1,720,963 research outputs found
Development of Renewable Energy System Using a Distributed Slack Bus Model
No full textIn this study, a distributed slack bus (DSB) approach utilizing combined participation factors, which are based on the scheduled generation capacities of the system, has been developed to allocate system losses among the generators. A DSB algorithm has been created and executed using a Newton Raphson solver within the MATLAB environment. The IEEE 14 bus system serves as a case study for this research. Renewable energy sources are integrated into the system, and a comparative analysis of the generation costs is conducted between systems incorporating renewable energy sources and those relying solely on thermal generators, evaluated through both the single slack bus (SSB) model and the DSB model. The implementation of the DSB led to a decrease in overall real power generation, reducing it from 272.593 MW to 272.409 MW in the 14 bus system, alongside a reduction in generation costs across both bus types. Additionally, real power line losses were minimized. The alterations in generation levels of the voltage-controlled buses fostered an effective economic dispatch scheme, accurately reflecting the network parameters. The introduction of wind and solar generators significantly lowered the cost of generation compared to systems devoid of these resources. Furthermore, employing combined participation factors yielded an even more precise network model
Последовательность данных повторной тренировки для комбинированного детектора
Full text linkThis work presents two detectors that are employed to manage the intersymbol interference
that the communication channels introduce. These two detectors work by combining a Viterbi detector
and a nonlinear equalizer. The second detector, which this study contributes, is called Combined
Detector‑2(CDR2). The first detector, which was previously constructed, is known as Combined
Detector‑1(CDR1). With a different data sequence, CDR2 is comparable to CDR1. Data transfer at 9.6
kbps over telephone channel is used to test these detectors with a nonlinear equalization. According to
simulation data, the CDR2 performs better than the CDR1, whereas the nonlinear equalizer performs
better than the CDR1В этой работе представлены два детектора, которые используются для управления
межсимвольными помехами, которые вносят каналы связи. Эти два детектора работают, объединяя
детектор Витерби и нелинейный эквалайзер. Второй детектор, который вносит вклад в это
исследование, называется комбинированным детектором‑2 (CDR2). Первый детектор, который был ранее сконструирован, известен как комбинированный детектор‑1 (CDR1). С другой
последовательностью данных CDR2 сопоставим с CDR1. Передача данных со скоростью 9,6
кбит/с по телефонному каналу используется для тестирования этих детекторов с нелинейным
эквалайзером. Согласно данным моделирования, CDR2 работает лучше, чем CDR1, тогда как
нелинейный эквалайзер работает лучше, чем CDR
Biometric Feature Extraction for Iris Scans
Full text linkThis paper generally seeks to demonstrate understanding and use of iris scans for biometric identification. Salient
features of iris are identified, their extracts analyzed critically by use of a software. The software for extraction of the
features is developed on MATLAB platform. Already prepared iris scans are used due to lack of scanners and/or very
high resolution cameras that would have otherwise assisted to obtain the required distinct features for comparison. The
program developed would compare two iris images a time and determine if they came from same individual; what we
are referring to as matching. A computer vision algorithm based on The Hough Transform is made use of in determining
circles present in the image which are essentially the iris and pupil. The region of interest from which the unique features
are obtained would be located between papillary and limbic boundaries. Papillary (between iris and pupil) while limbic
boundary is the one demarcating the iris and sclera. The comparison entails first determining codes of the two iris images
through generation of separate biometric template for them then using encoding procedure. Hamming distance calculation between the iris codes determines if they match
Моделирование трехфазной асинхронной машины
Full text linkThree phase induction motor is the most popular type AC motor. it is very commonly used for industrial drives. It is cheap, robust, efficient and reliable. It has good speed regulation and high starting torque. It requires little maintenance. It has a reasonable over load capacity. This paper deals with the simulation of three phase induction machine using MATLAB Simulink. The results are obtained for generating mode and motoring modeТрехфазный асинхронный двигатель является наиболее популярным типом двигателя переменного тока. Он очень часто используется для промышленных приводов. Это дешево, прочно, эффективно и безотказно. Он обладает хорошей регулировкой скорости и высоким пусковым моментом, не требует особого ухода, обладает разумной перегрузочной способностью. Данная статья посвящена моделированию трехфазной асинхронной машины с использованием MATLAB Simulink. Результаты получены для режима генерации и режима движени
Анализ производительности системы Massive MIMO в канале с замираниями Райса
Full text linkThis review paper studies the performance of massive MIMO uplink system over Rician
fading channel. The performance is measured in terms of spectral efficiency versus number of base
station antennas using three schemes of linear detection, maximum-ratio-combining (MRC), zero forcing
receiver (ZF), and minimum mean-square error receiver (MMSE). The simulation results show that the
spectral efficiency increases significantly with increasing the number of base station antennas. Also, the
spectral efficiency with MMSE is better than that with ZF, and the latter is better than that with MRC.
In addition, the spectral efficiency decreases with increasing the fading parameterВ данном обзоре рассматривается производительность массивной MIMO-системы
восходящей линии связи в канале с замираниями Райса. Производительность измеряется с точки
зрения спектральной эффективности в зависимости от количества антенн базовой станции с использованием трех схем линейного обнаружения, объединения максимального отношения
(MRC), приемника с нулевой форсировкой (ZF) и приемника с минимальной среднеквадратичной
ошибкой (MMSE). Результаты моделирования показывают, что спектральная эффективность
значительно увеличивается с ростом числа антенн базовой станции. Кроме того, спектральная
эффективность при использовании MMSE выше, чем при применении ZF, а при использовании
MRC – выше, чем при использовании MMSE. Кроме того, спектральная эффективность снижается
с увеличением параметра замирани
Study of the tracking of FHSS signal over AWGN channel
No full textFrequency Hopping Spread Spectrum (FHSS) communications utilizes a pseudo random code to spread the bandwidth of the data being transmitted over a much wider range than is required by the data. Due to the pseudo random nature of the carriers selected for transmission, the spreading and dispreading process must occur simultaneously to recover the transmitted data signal. This requires the receiver have knowledge about the instant the transmitter began transmitting and the propagation delay between the two. However, in real world systems, this information is unavailable to the receiver. The paper utilizes MATLAB Simulink to demonstrate a method of synchronizing the code clock at the receiver with the code clock at the transmitter. This fine alignment process is known as code tracking
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