ нСопрСдСлСнности ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° управлСния. ΠœΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ. Π‘ΠΈΠ½Ρ‚Π΅Π· основан Π½Π° Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ стохастичСской ΠΈΠ³Ρ€Ρ‹, Π² ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ Π²Π΅ΠΊΡ‚ΠΎΡ€Π½Ρ‹ΠΉ Π²Ρ‹ΠΈΠ³Ρ€Ρ‹Ρˆ вычисляСтся Π½Π° основании Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ ΡƒΡ€Π°Π²Π½Π΅Π½ΠΈΠΉ МаксвСлла Π² квазистационарном ΠΏΡ€ΠΈΠ±Π»ΠΈΠΆΠ΅Π½ΠΈΠΈ. РСшСниС ΠΈΠ³Ρ€Ρ‹ находится Π½Π° основС Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² стохастичСской ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠ°Π³Π΅Π½Ρ‚Π½ΠΎΠΉ ΠΎΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΌΡƒΠ»ΡŒΡ‚ΠΈΡ€ΠΎΠ΅ΠΌ частиц. Π˜ΡΡ…ΠΎΠ΄Π½Ρ‹ΠΌΠΈ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π°ΠΌΠΈ для синтСза систСмы Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ экранирования ΡΠ²Π»ΡΡŽΡ‚ΡΡ располоТСниС Π²Ρ‹ΡΠΎΠΊΠΎΠ²ΠΎΠ»ΡŒΡ‚Π½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠΉ элСктропСрСдачи ΠΏΠΎ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡŽ ΠΊ экранируСмому пространству, гСомСтричСскиС Ρ€Π°Π·ΠΌΠ΅Ρ€Ρ‹, количСство ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠ² ΠΈ Ρ€Π°Π±ΠΎΡ‡ΠΈΠ΅ Ρ‚ΠΎΠΊΠΈ Π»ΠΈΠ½ΠΈΠΈ элСктропСрСдачи, Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ€Π°Π·ΠΌΠ΅Ρ€Ρ‹ экранируСмого пространства ΠΈ Π½ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½ΠΎΠ΅ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ ΠΈΠ½Π΄ΡƒΠΊΡ†ΠΈΠΈ ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля, ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ Π΄ΠΎΠ»ΠΆΠ½ΠΎ Π±Ρ‹Ρ‚ΡŒ достигнуто Π² Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ экранирования. Π—Π°Π΄Π°Ρ‡Π΅ΠΉ синтСза являСтся ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ количСства, ΠΊΠΎΠ½Ρ„ΠΈΠ³ΡƒΡ€Π°Ρ†ΠΈΠΈ, пространствСнного располоТСния ΠΈ Ρ‚ΠΎΠΊΠΎΠ² ΡΠΊΡ€Π°Π½ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… ΠΎΠ±ΠΌΠΎΡ‚ΠΎΠΊ, Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° Ρ€Π°Π±ΠΎΡ‚Ρ‹ систСмы управлСния, Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚ΠΈΡ€ΡƒΡŽΡ‰Π΅Π³ΠΎ значСния ΠΈΠ½Π΄ΡƒΠΊΡ†ΠΈΠΈ ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля Π² экранируСмом пространствС. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠŸΡ€ΠΈΠ²ΠΎΠ΄ΡΡ‚ΡΡ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ тСорСтичСских ΠΈ ΠΏΠΎΠ»Π΅Π²Ρ‹Ρ… ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Ρ… исслСдований ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ робастной Π΄Π²ΡƒΡ…ΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ систСмы Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ экранирования ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля, Π³Π΅Π½Π΅Ρ€ΠΈΡ€ΡƒΠ΅ΠΌΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄ΡƒΡˆΠ½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠ΅ΠΉ элСктропСрСдачи с Ρ‚Ρ€Π΅ΡƒΠ³ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ подвСсом ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠ². Показана Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ сниТСния уровня ΠΈΠ½Π΄ΡƒΠΊΡ†ΠΈΠΈ исходного ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля Π²Π½ΡƒΡ‚Ρ€ΠΈ экранируСмого пространства ΠΈ сниТСния Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ систСмы ΠΊ нСопрСдСлСнностям ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° управлСния. ΠžΡ€ΠΈΠ³ΠΈΠ½Π°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. Π’ΠΏΠ΅Ρ€Π²Ρ‹Π΅ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Ρ‹ синтСз, тСорСтичСскиС ΠΈ ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Π΅ исслСдования ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ робастной Π΄Π²ΡƒΡ…ΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ систСмы Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ экранирования ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля, Π³Π΅Π½Π΅Ρ€ΠΈΡ€ΡƒΠ΅ΠΌΠΎΠ³ΠΎ ΠΎΠ΄Π½ΠΎΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ Π²ΠΎΠ·Π΄ΡƒΡˆΠ½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠ΅ΠΉ элСктропСрСдачи с Ρ‚Ρ€Π΅ΡƒΠ³ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ подвСсом ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠ². ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠ°Ρ Ρ†Π΅Π½Π½ΠΎΡΡ‚ΡŒ. ΠŸΡ€ΠΈΠ²ΠΎΠ΄ΡΡ‚ΡΡ практичСскиС Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ ΠΏΠΎ обоснованному Π²Ρ‹Π±ΠΎΡ€Ρƒ с Ρ‚ΠΎΡ‡ΠΊΠΈ зрСния практичСской Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ пространствСнного располоТСния Π΄Π²ΡƒΡ… ΡΠΊΡ€Π°Π½ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… ΠΎΠ±ΠΌΠΎΡ‚ΠΎΠΊ Π΄Π²ΡƒΡ…ΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ робастной систСмы Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ экранирования ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля с ΠΊΡ€ΡƒΠ³ΠΎΠ²ΠΎΠΉ пространствСнно-Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ характСристикой, создаваСмого ΠΎΠ΄Π½ΠΎΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ Π²ΠΎΠ·Π΄ΡƒΡˆΠ½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠ΅ΠΉ элСктропСрСдачи с Ρ‚Ρ€Π΅ΡƒΠ³ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ подвСсом ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠ²

    Unbalanced load flow with hybrid wavelet transform and support vector machine based Error-Correcting Output Codes for power quality disturbances classification including wind energy

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    Purpose. The most common methods to designa multiclass classification consist to determine a set of binary classifiers and to combine them. In this paper support vector machine with Error-Correcting Output Codes (ECOC-SVM) classifier is proposed to classify and characterize the power qualitydisturbances such as harmonic distortion,voltage sag, and voltage swell include wind farms generator in power transmission systems. Firstly three phases unbalanced load flow analysis is executed to calculate difference electric network characteristics, levels of voltage, active and reactive power. After, discrete wavelet transform is combined with the probabilistic ECOC-SVM model to construct the classifier. Finally, the ECOC-SVM classifies and identifies the disturbance type according tothe energy deviation of the discrete wavelet transform. The proposedmethod gives satisfactory accuracy with 99.2% compared with well known methods and shows that each power quality disturbances has specific deviations from the pure sinusoidal waveform,this is good at recognizing and specifies the type of disturbance generated from the wind power generator.НаиболСС распространСнныС ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ построСния ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠΊΠ»Π°ΡΡΠΎΠ²ΠΎΠΉ классификации Π·Π°ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‚ΡΡ Π² ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ Π½Π°Π±ΠΎΡ€Π° Π΄Π²ΠΎΠΈΡ‡Π½Ρ‹Ρ… классификаторов ΠΈ ΠΈΡ… объСдинСнии. Π’ Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠ΅ ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π° машина ΠΎΠΏΠΎΡ€Π½Ρ‹Ρ… Π²Π΅ΠΊΡ‚ΠΎΡ€ΠΎΠ² с классификатором Π²Ρ‹Ρ…ΠΎΠ΄Π½Ρ‹Ρ… ΠΊΠΎΠ΄ΠΎΠ² исправлСния ошибок(ECOC-SVM) с Ρ†Π΅Π»ΡŒΡŽ ΠΊΠ»Π°ΡΡΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΠΈ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΠΎΠ²Π°Ρ‚ΡŒ Ρ‚Π°ΠΊΠΈΠ΅ Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡ качСства элСктроэнСргии, ΠΊΠ°ΠΊ гармоничСскиС искаТСния, ΠΏΠ°Π΄Π΅Π½ΠΈΠ΅ напряТСния ΠΈ скачок напряТСния, Π²ΠΊΠ»ΡŽΡ‡Π°Ρ Π³Π΅Π½Π΅Ρ€Π°Ρ‚ΠΎΡ€ Π²Π΅Ρ‚Ρ€ΠΎΠ²Ρ‹Ρ… элСктростанций Π² систСмах ΠΏΠ΅Ρ€Π΅Π΄Π°Ρ‡ΠΈ элСктроэнСргии. Π‘Π½Π°Ρ‡Π°Π»Π° выполняСтся Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΡ‚ΠΎΠΊΠ° нСсиммСтричной Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠΈ Ρ‚Ρ€Π΅Ρ… Ρ„Π°Π· для расчСта разностных характСристик элСктричСской сСти, ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ напряТСния, Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠΉ ΠΈ Ρ€Π΅Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠΉ мощности. ПослС этого дискрСтноС Π²Π΅ΠΉΠ²Π»Π΅Ρ‚-ΠΏΡ€Π΅ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΎΠ±ΡŠΠ΅Π΄ΠΈΠ½ΡΠ΅Ρ‚ΡΡ с вСроятностной модСлью ECOC-SVM для построСния классификатора. НаконСц, ECOC-SVM классифицируСт ΠΈ ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΡ†ΠΈΡ€ΡƒΠ΅Ρ‚ Ρ‚ΠΈΠΏ возмущСния Π² соотвСтствии с ΠΎΡ‚ΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΠ΅ΠΌ энСргии дискрСтного Π²Π΅ΠΉΠ²Π»Π΅Ρ‚-прСобразования. