Pipeline multiprocessor algorithm for contingency analysis in power systems

2001 ◽  
Author(s):  
M. Kacarska ◽  
D. Andonov ◽  
V. Glamocanin ◽  
B. Stojkovska
Keyword(s):  
Power Systems ◽  
Contingency Analysis

Power systems contingency analysis using bus impedance matrix

2018 ◽  
Author(s):  
Othon F. Avila ◽  
Rafaella M. B. Prado ◽  
Carine M. B. Silva ◽  
Vander M. Costa
Keyword(s):  
Power Systems ◽  
Impedance Matrix ◽  
Contingency Analysis

scholarly journals Fuzzy ranking based non-dominated sorting genetic algorithm-II for network overload alleviation

2014 ◽  
Vol 63 (3) ◽  
pp. 367-384 ◽  
Author(s):  
K. Pandiarajan ◽  
C.K. Babulal
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Optimization Problem ◽  
Pareto Optimal ◽  
Contingency Analysis ◽  
Nsga Ii ◽  
Generation Cost ◽  
Fuzzy Ranking ◽  
Network Overload ◽  
Line Overload

Abstract This paper presents an effective method of network overload management in power systems. The three competing objectives 1) generation cost 2) transmission line overload and 3) real power loss are optimized to provide pareto-optimal solutions. A fuzzy ranking based non-dominated sorting genetic algorithm-II (NSGA-II) is used to solve this complex nonlinear optimization problem. The minimization of competing objectives is done by generation rescheduling. Fuzzy ranking method is employed to extract the best compromise solution out of the available non-dominated solutions depending upon its highest rank. N-1 contingency analysis is carried out to identify the most severe lines and those lines are selected for outage. The effectiveness of the proposed approach is demonstrated for different contingency cases in IEEE 30 and IEEE 118 bus systems with smooth cost functions and their results are compared with other single objective evolutionary algorithms like Particle swarm optimization (PSO) and Differential evolution (DE). Simulation results show the effectiveness of the proposed approach to generate well distributed pareto-optimal non-dominated solutions of multi-objective problem

scholarly journals Exploiting Coarse-Grained Parallelism Using Cloud Computing in Massive Power Flow Computation

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2268 ◽  
Author(s):  
Dong-Hee Yoon ◽  
Sang-Kyun Kang ◽  
Minseong Kim ◽  
Youngsun Han
Keyword(s):  
Cloud Computing ◽  
Power Systems ◽  
Power System ◽  
Power Flow ◽  
Computation Time ◽  
Coarse Grained ◽  
Contingency Analysis ◽  
Flow Computation ◽  
Cloud Computing System ◽  
The Impact

We present a novel architecture of parallel contingency analysis that accelerates massive power flow computation using cloud computing. It leverages cloud computing to investigate huge power systems of various and potential contingencies. Contingency analysis is undertaken to assess the impact of failure of power system components; thus, extensive contingency analysis is required to ensure that power systems operate safely and reliably. Since many calculations are required to analyze possible contingencies under various conditions, the computation time of contingency analysis increases tremendously if either the power system is large or cascading outage analysis is needed. We also introduce a task management optimization to minimize load imbalances between computing resources while reducing communication and synchronization overheads. Our experiment shows that the proposed architecture exhibits a performance improvement of up to 35.32× on 256 cores in the contingency analysis of a real power system, i.e., KEPCO2015 (the Korean power system), by using a cloud computing system. According to our analysis of the task execution behaviors, we confirmed that the performance can be enhanced further by employing additional computing resources.

Pervasive Grid for Large-Scale Power Systems Contingency Analysis

2006 ◽  
Vol 2 (3) ◽  
pp. 165-175 ◽  
Author(s):  
Q. Morante ◽  
N. Ranaldo ◽  
A. Vaccaro ◽  
E. Zimeo
Keyword(s):  
Power Systems ◽  
Large Scale ◽  
Contingency Analysis

Efficient Contingency Analysis in Power Systems via Network Trigger Nodes

2021 ◽  
Author(s):  
Anika Tabassum ◽  
Supriya Chinthavali ◽  
Sangkeun Lee ◽  
Nils Stenvig ◽  
Bill Kay ◽  
...  
Keyword(s):  
Power Systems ◽  
Contingency Analysis
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