scholarly journals Modeling and Load Flow Analysis of a Microgrid Laboratory.

2019 ◽  
Vol 3 (2) ◽  
pp. 103-111
Author(s):  
Taufik ◽  
Matthew A. Guevara ◽  
Ali Shaban ◽  
Ahmad Nafisi
Keyword(s):  
Renewable Energy ◽  
Hardware Implementation ◽  
Flow Analysis ◽  
Load Flow ◽  
Electric Power System ◽  
State University ◽  
Electrical Grid ◽  
Load Flow Analysis ◽  
Simulation Results ◽  
Hardware Test

Microgrids-miniature versions of the electrical grid are becoming increasingly more popular as advancements in technologies, renewable energy mandates, and decreased costs drive communities to adopt them. The modern microgrid has capabilities of generating, distributing, and regulating the flow of electricity, capable of operating in both grid-connected and islanded (disconnected) conditions. This paper utilizes ETAP software in the analysis, simulation, and development of a lab-scale microgrid located at Cal Poly State University. Microprocessor-based relays are heavily utilized in both the ETAP model and hardware implementation of the system. Three case studies were studied and simulated to investigate electric power system load flow analysis of the Cal Poly microgrid. Results were compared against hardware test measurements and showed overall agreement. Slight discrepancies were observed in the simulation results due mainly to the non-ideality of actual hardware components and lab equipment.

scholarly journals Modelling and Validation of a Grid-Connected DFIG by Exploiting the Frequency-Domain Harmonic Analysis

2020 ◽  
Vol 10 (24) ◽  
pp. 9014
Author(s):  
Emmanuel Hernández-Mayoral ◽  
Reynaldo Iracheta-Cortez ◽  
Vincent Lecheppe ◽  
Oscar Alfredo Jaramillo Salgado
Keyword(s):  
Pulse Width Modulation ◽  
Flow Analysis ◽  
Power Converter ◽  
Load Flow ◽  
Operating Conditions ◽  
Electrical Grid ◽  
Wind Energy Conversion Systems ◽  
Load Flow Analysis ◽  
Energy Conversion Systems ◽  
Doubly Fed

Wind Energy Conversion Systems (WECS) based on a Doubly-Fed Induction Generator (DFIG) represent the most common configuration employed in wind turbines. These systems involve injecting harmonic currents toward an electrical grid from a back-to-back power converter, potentially creating voltage distortions. To assess this phenomenon, a case study of a 3 kW DFIG-based wind turbine connected to the electrical grid is presented for analysis in the harmonic domain. Initially, a DFIG-based load flow analysis for determining the operating conditions is tackled at the fundamental frequency. Then, the modelling of a DFIG under steady-state operating conditions at harmonic frequencies is analyzed discussing its characteristics in the harmonic domain. The high-frequency harmonics in the output voltage of a pulse width modulation-driven inverter feeding the rotor windings of a DFIG and its connection to a three-winding transformer are also analyzed. This investigation produced a complete model of the DFIG connected to the electrical grid. The results demonstrated that although a considerable harmonic contribution up to the 25th order exists, it remains harmless since it is below 5%, according to the Std. IEEE 519.

scholarly journals Electrical grid reliability assessment by fault tree analysis

2020 ◽  
Vol 17 (3) ◽  
pp. 1127
Author(s):  
Ahmed Agwa ◽  
Zaky Matter ◽  
Ezzat Eisawy ◽  
Hamdy Hassan
Keyword(s):  
Fault Tree ◽  
Flow Analysis ◽  
Reliability Assessment ◽  
Fault Tree Analysis ◽  
Electrical Energy ◽  
Load Flow ◽  
System Planning ◽  
Electrical Grid ◽  
Load Flow Analysis ◽  
Planning And Operation

<p>The main rule of an electrical grid is to supply electrical energy to consumers as economically as possible, and with an adequate degree of reliability. Reliability is an essential measure and important component of all power system planning and operation procedures. In this paper, the electrical grid reliability is evaluated by Fault Tree (FT) analysis. In this method Alternating Current (AC) load flow analysis is combined with the FT technique. The electrical grid reliability is calculated based on the unreliability of the power supplied to the loads. The verification of the method is performed on a part of the Egyptian electrical grid (Alexandria zone 17-bus). The electrical grid components are sorted according to their influence on the electrical grid reliability.</p>

scholarly journals A Mixed Method Approach for the Analysis of Variable Renewable Energy Integration in Developing and Fragile States

