Power quality improvement using model predictive control based shunt connected custom power device in a single phase system

The performance evaluation of a single-phase shunt-connected custom power device (SC-CPD) for current quality improvement is discussed in this paper. The SC-CPD performance is compared based on the linear triangle-comparison pulse width modulation (TC-PWM) control, hysteresis current control (HCC), and the predictive non-linear switching control strategies. The predictive switching control is implemented using the finite control set-model predictive control (FCS-MPC). The switching control techniques’ operational and implementation features are discussed for the given control objectives of the SC-CPD for a particular nonlinear load. Basic functional case studies with sinusoidal and non-sinusoidal supply mains in the presence of non-linear loads are presented to illustrate the appropriateness of the switching techniques. The SC-CPD model and control methodologies are developed in the MATLAB/Simulink environment, including designing of various circuit components. Finally, performance simulation results using the switching techniques have been compared and validated using OPAL-RT 4510-based real-time simulations.

Comparison of SRF and IRPT Algorithm for Mitigation of Voltage Sag and Voltage Swell using NPC based D-STATCOM

This study describes a systematic model of Distribution STATCOM (D-STATCOM) to reduce voltage sag, and swell using Instantaneous reactive power theory also called Power Quality theory (IRPT or PQ) and Synchronous reference frame theory (SRF) using NPC three level inverter. Power quality is an event that manifests as an abnormal frequency, current and voltage resulting in the failure of end-use equipment. The main issues addressed here are voltage sag and swell. Custom power devices are utilised to overcome this problem. The Distribution STATCOM (D-STATCOM) is one of these devices, and it is the most efficient and effective modern specialized power device utilised in distribution system network. The simulation of D-STATCOM is done using MATLAB/Simulink and voltage sag and swell are mitigated.

Accuracy and Power Analysis of Social Interaction Networks

Power analysis is used to estimate the probability of correctly rejecting a null hypothesis for a given statistical model and dataset. Conventional power analyses assume complete information, but the stochastic nature of behavioural sampling can mean that true and estimated networks are poorly correlated. Power analyses of animal social networks do not currently take the effect of sampling into account. This could lead to inaccurate estimates of statistical power, potentially yielding misleading results. Here we develop a method for computing how well an estimated social network correlates with its true network using a Gamma-Poisson model of interaction rates. We use simulations to assess how the level of correlation between true and estimated networks affects the power of nodal regression analyses. We also develop a generic method of power analysis applicable to any statistical test, based on the concept of diminishing returns. We demonstrate that our network correlation estimator is both accurate and moderately robust to its assumptions being broken. We show that social differentiation, mean interaction rate, and the harmonic mean of sampling times positively impacts the strength of correlation between true and estimated networks. We also show that the required level of correlation between true and estimated networks to achieve a given power level depends on many factors, but that 80% correlation usually corresponded to around 80% power for nodal regression. We provide guidelines for using our network correlation estimator to verify the accuracy of interaction networks, and to conduct power analysis. This can be used prior to data collection, in post hoc analyses, or even for subsetting networks for use in dynamic network analysis. We make our code available so that custom power analysis can be used in future studies.

Power Quality Improvement in WECS using Fuzzy – STATCOM

The major concern in a growing power quality is harmonics distortion which is caused by the non-linear nature of the loads. This problem has drawn much attention from utilities, users and industries. To reduce the harmonic distortion for improving the power quality of the system a custom power devices has been proposed. A static compensator (STATCOM) is implemented at distribution level for overcoming several power quality problems. In this paper, new control technic i.e AI is proposed on shunt compensator to estimates the weight values of load currents. The control approach is based on the convergence of the load currents and property of the input signal. A working prototype of the STATCOM is implemented using three-phase VSC and AI control technique based PWM controller approach is developed in MATLAB/SIMULINK.

Comparative investigation of single-phase Distributed Grid-connected with and without D-STATCOM

Power quality becomes one of the significant contemplations in the power system. It has become significant particularly with the presentation of advanced devices. These high-level advanced devices are sensitive to the nature of the power supply. The power quality refers to the voltage, current, and frequency at the evaluated value. If any variation occurred in these quantities the standard rating is considered as the power quality problem. The power quality issues like loss of sine, voltage sag, voltage swell, short interruption, long interruption, flicker, and harmonics. To overcome these power quality issues, we like to utilize custom power devices on the distribution side. Among various custom power devices, Distribution Static Synchronous Compensator is liked to use for expanding the power quality, on account of their basic power supply at the circulation power system which can’t be interfered with development and less complexity. This paper presents the near research of single-phase with and without D-STATCOM by utilizing MATLAB Simulink programming.

ANALISIS KOMPENSASI TEGANGAN SAG DENGAN KONTROL HYSTERESIS DAN ANN PADA GI SENGKALING PENYULANG PUJON

Makalah ini mendiskusikan tentang analisis kompensasi tegangan sag. Tegangan sag disebabkan oleh gangguan hubung singkat 3 fasa ke tanah. Gangguan tersebut memiliki dampak besar terhadap kerusakan pada saluran beban Penyulang Pujon. Tegangan sag dapat diatasi dengan kompensasi menggunakan Dynamic Voltage Restorer (DVR), yang mana DVR merupakan salah satu dari custom power device yang paling efektif. Hysteresis dan ANN diusulkan untuk mengatur kompensasi tegangan sag dari DVR. Hasil simulasi menunjukkan bahwa kontrol Hysteresis mampu mengkompensasi tegangan beban rata-rata sebesar 95.9 %, dan ANN 104.3%. Kontrol Hysteresis lebih baik dibandingkan dengan kontrol ANN dalam mengkompensasi tegangan beban, yang mana tidak melebihi tegangan beban normal pada saat kompensasi tegangan sag.

Improvement of Power Quality WECS using AI Based STATCOM

The major concern in a growing power quality is harmonics distortion which is caused by the non-linear nature of the loads. This problem has drawn much attention from utilities, users and industries. To reduce the harmonic distortion for improving the power quality of the system a custom power devices has been proposed. A static compensator (STATCOM) is implemented at distribution level for overcoming several power quality problems. In this paper, new control technic i.e AI is proposed on shunt compensator to estimates the weight values of load currents. The control approach is based on the convergence of the load currents and property of the input signal. A working prototype of the STATCOM is implemented using three-phase VSC and AI control technique based PWM controller approach is developed in MATLAB/SIMULINK.