Evaluation of Linear Implicit Quantized State System method for analyzing mission performance of power systems

Author(s):  
Navid Gholizadeh ◽  
Joseph M Hood ◽  
Roger A Dougal

The Linear Implicit Quantized State System (LIQSS) method has been evaluated for suitability in modeling and simulation of long duration mission profiles of Naval power systems which are typically characterized by stiff, non-linear, differential algebraic equations. A reference electromechanical system consists of an electric machine connected to a torque source on the shaft end and to an electric grid at its electrical terminals. The system is highly non-linear and has widely varying rate constants; at a typical steady state operating point, the electrical and electromechanical time constants differ by three orders of magnitude—being 3.2 ms and 2.7 s respectively. Two important characteristics of the simulation—accuracy and computational intensity—both depend on quantization size of the system state variables. At a quantization size of about 1% of a variable’s maximum value, results from the LIQSS1 method differed by less than 1% from results computed by well-known continuous-system state-space methods. The computational efficiency of the LIQSS1 method increased logarithmically with increasing quantization size, without significant loss of accuracy, up to some particular quantization size, beyond which the error increased rapidly. For the particular system under study, a “sweet spot” was found at a particular quantum size that yielded both high computational efficiency and good accuracy.

2010 ◽  
Vol 121-122 ◽  
pp. 74-79
Author(s):  
Yan Cheng Liu ◽  
Chuan Wang

This paper presents a non-linear math model on ship power station and numerical simulation, aiming at describing dynamic characteristic of electric propulsion ship shipboard power system precisely. Non-linear differential algebraic equations are given by differential equation modeling theory, concerning with diesel engine speed characteristics, electromagnetic and electrical transient characteristics (Φd, Φq, Ed", Eq", E'q, ω, δ as status variables) of synchronous generator and voltage characteristics of excitation system. Then the non-linear equations are solved by implicit trapezoidal integration method, finally dynamic curves of status variables such as voltage, speed of rotor, three phase current of stator and so on are drawn based on simulation program written by C#.NET. Simulation results demonstrate that the non-linear math model proposed by this paper is reasonable, and the results are theory foundation of transient stability on ship integrated power system for further research.


2020 ◽  
Author(s):  
Gilles Mpembele ◽  
Jonathan Kimball

<div>The analysis of power system dynamics is usually conducted using traditional models based on the standard nonlinear differential algebraic equations (DAEs). In general, solutions to these equations can be obtained using numerical methods such as the Monte Carlo simulations. The use of methods based on the Stochastic Hybrid System (SHS) framework for power systems subject to stochastic behavior is relatively new. These methods have been successfully applied to power systems subjected to</div><div>stochastic inputs. This study discusses a class of SHSs referred to as Markov Jump Linear Systems (MJLSs), in which the entire dynamic system is jumping between distinct operating points, with different local small-signal dynamics. The numerical application is based on the analysis of the IEEE 37-bus power system switching between grid-tied and standalone operating modes. The Ordinary Differential Equations (ODEs) representing the evolution of the conditional moments are derived and a matrix representation of the system is developed. Results are compared to the averaged Monte Carlo simulation. The MJLS approach was found to have a key advantage of being far less computational expensive.</div>


Author(s):  
Stefan Reichl ◽  
Wolfgang Steiner

This work presents three different approaches in inverse dynamics for the solution of trajectory tracking problems in underactuated multibody systems. Such systems are characterized by less control inputs than degrees of freedom. The first approach uses an extension of the equations of motion by geometric and control constraints. This results in index-five differential-algebraic equations. A projection method is used to reduce the systems index and the resulting equations are solved numerically. The second method is a flatness-based feedforward control design. Input and state variables can be parameterized by the flat outputs and their time derivatives up to a certain order. The third approach uses an optimal control algorithm which is based on the minimization of a cost functional including system outputs and desired trajectory. It has to be distinguished between direct and indirect methods. These specific methods are applied to an underactuated planar crane and a three-dimensional rotary crane.


SIAM Review ◽  
1998 ◽  
Vol 40 (2) ◽  
pp. 344-346 ◽  
Author(s):  
Mazi Shirvani ◽  
Joseph W. H. So

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