2021 ◽  
Author(s):  
Luca Pizzimbone
Keyword(s):  
Renewable Energy ◽  
Mixed Method ◽  
Flow Analysis ◽  
Load Flow ◽  
Distribution Functions ◽  
Fragile States ◽  
Energy Integration ◽  
Mixed Method Approach ◽  
Load Flow Analysis ◽  
Method Approach

<p>The paper presents a mixed method approach for the analysis of power systems in augmented uncertainty scenarios, related to the increasing penetration of variable renewable energy and country specific constraints to be found in fragile states.</p> <p>In the formulated methodology, both deterministic and probabilistic load flow have their own specific, necessary and interactive role. To establish the soundness of the methodology, the analysis is conducted for a real case study, along with wind speed measurements (eleven-month duration), visual model validations, statistical and load flow analysis.</p> <p>The probabilistic simulations are based on Monte Carlo (MC) analysis. Synthetic data are created from probabilistic distribution functions (PDF) calculated on original measured samples, operational constraints, and load uncertainties. These data are processed by load flow simulations and the results consolidated and analyzed.</p> <p>To facilitate the implementation of the proposed methods, scripts developed in Python programming language have been created for the analysis of statistical data, sample generation, post processing, data visualization and the interaction with conventional software for load flow analysis. The scripts are made public and available for download.</p> <p>The proposed methodology of analysis, conceptualized for developing and fragile states, may also be used as a basis for all power system planning where the number of uncertainties is no longer negligible, and the use of deterministic methods alone would provide inadequate results.</p>

scholarly journals Pengembangan Perangkat Lunak Untuk Analisis Aliran Beban Tiga Fasa Pada Jaringan Tegangan Rendah Dengan Metode Newton Berbasis Calculus Wirtinger

2020 ◽  
Vol 10 (2) ◽  
pp. 20-27
Author(s):  
Hayatul Harifin ◽  
Novalio Daratha ◽  
M. Khairul Amri Rosa
Keyword(s):  
Power System ◽  
Electric Power ◽  
Reactive Power ◽  
Initial Conditions ◽  
Flow Analysis ◽  
Electrical Equipment ◽  
Load Flow ◽  
Electric Power System ◽  
Load Flow Analysis ◽  
Load Flow Calculation

AbstractLoad flow analysis is a study to plan and determine the amount of power in an electric power system. During its development, industry requires a large amount of electric power and uses electrical equipment as a means of production. The benefits of an electric load flow analysis are to find out the amount of power in the electric power system whether it still meets predetermined limits, and to find out the amount of voltage at each point, and to obtain initial conditions for the new system planning. Load flow analysis begins calculating the active power and reactive power at each node (bus) installed, loading on the channel or conductor, the load flow calculation will be assisted using the Julia program. From the results of calculations using the Julia program, the voltage at each point with the smallest stress is obtained, namely the 10th point of 209.89 - j10.34V for phase A, -107.39 - j186.87V for phase B, -108.12 + j178,51V for phase CKey Words: Drop Voltage, Julia, Load Flow

scholarly journals Load Flow Analysis After the Entry of Renewable Power Plants in the Sulselrabar System

2021 ◽  
Vol 5 (2) ◽  
pp. 80-87
Author(s):  
Muhammad Ruswandi Djalal ◽  
Makmur Saini ◽  
A.M Shiddiq Yunus
Keyword(s):  
Power System ◽  
Electric Power ◽  
Power Flow ◽  
Power Plants ◽  
Flow Analysis ◽  
Load Flow ◽  
Active Power ◽  
Electric Power System ◽  
Renewable Power ◽  
Load Flow Analysis

Power flow analysis in an electric power system is an analysis that reveals the performance of an electric power system and the flow of power (active and reactive) for certain conditions when the system is working. The analysis was carried out using the ETAP 16.00 software, the method used was the newton rapshon by taking a case study of normal conditions. From the results of the study, it can be seen that the power flow that occurs in each channel of the 150 kV system in the South Sulawesi system. The amount of active power (MW) that occurs during normal conditions based on the simulation is 1730.87 MW, where the active power is the largest, which is 171 MW from BUS15_TLASA to BUS13_SGMNSA. For the voltage data, there is a slight comparison of the voltage during the simulation compared to the PLN data.

scholarly journals A Mixed Method Approach for the Analysis of Variable Renewable Energy Integration in Developing and Fragile States

