scholarly journals Study of power flow in electricity system using extreme learning machine

2021 ◽  
Vol 926 (1) ◽  
pp. 012028
Author(s):  
M Darwis ◽  
I C Gunadin ◽  
S M Said
Keyword(s):  
Power System ◽  
Extreme Learning Machine ◽  
Power Flow ◽  
Reactive Power ◽  
Flow Analysis ◽  
Load Flow ◽  
Machine Method ◽  
Fast Processing ◽  
Learning Machine ◽  
Hidden Layer

Abstract Load Flow or Power Flow Analysis in the power system in used to determine the power system parameters such as voltage, current, active power, and reactive power contained in the power grid. The method that has long been used in the calculation of load flow or power flow is the Newton-Raphson iteration method. As for its development, to complete the power flow study, it is carried out by implementing the Artificial Intelligence method, one of which is the Extreme Learning Machine method. This method is used in the simulation of the simple 39 Bus system calculation from IEEE. In this Extreme Learning Machine, the testing analysis is carried out with 2 inputs, 1 hidden layer, 5 neurons, and 2 outputs and the number of datasets is 39 to produce MAE and MAPE respectively 2.02 and 0.76% and with a very fast processing time of 0.010s

scholarly journals Load Flow Analysis in Hybrid AC-DC Transmission Network

2021 ◽  
pp. 617-624
Author(s):  
Ajith M ◽  
Dr. R. Rajeswari
Keyword(s):  
Power Systems ◽  
Power System ◽  
Transmission Lines ◽  
Power Flow ◽  
Reactive Power ◽  
Short Circuit ◽  
Flow Analysis ◽  
Load Flow ◽  
System Stability ◽  
And Control

Power-flow studies are of great significance in planning and designing the future expansion of power systems as well as in determining the best operation of existing systems. Technologies such as renewables and power electronics are aiding in power conversion and control, thus making the power system massive, complex, and dynamic. HVDC is being preferred due to limitations in HVAC such as reactive power loss, stability, current carrying capacity, operation and control. The HVDC system is being used for bulk power transmission over long distances with minimum losses using overhead transmission lines or submarine cable crossings. Recent years have witnessed an unprecedented growth in the number of the HVDC projects. Due to the vast size and inaccessibility of transmission systems, real time testing can prove to be difficult. Thus analyzing power system stability through computer modeling and simulation proves to be a viable solution in this case. The motivation of this project is to construct and analyze the load flow and short circuit behavior in an IEEE 14 bus power system with DC link using MATLAB software. This involves determining the parameters for converter transformer, rectifier, inverter and DC cable for modelling the DC link. The line chosen for incorporation of DC link is a weak bus. This project gives the results of load flow and along with comparison of reactive power flow, system losses, voltage in an AC and an AC-DC system.

scholarly journals Power flow variation based on extreme learning machine algorithm in power system

2019 ◽  
Vol 10 (3) ◽  
pp. 1244
Author(s):  
Labed Imen ◽  
Labed Djamel
Keyword(s):  
Power System ◽  
Extreme Learning Machine ◽  
Power Flow ◽  
Transient Stability ◽  
Flow Analysis ◽  
Test System ◽  
Electrical Network ◽  
Neural Network Approach ◽  
Algorithm Efficiency ◽  
Learning Machine

<p>The main focus of this paper is a study that empowers us to understand how the temperature variation affects the transmission line resistance and as a result the power flow analysis with a specific end goal to assess losses in the electrical network. The paper is composed of two sections; the first part is a power flow study under normal conditions utilizing the neural network approach while the second investigated extreme learning machine algorithm efficiency and exactitude. Extreme learning machine algorithm has been used to settle several complications in power system: load forecasting, fault diagnosis, economic dispatch, security, transient stability; Thus, we proposed to study this technique to figure out this sort of complex issue.</p>The study was conducted for IEEE 30 bus test system. The simulation results are exposed and analyzed in detail at the end of this paper.

scholarly journals IMPACT OF STATIC VAR COMPENSATORS ON POWER SYSTEM: A CASE STUDY

2014 ◽  
pp. 4-8
Author(s):  
GUNEET KOUR ◽  
G.S. BRAR ◽  
JASWANTI JASWANTI
Keyword(s):  
Power System ◽  
Power Electronics ◽  
Power Flow ◽  
Reactive Power ◽  
Flow Analysis ◽  
Load Flow ◽  
Voltage Profile ◽  
Flexible Control ◽  
Load Flow Analysis ◽  
Reactive Power Flow