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Ρ‹ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ Π΄Π°Π΅Ρ‚ ΡƒΠ΄ΠΎΠ²Π»Π΅Ρ‚Π²ΠΎΡ€ΠΈΡ‚Π΅Π»ΡŒΠ½ΡƒΡŽ Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒ 99,2% ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с Ρ…ΠΎΡ€ΠΎΡˆΠΎ извСстными ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ ΠΈ ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚, Ρ‡Ρ‚ΠΎ ΠΊΠ°ΠΆΠ΄ΠΎΠ΅ Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΠ΅ качСства элСктроэнСргии ΠΈΠΌΠ΅Π΅Ρ‚ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹Π΅ отклонСния ΠΎΡ‚ чисто ΡΠΈΠ½ΡƒΡΠΎΠΈΠ΄Π°Π»ΡŒΠ½ΠΎΠΉ Ρ„ΠΎΡ€ΠΌΡ‹ Π²ΠΎΠ»Π½Ρ‹, Ρ‡Ρ‚ΠΎ способствуСт Ρ€Π°ΡΠΏΠΎΠ·Π½Π°Π²Π°Π½ΠΈΡŽ ΠΈ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΡŽ Ρ‚ΠΈΠΏΠ° возмущСния, Π³Π΅Π½Π΅Ρ€ΠΈΡ€ΡƒΠ΅ΠΌΠΎΠ³ΠΎ Π²Π΅Ρ‚Ρ€ΠΎΠ²Ρ‹ΠΌ Π³Π΅Π½Π΅Ρ€Π°Ρ‚ΠΎΡ€ΠΎΠΌ

    Spring search algorithm for simultaneous placement of distributed generation and capacitors

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    Purpose. In this paper, for simultaneous placement of distributed generation (DG) and capacitors, a new approach based on Spring Search Algorithm (SSA), is presented. This method is contained two stages using two sensitive index Sv and Ss. Sv and Ss are calculated according to nominal voltageand network losses. In the first stage, candidate buses are determined for installation DG and capacitors according to Sv and Ss. Then in the second stage, placement and sizing of distributed generation and capacitors are specified using SSA. The spring search algorithm is among the optimization algorithms developed by the idea of laws of nature and the search factors are a set of objects. The proposed algorithm is tested on 33-bus and 69-bus radial distribution networks. The test results indicate good performance of the proposed methodЦСль. Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ для ΠΎΠ΄Π½ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ размСщСния распрСдСлСнной Π³Π΅Π½Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΈ кондСнсаторов прСдставлСн Π½ΠΎΠ²Ρ‹ΠΉ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄, основанный Π½Π° "ΠΏΡ€ΡƒΠΆΠΈΠ½Π½ΠΎΠΌ" Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ΅ поиска (Spring Search Algorithm, SSA). Π”Π°Π½Π½Ρ‹ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ состоит ΠΈΠ· Π΄Π²ΡƒΡ… этапов с использованиСм Π΄Π²ΡƒΡ… ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Sv ΠΈ Ss. ΠŸΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Sv ΠΈ Ss Ρ€Π°ΡΡΡ‡ΠΈΡ‚Ρ‹Π²Π°ΡŽΡ‚ΡΡ Π² соотвСтствии с Π½ΠΎΠΌΠΈΠ½Π°Π»ΡŒΠ½Ρ‹ΠΌ напряТСниСм ΠΈ потСрями Π² сСти. На ΠΏΠ΅Ρ€Π²ΠΎΠΌ этапС ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡΡŽΡ‚ΡΡ ΡˆΠΈΠ½Ρ‹-ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚Ρ‹ для установки распрСдСлСнной Π³Π΅Π½Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΈ кондСнсаторов согласно Sv ΠΈ Ss. Π—Π°Ρ‚Π΅ΠΌ, Π½Π° Π²Ρ‚ΠΎΡ€ΠΎΠΌ этапС Ρ€Π°Π·ΠΌΠ΅Ρ‰Π΅Π½ΠΈΠ΅ ΠΈ ΠΊΠ°Π»ΠΈΠ±Ρ€ΠΎΠ²ΠΊΠ° распрСдСлСнной Π³Π΅Π½Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΈ кондСнсаторов Π²Ρ‹ΠΏΠΎΠ»Π½ΡΡŽΡ‚ΡΡ с использованиСм Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° SSA. "ΠŸΡ€ΡƒΠΆΠΈΠ½Π½Ρ‹ΠΉ" Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ поиска Π²Ρ…ΠΎΠ΄ΠΈΡ‚ Π² число Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² ΠΎΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ, Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½Ρ‹Ρ… Π½Π° основС ΠΈΠ΄Π΅ΠΉ Π·Π°ΠΊΠΎΠ½ΠΎΠ² ΠΏΡ€ΠΈΡ€ΠΎΠ΄Ρ‹, Π° Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ‹ поиска ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²Π»ΡΡŽΡ‚ собой Π½Π°Π±ΠΎΡ€ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ². ΠŸΡ€Π΅Π΄Π»Π°Π³Π°Π΅ΠΌΡ‹ΠΉ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ тСстируСтся Π½Π° Ρ€Π°Π΄ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… Ρ€Π°ΡΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… сСтях с 33 ΠΈ 69 шинами. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ тСстирования ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‚ Ρ…ΠΎΡ€ΠΎΡˆΡƒΡŽ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°
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