An algebraic-geometric and topological analysis of the solution to the load-flow equations for a power system

1981 ◽  
Author(s):  
John Baillieul ◽  
Christopher I. Byrnes ◽  
Robert B. Washburn
Keyword(s):  
Power System ◽  
Topological Analysis ◽  
Load Flow ◽  
Flow Equations

Integrated Power Flow Analysis with Large-scale Solar Photovoltaic Power Systems Employing N-R Method

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Girisha H Navada ◽  
K. N. Shubhanga
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Flow ◽  
Large Scale ◽  
Control Strategies ◽  
Linear Equations ◽  
Flow Analysis ◽  
Load Flow ◽  
Flow Equations ◽  
Single Machine Infinite Bus

Abstract A method is proposed to modify the conventional load flow programme to accommodate large-scale Solar PhotoVoltaics (SPV) power plant with series power specifications. The programme facilitates easy handling of any number of SPV systems with standard control strategies such as pf-control and voltage-control, considering solar inverter’s power constraints. In this method, the non-linear equations related to SPV systems, located at multiple locations, are solved with the main load flow equations in an integrated fashion, considerably reducing the implementation task. This task is achieved by augmenting the inverter buses to the existing power system network in such a way that the changes required in the conventional programme are minimal. To show the effectiveness of the proposed method, it is compared with the alternate-iteration method popularly followed in the literature. The workability of the proposed method has been demonstrated by using a Single Machine Infinite Bus (SMIB) system and the IEEE14-bus power system with SPV systems. Various test cases pertaining to meteorological variables and control strategies are also presented.

scholarly journals FACTS location and size for reactive power system compensation through the multi-objective optimization

2010 ◽  
Vol 20 (4) ◽  
pp. 473-489 ◽  
Author(s):  
Messaoud Belazzoug ◽  
Mohamed Boudour ◽  
Karim Sebaa
Keyword(s):  
Power System ◽  
Reactive Power ◽  
Test System ◽  
Load Flow ◽  
Electrical Network ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Flow Equations ◽  
Multi Objective ◽  
System Compensation

FACTS location and size for reactive power system compensation through the multi-objective optimizationThe problem of the FACTS (Flexible Alternative Current Transmission System Devices) location and size for reactive power system compensation through the multi-objective optimization is presented in this paper. A new technique is proposed for the optimal setting, dimension and design of two kinds of FACTS namely: Static Volt Ampere reactive (VAR) Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) handling the minimization of transmission losses in electrical network. Using the proposed scheme, the type, the location and the rating of FACTS devices are optimized simultaneously. The problem to solve is multi criteria under constraints related to the load flow equations, the voltages, the transformer turn ratios, the active and reactive productions and the compensation devices. Its solution requires the the advanced algorithms to be applied. Thus, we propose an approach based on the evolutionary algorithms (EA) to solve multi-criterion problem. It is similar to the NSGA-II method (Ellitist Non Dominated Sorting Genetic Algorithm). The Pareto front is obtained for continuous, discrete and multiple of five MVArs (Mega Volt Ampere reactive) of compensator devices for the IEEE 57-bus test system (IEEE bus test is a standard network).

Advanced teaching method for learning power system operation based on load flow simulations

2021 ◽  
Author(s):  
Andrés Honrubia‐Escribano ◽  
Raquel Villena‐Ruiz ◽  
Estefanía Artigao ◽  
Emilio Gómez‐Lázaro ◽  
Ana Morales
Keyword(s):  
Power System ◽  
Teaching Method ◽  
Load Flow ◽  
System Operation ◽  
Power System Operation ◽  
Flow Simulations ◽  
Advanced Teaching

scholarly journals Competition in Power Generation: Ex-ante Analysis of Indonesia’s Electricity Market

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6741
Author(s):  
Dzikri Firmansyah Hakam ◽  
Sudarso Kaderi Wiyono ◽  
Nanang Hariyanto
Keyword(s):  
Power System ◽  
Market Structure ◽  
Market Power ◽  
Electricity Markets ◽  
Electricity Market ◽  
Regulatory Reform ◽  
Optimal Number ◽  
Load Flow ◽  
Utility Company ◽  
Competitive Electricity Markets

This research optimises the mix and structure of Generation Companies (GenCos) in the Sumatra power system, Indonesia. Market power, indicating the ability to raise prices profitably above the competitive level, tends to be a significant problem in the aftermath of electricity market restructuring. In the process of regulatory reform and the development of competitive electricity markets, it is desirable and practical to establish an efficient number of competitor GenCos. Simulations of a power system account for multi-plant mergers of GenCos subject to a regulatory measure of the Residual Supply Index and the influence of direct current load flow and the topology of the system. This study simulates the Sumatra power system in order to determine the following: optimal market structure, efficient GenCo generation mix, and the optimal number of competitive GenCos. Further, this study seeks to empirically optimise the electricity generation mix and electricity market structure of the Sumatra power system using DC load flow optimisation, market power index, and multi-plant monopoly analysis. The simulations include generation and transmission constraints to represent network constraints. This research is the first to analyse the Sumatra power system using imperfect (Cournot) competition modelling. Furthermore, this study is the first kind to optimise the mix and structure of the Sumatra generation power market. The guidelines and methodology in this research can be implemented in other countries characterised by a monopoly electricity utility company.

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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