With increase in load, any transmission, distribution and generating model suffers from disturbances. These disturbances effect the overall stability of the system. Criterias like voltage profile, power flows, losses tell us about the state of the system under study. Load flow analysis of the system under study is capable of providing the insight of the system. The Emergence of FACTS device is really a step forward for the flexible control or Power System Operations. FACTS is the name given to the application of the power electronics devices to control power flows and other quantities in the power system. But when it comes to implementation stage, optimizing the location becomes a great concern because of the high cost involved with FACTS devices especially converter like SVC, STATCOM etc. Static Var Compensator (SVC) is a power quality device, which employs power electronics to control the reactive power flow of the system where it is connected. It is able to provide fast-acting reactive power compensation on electrical systems. SVC is one of the methods and can be applied to obtain a system with least losses, increased power flow and healthy voltage profile. Number, location and size of SVC are the main concerns and they can be optimized to a great extent by Genetic Algorithm (GA) or any other method. Use of SVC in a system has shown considerable increase in voltage profile and power flows while decrease in losses.

A New Format Power Flow Computation Software Analysis and Design Based on MATLAB

2011 ◽  
Vol 383-390 ◽  
pp. 2346-2349
Author(s):  
Jie Luo ◽  
Wen Hui Wu
Keyword(s):  
Power System ◽  
Power Flow ◽  
Reactive Power ◽  
Flow Analysis ◽  
Load Flow ◽  
Analysis And Design ◽  
Software Analysis ◽  
Load Flow Analysis ◽  
System Data ◽  
Load Flow Calculation

Power flow analysis plays a significant role in both design and operational stage. The purpose of any load flow analysis is to compute accurate steady state voltages and voltage angles of all buses in a network, the real and reactive power flows into every line and transformer, under the assumption of known generation and load. This paper focus on fast decoupled flow, a practical power system has been used as an example to introduce its application in actual calculation, what’s more, develops a fast decoupled load flow calculation program for n-node system by taking advantage of MATLAB. A visual GUI interface is also established with MATLAB. In addition, the paper proposes a new simple power system data format, different from the IEEE standard one. The correctness and simplicity of the proposed format is verified through IEEE-5bus,-9bus,-11bus,-39bus systems.

Research on Fast Decoupled Load Flow Method of Power System

2015 ◽  
Vol 740 ◽  
pp. 438-441 ◽  
Author(s):  
Wei Zheng ◽  
Fang Yang ◽  
Zheng Dao Liu
Keyword(s):  
Power System ◽  
Power Distribution ◽  
Power Flow ◽  
Reactive Power ◽  
Voltage Regulation ◽  
Load Flow ◽  
Reactive Power Optimization ◽  
Flow Calculation ◽  
Steady State Operation ◽  
Numerical Simulation Methods

The power flow calculation is study the steady-state operation of the power system as basic electrical calculations. It is given the power system network topology, device parameters and determines system health boundary conditions, draw a detailed operating status of the power system through numerical simulation methods, such as voltage amplitude and phase angle on the bus system the power distribution and the power loss. Flow calculation is the power system operation, planning and safety, reliability analysis, is fundamental to the system voltage regulation, network reconfiguration and reactive power optimization must call the function, so the trend has very important significance to calculate the power system.

Performance Analysis on Transmission Line for Improvement of Load Flow

2012 ◽  
Vol 433-440 ◽  
pp. 7208-7212
Author(s):  
Ya Min Su Hlaing ◽  
Ze Ya Aung
Keyword(s):  
Steady State ◽  
Power System ◽  
Transmission Line ◽  
Power Flow ◽  
Reactive Power ◽  
Load Flow ◽  
Electric Power System ◽  
Steady State Condition ◽  
Newton Raphson ◽  
Raphson Method

This thesis implements power flow application, Newton-Raphson method. The Newton-Raphson method is mainly employed in the solution of power flow problems. The network of Myanma electric power system is used as the reference case. The system network contains 90 buses and 106 brunches. The weak points are found in the network by using Newton-Raphson method. Bus 16, 17, 85 and 86 have the most weak bus voltages. The medium transmission line between bus 87 and bus 17 is compensated by using MATLAB program software. The transmission line is compensated with shunt reactors, series and shunt capacitors to improve transient and steady-state stability, more economical loading, and minimum voltage dip on load buses and to supply the requisite reactive power to maintain the receiving end voltage at a satisfactory level. The system performance is tested under steady-state condition. This paper investigates and improves the steady–state operation of Myanma Power System Network.

scholarly journals Comparison of Solvers Performance for Load Flow Analysis

2019 ◽  
Vol 3 (1) ◽  
pp. 26 ◽  
Author(s):  
Vishnu Sidaarth Suresh
Keyword(s):  
Steady State ◽  
Power System ◽  
Reactive Power ◽  
Flow Analysis ◽  
Steady State Solution ◽  
Load Flow ◽  
State Solution ◽  
Computational Time ◽  
Load Flow Analysis ◽  
Active And Reactive Power