2021 ◽  
Author(s):  
Luca Pizzimbone
Keyword(s):  
Renewable Energy ◽  
Mixed Method ◽  
Flow Analysis ◽  
Load Flow ◽  
Distribution Functions ◽  
Fragile States ◽  
Energy Integration ◽  
Mixed Method Approach ◽  
Load Flow Analysis ◽  
Method Approach

<p>The paper presents a mixed method approach for the analysis of power systems in augmented uncertainty scenarios, related to the increasing penetration of variable renewable energy and country specific constraints to be found in fragile states.</p> <p>In the formulated methodology, both deterministic and probabilistic load flow have their own specific, necessary and interactive role. To establish the soundness of the methodology, the analysis is conducted for a real case study, along with wind speed measurements (eleven-month duration), visual model validations, statistical and load flow analysis.</p> <p>The probabilistic simulations are based on Monte Carlo (MC) analysis. Synthetic data are created from probabilistic distribution functions (PDF) calculated on original measured samples, operational constraints, and load uncertainties. These data are processed by load flow simulations and the results consolidated and analyzed.</p> <p>To facilitate the implementation of the proposed methods, scripts developed in Python programming language have been created for the analysis of statistical data, sample generation, post processing, data visualization and the interaction with conventional software for load flow analysis. The scripts are made public and available for download.</p> <p>The proposed methodology of analysis, conceptualized for developing and fragile states, may also be used as a basis for all power system planning where the number of uncertainties is no longer negligible, and the use of deterministic methods alone would provide inadequate results.</p>

Modeling of SCIG-Based Variable Speed Wind Turbine in Power Factor Control Mode for Load Flow Analysis

2021 ◽  
Vol 5 (6) ◽  
pp. 43-48
Author(s):  
Rudy Gianto ◽  
Ade Elbani
Keyword(s):  
Electric Power ◽  
Power Factor ◽  
Flow Analysis ◽  
Load Flow ◽  
Electric Power System ◽  
Control Mode ◽  
Variable Speed ◽  
Power Distribution System ◽  
Load Flow Analysis ◽  
Power Factor Control

As they are more efficient in extracting wind energy, variable speed wind power plants (WPPs) are currently replacing the fixed speed WPPs. One possible way to achieve a variable speed WPP is by using a squirrel cage induction generator (SCIG) with full-scale power electronic converter (PEC). In fact, as its cost is relatively lower, the application of SCIG-based variable speed WPP is gaining popularity nowadays. To be able to perform proper analyses (including the load flow analysis) of an electric power system, valid and accurate modeling of the system components is very important. This paper discusses the steady state model of SCIG-based variable speed WPP in power factor control mode for a load flow analysis of an electric power distribution system. The model was developed based on formulas that calculate the turbine mechanical power input and WPP electrical power output. Integration of the proposed model in load flow analysis is also discussed and presented in this paper.

scholarly journals A Mixed Method Approach for the Analysis of Variable Renewable Energy Integration in Developing and Fragile States

2021 ◽  
Author(s):  
Luca Pizzimbone
Keyword(s):  
Renewable Energy ◽  
Mixed Method ◽  
Flow Analysis ◽  
Load Flow ◽  
Distribution Functions ◽  
Fragile States ◽  
Energy Integration ◽  
Mixed Method Approach ◽  
Load Flow Analysis ◽  
Method Approach

<p>The paper presents a mixed method approach for the analysis of power systems in augmented uncertainty scenarios, related to the increasing penetration of variable renewable energy and country specific constraints to be found in fragile states.</p> <p>In the formulated methodology, both deterministic and probabilistic load flow have their own specific, necessary and interactive role. To establish the soundness of the methodology, the analysis is conducted for a real case study, along with wind speed measurements (eleven-month duration), visual model validations, statistical and load flow analysis.</p> <p>The probabilistic simulations are based on Monte Carlo (MC) analysis. Synthetic data are created from probabilistic distribution functions (PDF) calculated on original measured samples, operational constraints, and load uncertainties. These data are processed by load flow simulations and the results consolidated and analyzed.</p> <p>To facilitate the implementation of the proposed methods, scripts developed in Python programming language have been created for the analysis of statistical data, sample generation, post processing, data visualization and the interaction with conventional software for load flow analysis. The scripts are made public and available for download.</p> <p>The proposed methodology of analysis, conceptualized for developing and fragile states, may also be used as a basis for all power system planning where the number of uncertainties is no longer negligible, and the use of deterministic methods alone would provide inadequate results.</p>

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