Thesis (M.S.)--University of Wisconsin--Madison, 1966. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

This thesis presents a method to do transient simulation of a large power system using dynamic phasors and electromagnetic transient simulation. A novel hybrid simulation technique using dynamic phasor equivalent is presented to analyse a part of a large power system. Electromagnetic transient simulation is used to model the part of the network that needs detailed simulation. The synchronous reference frame phase locked loop is implemented as the interface between the electromagnetic transient model and the dynamic phasor model. Two types of positive sequence filters i) sinusoidal signal integrator phase locked loop ii) extended phase locked loop are presented to eliminate the voltage unbalance effect in a phase locked loop. A comparison of the performance of the two filters is presented. The validation of the proposed interface is done using EMT simulation on real time digital simulator. Finally the numerical problems involved in this hybrid method are discussed. / February 2016

No description available.

This thesis presents a new general purpose power system simulation technique based on dynamic phasors and conventional power system simulation methods. The method developed in this work converts time-domain circuits to equivalent dynamic phasor representations. These dynamic phasor equivalents are then simulated using nodal analysis and numerical integrator substitution. Simple linear circuit models are presented first in order to demonstrate that the new method is capable of accurately simulating small systems. The method developed in this work is then expanded to include control systems, power electronic converters, and synchronous machines. Visual comparisons with simulation results obtained using time-domain electromagnetic transient simulators demonstrate that the new dynamic phasor-based technique is capable of accurately simulating power system components.

Thesis (M.S.)--University of Wisconsin--Madison, 1967. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

In order to cope with the challenges in industry today, such as changes in product diversity and production volume, manufacturing companies are forced to react more flexibly and swiftly. Furthermore, in order for them to survive in an ever-changing market, they also need to be highly competitive by achieving near optimal efficiency in their operations. Production scheduling is vital to the success of manufacturing systems in industry today, because the near optimal allocation of resources is essential in remaining highly competitive. The overall aim of this study is the advancement of research in manufacturing scheduling through the exploration of more effective approaches to address complex, real-world manufacturing flow shop problems. The methodology used in the thesis is in essence a combination of systems engineering, algorithmic design and empirical experiments using real-world scenarios and data. Particularly, it proposes a new, web services-based, industrial scheduling system framework, called OPTIMISE Scheduling System (OSS), for solving real-world complex scheduling problems. OSS, as implemented on top of a generic web services-based simulation-based optimisation (SBO) platform called OPTIMISE, can support near optimal and real-time production scheduling in a distributed and parallel computing environment. Discrete-event simulation (DES) is used to represent and flexibly cope with complex scheduling problems without making unrealistic assumptions which are the major limitations of existing scheduling methods proposed in the literature. At the same time, the research has gone beyond existing studies of simulation-based scheduling applications, because the OSS has been implemented in a real-world industrial environment at an automotive manufacturer, so that qualitative evaluations and quantitative comparisons of scheduling methods and algorithms can be made with the same framework. Furthermore, in order to be able to adapt to and handle many different types of real-world scheduling problems, a new hybrid meta-heuristic scheduling algorithm that combines priority dispatching rules and genetic encoding is proposed. This combination is demonstrated to be able to handle a wider range of problems or a current scheduling problem that may change over time, due to the flexibility requirements in the real-world. The novel hybrid genetic representation has been demonstrated effective through the evaluation in the real-world scheduling problem using real-world data.

The oil barge operation in Kaohsiung harbor is one of typical systems of resources allocation problems in a complex and dynamic environment. Such system is far more difficult to deal with than a static and deterministic system and often depends on experienced human experts for the oil barge assignment. One of the major dilemmas faced by the system is that decision makers do not know the managerial efficiency under the current dispatching mechanism. Besides, if the dispatching rules have been modified due to the resource variation in the future, how would the changes affect the system? The current research is trying to develop an evaluation system for oil barge assignment. The objective of the system is to evaluate the overall performances of the oil barge operation in Kaohsiung harbor. Both expert system and system simulation techniques would be applied for such analysis. To acquire the current heuristic of oil barge assignment and then transfer it to a rule-based knowledge in an expert system, the interview with the engineer, who is responsible for making such decision, is the crucial step. With the knowledge base and the reasoning mechanism available, it is possible to imitate the current oil barge assignment. To further evaluate the performance of such assignment rule, the current research has developed the system simulation model of oil barge operation. This model is able to quantify the service quality under various assignment scenarios. The results of simulation can further be presented to the decision makers with easy-understanding animations. The case study would focus on Kaohsiung harbor¡¦s oil barge operation. The integrity and suitability of the expert system and simulation model have been validated through extensive statistical analysis. At last, various scenario analysis based on such integrated models have been conducted to improve the current oil barge operation and to set the appropriate response plans confronted by the future development of Kaohsiung harbor as the Asia-Pacific transshipment center.

Zugl.: Bremen, Universiẗat, Diss., 2008.

