Variable time step, implicit integration for extended-term power system dynamic simulation

Sanchez-Gasca, J.J.; D’Aquila, R.; Price, W.W.; Paserba, John

doi:10.1109/pica.1995.515182

Cited by 51 publications

(42 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Variable time-step integration methods facilitates to alter the time-step on the run based on a local error of an estimated value for a time step and an actual value. If the local error is above a threshold, the program automatically alters the time-step of the integration [34,35].…”

Section: Variable Time-step Integration and Early Termination Methodsmentioning

confidence: 99%

Application of energy-based power system features for dynamic security assessment

Geeganage

Annakkage

Weekes

et al. 2015

2015 IEEE Power &Amp; Energy Society General Meeting

View full text Add to dashboard Cite

To date, the potential of on-line Dynamic Security Assessment (DSA)-to monitor, alert, and enhance system security-is constrained by the longer computational cycle time. Traditional techniques requiring extensive numerical computations makes it challenging to complete the assessment within an acceptable time. Longer computational cycles produce obsolete security assessment results as the system operating point evolves continuously. This thesis presents a DSA algorithm, based on Transient Energy Function (TEF) method and machine learning, to enable frequent computational cycles in on-line DSA of power systems.The use of selected terms of the TEF as pre-processed input features for machine learning demonstrated the ability to successfully train a contingency-independent classifier that is capable of classifying stable and unstable operating points. The network is trained for current system topology and loading conditions. The classifier can be trained using a small dataset when the TEF terms are used as input features. The prediction accuracy of the proposed scheme was tested under the balanced and unbalanced faults with the presence of voltage sensitive and dynamic loads for different operating points. The test results demonstrate the potential of using the proposed technique for power system on-line DSA. Power system devices such as HVDC and FACTS can be included in the algorithm by incorporating the effective terms of a corresponding TEF.An on-line DSA system requires the integration of several functional components.Some of these components already exist and the others are newly introduced to the i power system. The practicality of the proposed technique in terms of a) critical data communications aspects b) computational hardware requirements; and c) capabilities and limitations of the tools in use was tested using an implementation of an on-line DSA system. The test power system model was simulated using a real-time digital simulator. The other functional units were distributed over the Local Area Network (LAN). The implementation indicated that an acceptable computational cycle time can be achieved using the proposed method.In addition, the work carried out during this thesis has produced two tools that can be used for a) web-based automated data generation for power system studies; and b) testing of on-line DSA algorithms.ii

show abstract

Section: Variable Time-step Integration and Early Termination Methodsmentioning

confidence: 99%

Application of energy-based power system features for dynamic security assessment

Geeganage

Annakkage

Weekes

et al. 2015

2015 IEEE Power &Amp; Energy Society General Meeting

View full text Add to dashboard Cite

show abstract

“…Approaches that automatically adjust the time step of integration in accordance with the system's dominant transients are used to study both short and long-term dynamic phenomena in integrated simulation tools [2]- [4]. The main idea behind these approaches is to automatically reduce the time step to capture fast transients.…”

Section: Introductionmentioning

confidence: 99%

“…As fast modes decay during the solutions process, the time step is gradually increased to reduce the computation time required to capture slow transients. The time step size (and possibly the order) of the integration method are adjusted, usually according to a truncation error defined as the difference between predicted and corrected solutions [2], [4], or the weighted root square mean norm of all corrected values of dynamic and algebraic variables [3]. The integration steps have to be further adjusted in order to fall on the time instants where discrete state events (such as variables hitting their limits) take place.…”

Section: Introductionmentioning

confidence: 99%

A two-time scale simulation for dynamic analysis of power systems

Ramírez-Betancour

Fuerte‐Esquivel

Cutsem

2012

Electric Power Systems Research

View full text Add to dashboard Cite

This paper proposes a two-time scale simulation approach of both short-term and long-term dynamics in power systems.The short-term transient period is analyzed by a full-time scale simulation while a quasi-steady state model of the power system is used to simulate long-term dynamics. The proposed method is inspired of Singular Perturbation theory to model the interaction between the short-term and long-term dynamics. Based on this interaction, a suitable criterion to determine when the quasi-steady state model of a power system can be considered as a uniform approximation of the full-time scale model is proposed, which also determines the appropriate switching time between models. The proposed method is demonstrated on the 10-machine, 39-bus New England system and a 46-machine, 190-bus equivalent Mexican system.

show abstract

“…Among them, variable-step size algorithms have been also implemented to speed up the computation [6]. As the power systems community technological paradigm for integration has traditionally focused on the accuracy of the solution, integration methods for timedomain simulation with increasing accuracy (and growing complexity) have been proposed [7], [1], [2], [8], [9], [10], [11]. The trapezoidal method has been soon recommended [1] and is widely used.…”

mentioning

confidence: 99%

Simplified time-domain simulation of detailed long-term dynamic models

Fabozzi

Cutsem

2009

2009 IEEE Power &Amp; Energy Society General Meeting

View full text Add to dashboard Cite

Abstract-Time-domain simulation of power system long-term dynamics involves the solution of large sparse systems of nonlinear stiff differential-algebraic equations. Simulation tools have traditionally focused on the accuracy of the solution and, in spite of many algorithmic improvements, time simulations still require a significant computational effort. In some applications, however, it is sufficient to have an approximate system response of the detailed model. The paper revisits the merits of the Backward Euler method and proposes a strategy to control its step size, with the objective of filtering out fast stable oscillations and focusing on the aperiodic behaviour of the system. The proposed method is compared to detailed simulation as well as to the quasi-steadystate approximation. Illustrative examples are given on a small but representative system, subject to long-term voltage instability.Index Terms-long-term dynamics, stiff decay property, backward Euler method, quasi-steady-state approximation, long-term voltage instability

show abstract

Variable time step, implicit integration for extended-term power system dynamic simulation

Cited by 51 publications

References 15 publications

Application of energy-based power system features for dynamic security assessment

Application of energy-based power system features for dynamic security assessment

A two-time scale simulation for dynamic analysis of power systems

Simplified time-domain simulation of detailed long-term dynamic models

Contact Info

Product

Resources

About