scholarly journals Electrical Power System Modelling in Modelica - Comparing Open-source Library Options

2017 ◽  
Author(s):  
Dietmar Winkler
Keyword(s):  
Power System ◽  
Open Source ◽  
Electrical Power ◽  
System Modelling ◽  
Electrical Power System

scholarly journals Essence Electrical Power System Modelling & Simulation

2021 ◽  
Author(s):  
Ijaz Qureshi
Keyword(s):  
Power Generation ◽  
Power System ◽  
Power Distribution ◽  
Electrical Power ◽  
Primary Source ◽  
System Modelling ◽  
Ambient Conditions ◽  
Electrical Power System ◽  
Battery State Of Charge ◽  
Level Model

The following paper outlines and details both the modelling and simulation of the electrical power system employed on ESSENCE. ESSENCE is a low earth orbiting 3U CubeSat with GOMSPACE P110 PV cells as the primary source of power generation. The PV cells are analyzed under varying ambient conditions and resulting output parameters are identified and recorded. Each step of the modelling process is documented as well as reporting of assumptions made and resulting errors that are identified. A solar irradiance model is also developed to determine solar radiation that is incident upon the PV cell surface. With the radiation model and PV model, simulations are ran to determine power generation capabilities through orbit using pre-built simulations. The final stage to the electrical system that is analyzed includes power management and power storage onboard ESSENCE. A power distribution unit is developed to either charge or discharge the battery as loads are varied and finally, a battery state of charge and charge level model is built. Integrations tests are conducted to determine net power draws, both generation and loads through multiple orbits. The resultant battery state is reported upon conclusion of simulation.

scholarly journals Essence Electrical Power System Modelling & Simulation

2021 ◽  
Author(s):  
Ijaz Qureshi
Keyword(s):  
Power Generation ◽  
Power System ◽  
Power Distribution ◽  
Electrical Power ◽  
Primary Source ◽  
System Modelling ◽  
Ambient Conditions ◽  
Electrical Power System ◽  
Battery State Of Charge ◽  
Level Model

The following paper outlines and details both the modelling and simulation of the electrical power system employed on ESSENCE. ESSENCE is a low earth orbiting 3U CubeSat with GOMSPACE P110 PV cells as the primary source of power generation. The PV cells are analyzed under varying ambient conditions and resulting output parameters are identified and recorded. Each step of the modelling process is documented as well as reporting of assumptions made and resulting errors that are identified. A solar irradiance model is also developed to determine solar radiation that is incident upon the PV cell surface. With the radiation model and PV model, simulations are ran to determine power generation capabilities through orbit using pre-built simulations. The final stage to the electrical system that is analyzed includes power management and power storage onboard ESSENCE. A power distribution unit is developed to either charge or discharge the battery as loads are varied and finally, a battery state of charge and charge level model is built. Integrations tests are conducted to determine net power draws, both generation and loads through multiple orbits. The resultant battery state is reported upon conclusion of simulation.

Gradient Ascent Optimization for Fault Detection in Electrical Power System Based on Wavelet Transformation

2019 ◽  
Vol 14 ◽  
Author(s):  
Iyappan Murugesan ◽  
Karpagam Sathish
Keyword(s):  
Feature Extraction ◽  
Fault Detection ◽  
Power System ◽  
Electrical Power ◽  
Daubechies Wavelet ◽  
Electrical Power System ◽  
Gradient Ascent ◽  
Neural Learning ◽  
Weight Value ◽  
Transmission And Distribution

: This paper presents electrical power system comprises many complex and interrelating elements that are susceptible to the disturbance or electrical fault. The faults in electrical power system transmission line (TL) are detected and classified. But, the existing techniques like artificial neural network (ANN) failed to improve the Fault Detection (FD) performance during transmission and distribution. In order to reduce the power loss rate (PLR), Daubechies Wavelet Transform based Gradient Ascent Deep Neural Learning (DWT-GADNL) Technique is introduced for FDin electrical power sub-station. DWT-GADNL Technique comprises three step, normalization, feature extraction and FD through optimization. Initially sample power TL signal is taken. After that in first step, min-max normalization process is carried out to estimate the various rated values of transmission lines. Then in second step, Daubechies Wavelet Transform (DWT) is employed for decomposition of normalized TLsignal to different components for feature extraction with higher accuracy. Finally in third step, Gradient Ascent Deep Neural Learning is an optimization process for detecting the local maximum (i.e., fault) from the extracted values with help of error function and weight value. When maximum error with low weight value is identified, the fault is detected with lesser time consumption. DWT-GADNL Technique is measured with PLR, feature extraction accuracy (FEA), and fault detection time (FDT). The simulation result shows that DWT-GADNL Technique is able to improve the performance of FEA and reduces FDT and PLR during the transmission and distribution when compared to state-of-the-art works.

