scholarly journals Power Flow and Short Circuit Analysis of Distribution System with 300 kW Distributed Generation Connected

2021 ◽  
Vol 1 (1) ◽  
pp. 33-40
Author(s):  
Muhardika Muhardika ◽  
Syahroni Syahroni
Keyword(s):  
Electric Power ◽  
Distributed Generation ◽  
Power Flow ◽  
Short Circuit ◽  
Flow Analysis ◽  
Circuit Analysis ◽  
Electric Power System ◽  
Electrical System ◽  
Power Flow Analysis ◽  
Short Circuit Analysis

Power flow analysis aims to determine the capacity of a generator to serve loads, to know the value of power losses in the electrical system, and to carry out a planning and development of the electric power system. Power flow analysis is carried out in order to find out the characteristics of the electric power system to be built or to be developed as desired. In this study, power flow analysis and short circuit analysis were carried out in the electrical system of Andalas University with 2 conditions, namely, when the conditions were normal or when the Distributed Generation was not added and when the conditions were added, the Distributed Generation (DG) Photovoltaic 300 kW. The results of this study indicate the largest system losses when normal conditions are on bus 1 to bus 2 amounting to 20.21 kW and 6.13 kVar, and when conditions add DG on bus 17 to bus 18 are 230.8 kW and 142.7 kVar. The results of the short circuit analysis of the two conditions are on bus 1 when the condition is experiencing the addition of DG with an increase in average current, namely 1 soil phase of 0.86 kA, 2 phases of 0.175 kA, 2 soil phases of 0.09609 kA, and 3 phases of 0.085273 kA from when the conditions were normal. Keywords : Power Flow Analysis, Short Circuit Analysis, Photovoltaic, Wind Turbine

scholarly journals Load Flow Analysis and Short Circuit Faults with the Additional Distributed Generation Wind Turbine 300 kW at Andalas University

2021 ◽  
Vol 1 (1) ◽  
pp. 41-47
Author(s):  
Fadhel Putra Winarta ◽  
Yoli Andi Rozzi
Keyword(s):  
Power System ◽  
Wind Turbine ◽  
Electric Power ◽  
Power Flow ◽  
Voltage Drop ◽  
Short Circuit ◽  
Flow Analysis ◽  
Load Flow ◽  
Electric Power System ◽  
A Value

The study of electric power flow analysis (Load Flow) is intended to obtain information about the flow of power or voltage in an electric power system network. This information is needed to evaluate the performance of the power system. Electrical power flow problems include calculating the flow and system voltage at certain terminals or buses. The benefits of this power flow study are to find out the voltage at each node in the system, to find out whether all the equipment meets the specified limits to deliver the desired power, and to obtain the original conditions in the new system planning. This study is divided into two: the analysis of data when the conditions have not been added wind turbine and after the addition of 300 kW wind turbine with software power station ETAP software 12.6.0 and the Newton-Raphson method will be used in analyzing the power flow of the electric power system. Based on the results of the tests, it is found that the overall value of losses for power flow before the addition of DG is 0.031 MW and 0.037 Mvar, for the voltage drop with the lowest percentage, namely on bus 10 with a percentage of 96.45 for the 0.4 kV system and the 20 kV system on bus 19 with a percentage of 99.03, the largest% PF load was in lump 1 with 98.64 and the smallest% PF was in lump7 with a value of 84.92. The short circuit data value on the 20 kV bus system at Andalas University before the addition of DG with 3-phase disturbances averaged 13.354 A, 1-phase disturbances averaged 3.521 A, 2-phase disturbances averaged 11.719 A and 2 ground phases of 12.842 A Whereas for the value of power flow after the addition of DG in the form of the wind turbine of 300 kW the overall value of losses is 0.032 MW and 0.042 MvarAR, for the voltage drop with the percentage for voltage drop with the lowest percentage is bus 10 with a percentage of 96.63 for system 0, 4 kV and a 20 kV system on bus 14 with a percentage of 98.1, the largest% PF load is in lump 1 with 98.64 and the smallest% PF is in lump7 with a value of 84.92. The short circuit data value on the 20 kV bus system at Andalas University after the addition of DG with 3 phase disturbances has an average value of 13.354 A, 1 phase disturbance averages 3.523 A, 2 phase disturbances average 11.737 A and 2 phases ground is 12.059 A For the source in this system, after the addition of DG, there was a change in the% PF of the PLN grid, namely 79.53 and the wind turbine -83%.

