Topological Index Analysis and Its Application to Multi-Physical Systems in System Simulation Software

This article studies the flow pulsation of de-icing fluid pump station. First, find the factors affect the extent of flow pulsation through kinetics analysis. Then, base on the summary of the existing pulsation suspension methods (Include combining work of several pumps with an equal original phase differences, changing a single acting pump with a double acting pump), we put forward the method by optimizing the structure of the reciprocating pump to inhibit the flow pulsation. Use system simulation software AMESim to simulate the effect of these methods. Ultimately get the conclusion that the flow pulsation can be controlled at about 12% through these methods. All these works may provide a reference for the design of a de-icing fluid pumping station.

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Power system simulation software for use in cyberspace

Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005. SSST '05. ◽

10.1109/ssst.2005.1460911 ◽

2005 ◽

Author(s):

A. Sekar ◽

B. Mahyavanshi ◽

S.R. Pingili

Keyword(s):

Power System ◽

System Simulation ◽

Simulation Software ◽

Power System Simulation

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Evaluating the Radiation and Temperature Effect on Photovoltaic Systems

Bulletin of Electrical Engineering and Informatics ◽

10.11591/eei.v4i1.305 ◽

2015 ◽

Vol 4 (1) ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

Sobhan Dorahaki

Keyword(s):

Temperature Effect ◽

Radiation Effect ◽

System Simulation ◽

Geographic Area ◽

Simulation Software ◽

Photovoltaic System ◽

Photovoltaic Systems ◽

Matlab Simulink ◽

Temperature Changes ◽

Specific Geographic Area

One of the best ways to identify and design a system is simulating and to achieve this goal, we use simulation software such as MATLAB Simulink. In this study, the relations ruling photovoltaic is described. Then, on the relations basis, a photovoltaic system is simulated in MATLAB software. After photovoltaic system simulation, regardless the specific geographic area, radiation and temperature effect on photovoltaic system is generally simulated. Finally, with regard to radiation and temperature values effect on, it was concluded that we overlook the temperature effect than radiation effect on photovoltaic system designing. It certainly does not mean overlooking the temperature effect. It means a low-effect power changes per temperature changes against radiation.

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Simulation Of Reservoir Operation In A Multi Reservoir System

Journal of University of Shanghai for Science and Technology ◽

10.51201/jusst/21/08423 ◽

2021 ◽

Vol 23 (08) ◽

pp. 451-456

Author(s):

Shashi Kant Jaiswal ◽

Keyword(s):

Performance Evaluation ◽

Simulation Model ◽

Water Resource ◽

Reservoir Operation ◽

System Simulation ◽

Simulation Software ◽

Water Resource System ◽

Reservoir System ◽

Reservoir Project ◽

Resource System

The present study aims to apply simulation software MIKE Basin for the operation of reservoirs of Mahanadi Reservoir Project (MRP) Complex. MRP complex is a multipurpose multi reservoir system. Simulation is a technique by which we emulate the behavior of a system. Simulation is a very powerful technique in analyzing most complex water resource system in detail for performance evaluation. Reservoir operation study has been done for data of 34 years. The results extracted from the study indicated that the performance of simulation model MIKE Basin is satisfactory.

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Establishment on Evaluation Indicator System for Power System Simulation Software

The Open Electrical & Electronic Engineering Journal ◽

10.2174/1874129001408010372 ◽

2014 ◽

Vol 8 (1) ◽

pp. 372-378 ◽

Cited By ~ 1

Author(s):

Shi Bo ◽

Li Yanming

Keyword(s):

Mathematical Model ◽

Power System ◽

System Simulation ◽

Indicator System ◽

Simulation Software ◽

Evaluation Index System ◽

Evaluation Index ◽

Power System Simulation ◽

Evaluation Indicator ◽

Evaluation Indicator System

Computer simulation has become an important means of data processing, calculation analysis, online debugging, closed loop control, fault diagnosis, condition forecasting in power system. In order to solve the problem that there is a lot of power simulation software and users of the software have difficulty in choosing the evaluation index system, this paper studies evaluation indicator system of simulation software based on analytic hierarchy process and provides support for software selection. Firstly, analyzed and summarized the structure of evaluation index system model which consists of 8 indexes, and the indexes were described; Then, create a mathematical model to calculate the weights, including judgment matrix, hierarchical ordering, consistency inspection process; Finally, calculate the evaluation index weigh according to the steps in mathematical model. The results show that posterior simulation function, software maintainability, eigenvalue analysis function, power flow calculation accuracy, these indicators have bigger impact on the power system simulation software, when selecting software these indicators should be considered. The content of this paper is the foundation of system evaluation , and it plays an important role in promoting the informatization level of power system.

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Distributed Co-simulation of Maritime Systems and Operations

Journal of Offshore Mechanics and Arctic Engineering ◽

10.1115/1.4040473 ◽

2018 ◽

Vol 141 (1) ◽

Cited By ~ 7

Author(s):

Severin Sadjina ◽

Lars Tandle Kyllingstad ◽

Martin Rindarøy ◽

Stian Skjong ◽

Vilmar Æsøy ◽

...

Keyword(s):

Best Practices ◽

Performance Studies ◽

System Simulation ◽

Virtual Prototyping ◽

Simulation Software ◽

Model Coupling ◽

Full System ◽

Reusable Component ◽

And Performance ◽

High Level

Here, we present the concept of an open virtual prototyping framework (VPF) for maritime systems and operations that enables its users to develop reusable component or subsystem models, and combine them in full-system simulations for prototyping, verification, training, and performance studies. This framework consists of a set of guidelines for model coupling, high-level and low-level coupling interfaces to guarantee interoperability, a full-system simulation software, and example models and demonstrators. We discuss the requirements for such a framework, address the challenges and the possibilities in fulfilling them, and aim to give a list of best practices for modular and efficient virtual prototyping and full-system simulation. The context of our work is within maritime systems and operations, but the issues and solutions we present here are general enough to be of interest to a much broader audience, both industrial and scientific.

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Deployment of a Software to Simulate Control Systems in the State-Space

Electronics ◽

10.3390/electronics8111205 ◽

2019 ◽

Vol 8 (11) ◽

pp. 1205 ◽

Cited By ~ 2

Author(s):

María Flores ◽

Luis Payá ◽

David Valiente ◽

Julio Gallego ◽

Oscar Reinoso

Keyword(s):

State Feedback ◽

Graphical Representation ◽

Simulation Software ◽

State Feedback Control ◽

Physical Systems ◽

Virtual Plant ◽

Single Output ◽

Multiple Input ◽

Integral Controller ◽

Single Input

In this work, we present a simulation software that permits designing and testing several types of controllers based on both classical and modern control theory. It has been created using Easy JavaScript Simulations, since this software permits implementing interactive simulations of physical systems in a quick and intuitive way. This laboratory contains a SISO (Single-Input and Single-Output) and a MIMO (Multiple-Input and Multiple-Output) plant, which are hydraulic and nonlinear, thus the linear model (linearized equations) and the original model (nonlinerized equations) have been implemented. The user can choose any of these physical systems and they have the options to control them using either continuous-time or discrete-time controllers. All parameters of the plant are fully configurable by the user. After that, the controller can be designed and tested. This simulation software offers several configurations: (a) PID (Proportional, Integral and Derivative controller); (b) state feedback; (c) observer and state feedback; and (d) integral controller, observer and state feedback control. The evolution of the controlled system is visualized using an animation of the virtual plant and a graphical representation of the evolution of the most important variables. In this paper, the steps for the implementation of this simulation software are detailed.

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