A Generalized Load Flow Method Including the Steady State Characteristic of Dynamic Devices

2007 ◽  
Author(s):  
Igor Kopcak ◽  
Vivaldo F. da Costa ◽  
Luiz C. P. da Silva
Keyword(s):  
Steady State ◽  
Load Flow ◽  
State Characteristic ◽  
Flow Method

scholarly journals Convergence Evaluation of a Load Flow Method based on Cespedes' Approach to Distribution System Analysis

2016 ◽  
Vol 6 (6) ◽  
pp. 3276
Author(s):  
Diego Issicaba ◽  
Jorge Coelho
Keyword(s):  
Steady State ◽  
Convergence Rate ◽  
Numerical Simulations ◽  
Closed Form ◽  
Distribution System ◽  
System Analysis ◽  
Load Flow ◽  
Steady State Analysis ◽  
Flow Method ◽  
State Analysis

<p>This paper evaluates the convergence of a load flow method based on Cespedes' formulation to distribution system steady-state analysis. The method is described and the closed-form of its convergence rate is deduced. Furthermore, convergence dependence of loading and the consequences of choosing particular initial estimates are verified mathematically. All mathematical results have been tested in numerical simulations, some of them presented in the paper.</p>

Convergence Evaluation of a Load Flow Method based on Cespedes' Approach to Distribution System Analysis

2016 ◽  
Vol 6 (6) ◽  
pp. 3276
Author(s):  
Diego Issicaba ◽  
Jorge Coelho
Keyword(s):  
Steady State ◽  
Convergence Rate ◽  
Numerical Simulations ◽  
Closed Form ◽  
Distribution System ◽  
System Analysis ◽  
Load Flow ◽  
Steady State Analysis ◽  
Flow Method ◽  
State Analysis

<p>This paper evaluates the convergence of a load flow method based on Cespedes' formulation to distribution system steady-state analysis. The method is described and the closed-form of its convergence rate is deduced. Furthermore, convergence dependence of loading and the consequences of choosing particular initial estimates are verified mathematically. All mathematical results have been tested in numerical simulations, some of them presented in the paper.</p>

Load Flow Analysis Using Second-Order Load Flow Methods and its Variations

2015 ◽  
Vol 785 ◽  
pp. 73-77
Author(s):  
Chieng Kai Seng ◽  
Tay Lea Tien ◽  
Syafrudin Masri
Keyword(s):  
Steady State ◽  
Power Flow ◽  
Flow Analysis ◽  
Load Flow ◽  
Second Order ◽  
Basic Tool ◽  
Flow Method ◽  
Load Flow Analysis ◽  
Wide Range ◽  
On Line

The load flow or power flow computer program is the basic tool for investigating the steady-state conditions of power system. This paper introduces improved algorithms based on the basic Second-order Load Flow method for a wide range of electrical bus system sizes. It is attractive for accurate or approximate off- and on-line calculations for routine and contingency purposes. Tests of 4 different variations based on the basic Second-order Load Flow method are run on 6 different standard bus systems and the results are discussed in this paper.

An Efficient Load Flow Method for Weakly Meshed and Radial Distribution Systems

2008 ◽  
Vol 2 (2) ◽  
pp. 55-62
Author(s):  
J. Viswanatha Rao ◽  
S. Sivanagaraju ◽  
P. Umapathi Reddy ◽  
G. Srinivas
Keyword(s):  
Radial Distribution ◽  
Distribution Systems ◽  
Load Flow ◽  
Flow Method

scholarly journals Online Steady-State Security Awareness Using Cellular Computation Networks and Fuzzy Techniques

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 148
Author(s):  
Lili Wu ◽  
Ganesh K. Venayagamoorthy ◽  
Jinfeng Gao
Keyword(s):  
Steady State ◽  
Power System ◽  
Customer Service ◽  
Situation Awareness ◽  
Power Flow ◽  
Load Flow ◽  
Security Level ◽  
Small Disturbance ◽  
State Security ◽  
Cellular Computation

Power system steady-state security relates to its robustness under a normal state as well as to withstanding foreseeable contingencies without interruption to customer service. In this study, a novel cellular computation network (CCN) and hierarchical cellular rule-based fuzzy system (HCRFS) based online situation awareness method regarding steady-state security was proposed. A CCN-based two-layer mechanism was applied for voltage and active power flow prediction. HCRFS block was applied after the CCN prediction block to generate the security level of the power system. The security status of the power system was visualized online through a geographic two-dimensional visualization mechanism for voltage magnitude and load flow. In order to test the performance of the proposed method, three types of neural networks were embedded in CCN cells successively to analyze the characteristics of the proposed methodology under white noise simulated small disturbance and single contingency. Results show that the proposed CCN and HCRFS combined situation awareness method could predict the system security of the power system with high accuracy under both small disturbance and contingencies.

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