Load flow studies are carried out in order to find a steady state solution of a power system network. It is done to continuously monitor the system and decide upon future expansion of the system. The parameters of the system monitored are voltage magnitude, voltage angle, active and reactive power. This paper presents techniques used in order to obtain such parameters for a standard IEEE – 30 bus and IEEE-57 bus network and makes a comparison into the differences with regard to computational time and effectiveness of each solver

scholarly journals Improvement of bus voltage profiles of Nigerian power network in the presence of Static Synchronous Compensator (STATCOM) and Doubly Fed Induction Generator (DFIG)

2020 ◽  
Vol 39 (1) ◽  
pp. 228-237
Author(s):  
I.B. Anichebe ◽  
A.O. Ekwue
Keyword(s):  
Renewable Energy ◽  
Stability Analysis ◽  
Power System ◽  
Power Flow ◽  
Voltage Stability ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Load Flow ◽  
Energy Sources ◽  
Power Network

Frequent blackouts and unstable supply of electricity show that the  voltage instability problem has been one of the major challenges facing the power system network in Nigeria. This study investigates the voltage stability analysis of the Nigerian power network in the presence of renewable energy sources; FACTS device is used as a voltage controller. A 330kV, 28-bus power system network was studied using the PSS/E software-based Newton-Raphson load-flow technique. The results show that 10 out of the 28 buses had voltages lying below the statutory limit of 0.95 ≤ 1.05 p.u. The application of STATCOM and DFIG devices on two of the weakest buses restored the voltages to acceptable statutory limits. The total active and reactive power losses were reduced to 18.76% and 18.82% respectively. Keywords: Voltage stability analysis; Integration of renewable energy sources; FACTS controllers, Reactive Power, Power Flow.

Classification of catenary equipment based on a coupled genetic algorithm-extreme learning machine method

2020 ◽  
Vol 62 (1) ◽  
pp. 15-21
Author(s):  
Changdong Wu
Keyword(s):  
Genetic Algorithm ◽  
Extreme Learning Machine ◽  
Monitoring System ◽  
Classification Accuracy ◽  
Activation Function ◽  
Machine Method ◽  
Learning Machine ◽  
Hidden Layer ◽  
Low Dimensional

In an online monitoring system for an electrified railway, it is important to classify the catenary equipment successfully. The extreme learning machine (ELM) is an effective image classification algorithm and the genetic algorithm (GA) is a typical optimisation method. In this paper, a coupled genetic algorithm-extreme learning machine (GA-ELM) technique is proposed for the classification of catenary equipment. Firstly, the GA is used to search for optimal features by reducing the initial multi-dimensional features to low-dimensional features. Next, the optimised features are used as the input to the ELM. The ELM algorithm is then used to classify the catenary equipment. In this process, the impacts of the activation function, the number of hidden layer neurons and different models on the performance of the ELM are discussed in turn. Finally, the proposed method is compared with traditional methods in terms of classification accuracy and efficiency. Experimental results show that the number of feature dimensions decreases to 58% of the original number and the computational complexity is greatly decreased. Moreover, the reduced features and the few steps of the ELM improve the classification accuracy and speed. Noticeably, when the performance of the GA-ELM method is compared with that of the ELM method, the classification accuracy rate is 93.33% compared with 85.83% and the time consumption is 2.25 s compared with 8.85 s, respectively. That is to say, the proposed method not only decreases the number of features but also increases the classification accuracy and efficiency. This meets the needs of a real-time online condition monitoring system.

Dynamic Load Modeling Based on Extreme Learning Machine

2012 ◽  
Vol 195-196 ◽  
pp. 1043-1048
Author(s):  
Zhong Hui Liu ◽  
Zhen Shu Wang ◽  
Mei Hua Su
Keyword(s):  
Power System ◽  
Extreme Learning Machine ◽  
Dynamic Simulation ◽  
Dynamic Load ◽  
Reactive Power ◽  
Power Model ◽  
Load Modeling ◽  
Load Model ◽  
Load Characteristics ◽  
Learning Machine

The dynamic load characteristics have significant impact on the power flow, transient stability computation, voltage stability calculation of the power system, and so on. Noticing that traditional mechanism loads model has difficulty in precisely describing the dynamic characteristics of synthetic load, this paper presents a non-mechanism dynamic load model based on Extreme Learning Machine (ELM). The Power Fault Recorder and Measurement System (PFRMS) is used to obtain data for load modeling. Take voltage and real/reactive power with different time delay as inputs, and take real/reactive power as output, train the ELM using the samples formed by fault data, the real power model and reactive power model are established respectively. The number of hidden layer nodes which has impact on the ELM model is also discussed. Dynamic simulation experiment is conducted at power system dynamic simulation laboratory. The simulation result shows that the ELM load model is simple and flexible, its parameters are easy to be identified. The ELM load model can describe the dynamic load characteristics accurately.

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