scholarly journals Optical Voltage Transformer Based on FBG-PZT for Power Quality Measurement

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2699
Author(s):  
Marceli N. Gonçalves ◽  
Marcelo M. Werneck
Keyword(s):  
Power System ◽  
Power Quality ◽  
Distribution System ◽  
Electrical Power ◽  
Quality Measurement ◽  
Pockels Effect ◽  
Electrical Power System ◽  
Voltage Transformer ◽  
Technical Literature ◽  
Distribution Lines

Optical Current Transformers (OCTs) and Optical Voltage Transformers (OVTs) are an alternative to the conventional transformers for protection and metering purposes with a much smaller footprint and weight. Their advantages were widely discussed in scientific and technical literature and commercial applications based on the well-known Faraday and Pockels effect. However, the literature is still scarce in studies evaluating the use of optical transformers for power quality purposes, an important issue of power system designed to analyze the various phenomena that cause power quality disturbances. In this paper, we constructed a temperature-independent prototype of an optical voltage transformer based on fiber Bragg grating (FBG) and piezoelectric ceramics (PZT), adequate to be used in field surveys at 13.8 kV distribution lines. The OVT was tested under several disturbances defined in IEEE standards that can occur in the electrical power system, especially short-duration voltage variations such as SAG, SWELL, and INTERRUPTION. The results demonstrated that the proposed OVT presents a dynamic response capable of satisfactorily measuring such disturbances and that it can be used as a power quality monitor for a 13.8 kV distribution system. Test on the proposed system concluded that it was capable to reproduce up to the 41st harmonic without significative distortion and impulsive surges up to 2.5 kHz. As an advantage, when compared with conventional systems to monitor power quality, the prototype can be remote-monitored, and therefore, be installed at strategic locations on distribution lines to be monitored kilometers away, without the need to be electrically powered.

Analysis between graph-based and Power Transfer Distribution Factors (PTDF)-based model reduction methods in Electric Power Systems

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Diego A. Monroy-Ortiz ◽  
Sergio A. Dorado-Rojas ◽  
Eduardo Mojica-Nava ◽  
Sergio Rivera
Keyword(s):  
Power Systems ◽  
Power System ◽  
Model Reduction ◽  
Electrical Power ◽  
Schur Complement ◽  
Power Transfer ◽  
Electrical Power System ◽  
Admittance Matrix ◽  
Test Beds ◽  
Power Transfer Distribution Factors

Abstract This article presents a comparison between two different methods to perform model reduction of an Electrical Power System (EPS). The first is the well-known Kron Reduction Method (KRM) that is used to remove the interior nodes (also known as internal, passive, or load nodes) of an EPS. This method computes the Schur complement of the primitive admittance matrix of an EPS to obtain a reduced model that preserves the information of the system as seen from to the generation nodes. Since the primitive admittance matrix is equivalent to the Laplacian of a graph that represents the interconnections between the nodes of an EPS, this procedure is also significant from the perspective of graph theory. On the other hand, the second procedure based on Power Transfer Distribution Factors (PTDF) uses approximations of DC power flows to define regions to be reduced within the system. In this study, both techniques were applied to obtain reduced-order models of two test beds: a 14-node IEEE system and the Colombian power system (1116 buses), in order to test scalability. In analyzing the reduction of the test beds, the characteristics of each method were classified and compiled in order to know its advantages depending on the type of application. Finally, it was found that the PTDF technique is more robust in terms of the definition of power transfer in congestion zones, while the KRM method may be more accurate.

Sign in / Sign up

Export Citation Format

Share Document