scholarly journals Análise de fluxo de potência através de métodos numéricos

2019 ◽  
Vol 40 ◽  
pp. 69
Author(s):  
Bruno Pereira do Nascimento ◽  
Caison Rodrigues Ramos ◽  
Aline Brum Loreto
Keyword(s):  
Numerical Methods ◽  
Power Systems ◽  
Transmission Lines ◽  
Power Flow ◽  
Flow Analysis ◽  
Electrical Energy ◽  
Basic Function ◽  
Electric Power System ◽  
Power Flow Analysis ◽  
Definition Of

The basic function of the Electric Power System is to supply electrical energy with quality and when requested. For this to be possible some analysis of the system is required, among them Power Flow Analysis. This analysis is important for the delineation of the power systems, as well as in the definition of the best conditions of operation, control and supervision of the existing systems. The system is modeled as follows: Generators, Loads, Reactors and Capacitors are connected between any node and the ground node, since the transmission lines and transformers are connected between any two nodes. Thus, the admittance matrix of the system will be generated through nodal analysis that will be solved by numerical methods. One of the objectives of this work aims to perform the power flow analysis of a system with the aid of numerical methods. Another objective is as well as to verify the accuracy of the results, with solutions obtained by the methods of Gauss Elimination, LU Factoration, Gauss Seidel and Crout Method, implemented in C language. The analysis of the accuracy of the results occurred through the relative error in comparison to the results obtained by MatLab software.

scholarly journals A Computational Framework for Daily Power Flow Analysis Considering Photovoltaic Distributed Generation

2019 ◽  
Vol 62 (spe) ◽  
Author(s):  
Erico Gurski ◽  
Fillipe Alexandre Moraes ◽  
Paulo Cícero Fritzen ◽  
Raphael Augusto de Souza Benedito
Keyword(s):  
Distributed Generation ◽  
Power Flow ◽  
Flow Analysis ◽  
Computational Framework ◽  
Power Flow Analysis

scholarly journals Hybrid Imperialist Competitive and Grey Wolf Algorithm to Solve Multiobjective Optimal Power Flow with Wind and Solar Units

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2891 ◽  
Author(s):  
Jalel Ben Hmida ◽  
Mohammad Javad Morshed ◽  
Jim Lee ◽  
Terrence Chambers
Keyword(s):  
Power Systems ◽  
Electric Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Analysis ◽  
Electric Power System ◽  
Energy Integration ◽  
Grey Wolf ◽  
Optimal Power ◽  
Grey Wolf Algorithm

The optimal power flow (OPF) module optimizes the generation, transmission, and distribution of electric power without disrupting network power flow, operating limits, or constraints. Similarly to any power flow analysis technique, OPF also allows the determination of system’s state of operation, that is, the injected power, current, and voltage throughout the electric power system. In this context, there is a large range of OPF problems and different approaches to solve them. Moreover, the nature of OPF is evolving due to renewable energy integration and recent flexibility in power grids. This paper presents an original hybrid imperialist competitive and grey wolf algorithm (HIC-GWA) to solve twelve different study cases of simple and multiobjective OPF problems for modern power systems, including wind and photovoltaic power generators. The performance capabilities and potential of the proposed metaheuristic are presented, illustrating the applicability of the approach, and analyzed on two test systems: the IEEE 30 bus and IEEE 118 bus power systems. Sensitivity analysis has been performed on this approach to prove the robustness of the method. Obtained results are analyzed and compared with recently published OPF solutions. The proposed metaheuristic is more efficient and provides much better optimal solutions.

Sign in / Sign up

Export Citation Format

Share Document