Coordinated fuzzy operation of battery energy storage and resistive brake for mitigation of SSR oscillations

The work presented herein is focusing on mitigating sub-synchronous-resonance (SSR) oscillatory torque and speed responses developed in power network equipped with series capacitor compensation as an outcome of the network perturbations. The mitigation effect of a battery-energy-storage (BES) controlled via a fuzzy-logic-controller (FLC) is explored. It is also explored accompanied by a fuzzy-bases resistor brake controlled via FLC. The IEEE second benchmark system is selected as a test grid under the MATLAB™/Simulink simulation environment. The signal utilized for the propositioned controller is the alternator rotor speed deviation. The key conclusions of this investigation are the employment of a BES in the discharging mode alone might be utilized to alleviate the SSR relative speed, and torque oscillations, the BES employment accompanied with dynamic resistive brake is supplying faster-decaying rates for the SSR oscillations in observation with the BES employment only.

Comparison between blue-on-yellow and white-on-white perimetry in patients with branch retinal vein occlusion

This study aimed to compare blue-on-yellow (B/Y) perimetry with white-on-white (W/W) perimetry in eyes with branch retinal vein occlusion (BRVO). The following measurements were performed in 29 eyes of 29 patients with resolved BRVO: W/W and B/Y perimetries using 10-2 test grid, retinal volume (RV) using optical coherence tomography (OCT), and vessel densities (VD) of the superficial capillary layer (VDs) and deep capillary layer (VDd) using OCT angiography (OCTA). First, the difference in the retinal sensitivity (RS) between BRVO-affected and unaffected areas was compared between RS_B/Y and RS_W/W in the parafoveal and extrafoveal areas. Moreover, the structure–function relationship between vessel density and RS was compared between B/Y and W/W perimetries (RS_B/Y and RS_W/W, respectively). The difference in RS between BRVO-affected and unaffected areas was significantly larger with RS_B/Y than with RS_W/W in both the parafoveal and extrafoveal areas. In the parafoveal area, VDs, VDd, and RV were significantly correlated with both RS_W/W and RS_B/Y. In contrast, in the extrafoveal area, only VDd was included in the optimal models. Our findings suggest that RS_B/Y more strongly reflects the anatomical structure and BRVO-affected area.

Data for Heuristic Optimization of Electric Vehicles’ Charging Configuration Based on Loading Parameters

This dataset includes multiple files related to optimization of electric vehicles to minimize overloading in low voltage grids by varying the locations available to charge the EVs. The data include lognormally sampled hourly sorted scenarios across 11 charging locations for a stochastics-based Monte Carlo simulation. This simulation runs through 2 million scenarios based on actual probabilities to incorporate most possible situations. It also includes samples from normally distributed household electricity use scenarios based on agent-based modeling. The article includes the test grid parameters for simulation, which were used to create a benchmark grid in DigSilent Powerfactory software, as well as intermediate outputs defining worst case scenarios when electric vehicles were charged and results from three different optimization approaches involving a reduction in voltage drops, cable overloading and total line losses. The outputs from the benchmark grid were used to train a machine learning algorithm, the weights and codes for which are also attached. This trained network acted as the grid for subsequent iterative optimization procedures. Outputs are presented as a comparison between pre-optimization and post-optimization scenarios. The above dataset and procedure were repeated while varying the number of EVs between 0 and 100 in increments of 20, data for which are also attached. The data article supports a related submission titled “Minimization of Overloading Caused by Electric Vehicle (EV) Charging in Low Voltage Networks”.

Hubungan Kebugaran Jasmani Terhadap Tingkat Konsentrasi Siswa di SMAN 9 Bekasi

Tujuan Penelitian ini adalah untuk mengetahui seberapa besar yang dimiliki antara hubungan kebugaran jasmani terhadap tingkat konsentrasi belajar siswa dalam pendidikan jasmani. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei. Subjek atau Populasi penelitian yang digunakan merupakan kelas X SMA Negeri 9 Kota Bekasi yang berjumlah 355 orang. Sampel penelitian berjumlah 23 siswa dengan teknik simple random sampling Instrumen yang digunakan pada penelitian ini adalah tingkat kebugaran jasmani siswa yang diukur dengan menggunakan Tes Kebugaran Jasmani Indonesia (TKJI) yang terdiri dari beberapa rangkaian tes, seperti: a) lari 60 meter, b) pull-up60 detik, c) sit-up 60 detik, d) loncat tegak, dan e) lari 1200 meter, Kemudian konsentrasi belajar siswa diukur dengan menggunakan instrument test Grid Concentration Exercises. Pengambilan data pada penelitian ini melalui pemberian tes dan pengukuran melalui survei. Hasil penelitian menunjukkan rhitung = 0,578 ≥ rtabel = 0,433 artinya dapat disimpulkan bahwa adanya hubungan yang signifikan antara tingkat kebugaran jasmani dan tingkat konsentrasi siswa kelas X SMA Negeri 9 Kota Bekasi. Hasil koefisiensi determinan (r2) diperoleh sebesar 33,4% dan sisa dari hasil penghitungan sebesar 66,6% lagi tingkat konsentrasi ditentukan oleh faktor lain.

Transformation of a Grid of Quadrats to Cope With Perspective Artifacts

The direct superimposition of a standard test grid of congruent quadrats onto an image bearing a population of particles exhibiting perspective artifacts, tends to increase the variance of the population size estimator, because the quadrat contents become unbalanced. If the quadrats are transformed according to the same projection mechanism affecting the particles, however, then the variance is restored into moderate values. Our purpose was to provide exact, easily programmable equations for the relevant transform.

The Impact of Concentration Toward Soccer Player Shooting Ability of Soccer School Batuang Taba Padang City

The problem of this research was soccer player shooting ability of Soccer School Batuang Taba still low. It can be seen from the decreasing of their achievement that happened in Soccer School Batuang Taba. The aim of this study is to reveal the direct impact of Concentration, on Shooting ability of soccer player. This research method is quantitive by using Path Analysis approach. Population are 19 soccer players of U-15 Soccer School Batuang Taba. The sample technique is done by Proportionate Random Sampling, so the participants became 17 soccer players. The instrument was shooting ability test. Grid Concentration, exercise for measuring Concentration. Technique of data analysis used with Path Analysis. The result of research and data analysis showed that: Concentration has a direct and significant effect on Shooting ability of 12.25%.

Traveling Waves-Based Method for Fault Estimation in HVDC Transmission System

The HVDC transmission system is winning hearts of researchers and electrical engineers because of its notable merits as compared to the HVAC transmission system in the case of long-distance bulk power transmission. The HVDC transmission system is known for its low losses, effective control ability, efficiency and reliability. However, because of the sudden build-up of fault current in the HVDC transmission system, conventional relays and circuit breakers are required to be modified. Detection of fault location is an important parameter of protection of the HVDC transmission system. In this research paper, fault location methods based on traveling waves are reviewed for the HVDC transmission system. Arrival time and natural frequency are the two parameters of measurement in traveling waves. Advantages and disadvantages of methods of traveling waves with respect to their quantities of measurements are analyzed critically. Further, a two-terminal HVDC test grid is simulated over Matlab/Simulink. Different types of AC and DC faults and at different locations are analyzed on a test grid. A traveling wave-based technique of fault estimation is developed and is evaluated for identification, classification and finding location of faults to validate its performance. Moreover, this technique is supported with analysis of fast Fourier transform to accelerate its practicality and realization.