Computer aided contingency analysis [of power systems]

2003 ◽  
Author(s):  
W. Carr
Keyword(s):  
Power Systems ◽  
Contingency Analysis ◽  
Computer Aided

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

Computer-Aided FT8® RAM Analysis With On Condition Maintenance

1993 ◽  
Author(s):  
T. L. Gaudette ◽  
Larry Fraser ◽  
S. A. Della Villa
Keyword(s):  
Life Cycle ◽  
Power Systems ◽  
Life Cycle Cost ◽  
Product Introduction ◽  
Marine Systems ◽  
Equipment Manufacturer ◽  
Computer Aided ◽  
Ram Analysis ◽  
Equipment Operator

Product reliability is influenced by both design and operating and maintenance practices. This means both the equipment manufacturer and the equipment’s operator have an impact on the systems’ achievable level of availability. Many variables such as application (utility or cogeneration) or service or duty cycle (peaking, cycling, or continuous duty), influence the expected availability/reliability of any unit. These variables and an understanding of the expected “economic demand” the unit must fill are important elements for a realistic and accurate reliability assessment. These variables also affect the expected maintenance costs associated with the unit. Both the equipment manufacturer and the equipment operator have a vested interest in understanding and influencing this process. If the expected level of reliability/availability is a major requirement of the equipment owner/operator, then there must be an accurate understanding of how the reliability of the unit will be protected over the long term. Thus the unit first cost and life cycle cost can be estimated in a meaningful way. The objective of this paper is to provide an assessment of proved design reliability along with the application of on condition maintenance of Turbo Power and Marine Systems’ (Turbo Power) most recent product introduction, the FT8. A computer-aided reliability analysis was made by Turbo Power with the support of Strategic Power Systems, Inc. (SPS), to demonstrate and support the suitability of the FT8 for both peaking and continuous duty applications utilizing on condition maintenance concepts. Consequently, the presentation of the RAM analysis is organized to assist in developing a complete and comprehensive understanding of the evolution of the product and to develop realistic RAM (Reliability, Availability, and Maintainability) and life cycle cost expectations.

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.

Modeling and Analysis of Spherical Pulsation Dampeners in Fluid Power Systems

2007 ◽  
Author(s):  
Shanzhong Duan ◽  
Mutasim E. Gamal
Keyword(s):  
Power Systems ◽  
New Technologies ◽  
Vibration Reduction ◽  
New Method ◽  
Fluid Power ◽  
Pipeline System ◽  
Modeling And Analysis ◽  
Fluid Systems ◽  
Computer Aided ◽  
Fluid Power Systems

This paper presents a new method for computer-aided modeling and analyzing of pulsation dampeners used in fluid power systems for vibration reduction. The pulsation dampeners are widely used in various fluid power systems to reduce vibration induced by power pumps. The vibration induced by power pumps in fluid systems may be severe enough to cause the damage of components in pipelines if a pulsation dampener is not installed. However, the current methods used in industries for the design and analysis of the dampeners are manually experience-orientated procedures. They are not adaptable to new technologies. The new modeling method will efficiently automate and improve the current modeling and analysis procedure of various pulsation dampeners with a minimum user effort. The proposed method is a result of utilizing the analogy between electrical circuits and hydraulic circuits. In the new method, a spherical pulsation dampener can be equivalent to a lumped hydraulic circuit installed in a distributed fluid pipeline system. In short, the new method will circumvent some obstacles and introduce new techniques for computer-aided modeling and designing of the dampeners for vibration reduction in fluid power systems.

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