H εργασία πραγματεύεται την παρουσίαση μιας σχετικά νέας αντικειμενοστραφούς γλώσσας προγραμματισμού της Modelica, η οποία έχει αναπτυχθεί κυρίως από Πανεπιστήμια των βορείων Ευρωπαϊκών χωρών σε άμεση συνεργασία και ενεργό συμμετοχή των μεγάλων βιομηχανιών όπως η Dassult, η SAAB, η AUDΙ κλπ. Περίπου από το 2000-01 άρχισαν οι πρώτες οργανωμένες προσπάθειες για την καθιέρωση του προτύπου Modelica μιας γλώσσας εξειδικευμένης στην δημιουργία – ανάπτυξη μοντέλων για την μελέτη της συμπεριφοράς αυτών με τεχνικές προσομοίωσης. Η προσπάθεια που γίνεται στην εργασία αυτή είναι να γνωρίσει κανείς τις δυνατότητες που παρέχονται στην προσομοίωση των συστημάτων μέσα από τη χρήση της γλώσσας Modelica. Σημειώνεται ότι η Modelica χρησιμοποιείται όχι μόνο για ακαδημαϊκούς σκοπούς αλλά και στη βιομηχανία. Η δομή της παρουσίασης της Modelica σχετίζεται αρχικά με την εννοιολογική ερμηνεία όρων όπως μοντέλο, σύστημα, προσομοίωση και στη συνέχεια με τους τρόπους δημιουργίας μοντέλων – συστημάτων. Εφόσον ο αναγνώστης έχει κατανοήσει τις βασικές έννοιες που θα μας απασχολήσουν σε όλη την εργασία ακολουθεί η παρουσίαση της γλώσσας Modelica. Προκειμένου η γλώσσα να γίνει κατανοητή, όπως άλλωστε συμβαίνει με όλες τις γλώσσες προγραμματισμού, απαραίτητη είναι η αναφορά στις δομικές έννοιες που συνθέτουν την γλώσσα Modelica. Αξιολογώντας στο σημείο αυτό όσα αναφέρονται παρακάτω θα πρέπει να πούμε ότι τις έννοιες που συναντάει κανείς στις διάφορες γλώσσες προγραμματισμού ανωτέρου επιπέδου (όπως Java, C++, C#..) τις συναντά και στη Modelica. Έτσι οι έννοιες class, Inheritance, methods, functions χρησιμοποιούνται ευρύτατα ενώ επιπλέον νέες έννοιες εισάγονται όπως Connections, Connectors, Packets, models κλπ προκειμένου η Modelica να πραγματώσει με τον καλύτερο τρόπο το σκοπό επινόησής της. Επίσης, κατά την παρουσίαση μιας γλώσσας, ιδιαίτερα όταν πρόκειται για αντικειμενοστραφή γλώσσα, δεν μπορεί κανείς να παραλείψει να αναφερθεί στην πληθώρα των βιβλιοθηκών που έχουν αναπτυχθεί πολλές από τις οποίες είναι προσβάσιμες από όλους και άλλες για εμπορικούς σκοπούς. Με τον τρόπο αυτό θα διαπιστώσει ο αναγνώστης τη σημασία που έχει η Modelica βάσει του μεγέθους των εργασιών που έχουν επιτελεσθεί και είναι μάλιστα προσβάσιμες από οιανδήποτε ενδιαφερόμενο, δημιουργώντας τις προϋποθέσεις ώστε κανείς να προχωράει τη μελέτη του από το σημείο που έχει σταματήσει κάποιος άλλος και χωρίς να αναγκάζεται να εργασθεί για θέματα που ήδη έχουν επιλυθεί, αλλά να συγκεντρώνει τις προσπάθειες του για κάτι νέο. Προς το τέλος της εργασίας περιγράφονται τα διάφορα περιβάλλονται που υπάρχουν και μέσω των οποίων μπορεί κανείς να προσομοιάσει τα μοντέλα του. Επιπρόσθετα, θα γίνει εφαρμογή – κατασκευή μοντέλων σταδιακά επεκτεινόμενα σε περιβάλλον OpenModelica το οποίο είναι και δωρεάν. Τέλος γίνεται παράθεση – προτροπή χρήσης της Modelica σε νέες γνωστικές – ερευνητικές περιοχές όπου ο γράφων εκτιμά ότι θα μπορούσε η Modelica να αποφέρει αξιοσημείωτα αποτελέσματα. / The assignment deals with the presentation of a relatively new object-oriented programming language Modelica, which has been developed mainly from the Universities of Nordic European countries in close cooperation and active participation of major industries such as Dassult, the SAAB, etc. Around the AUDI from 2000 - 01 began the first organized efforts to establish a standard Modelica language specialized in creation - development of models to study the behavior of these techniques and simulation. The efforts being made in this paper is to introduce one of the options provided in the simulation of systems through the use of language Modelica. Note that Modelica is used not only for academic purposes but also in industry. The structure of the presentation of Modelica associated initially with the conceptual interpretation of terms such as model system, simulation and then how modeling - systems. If the reader has understood the key concepts we employ throughout the paper follows the presentation of language Modelica. In order for the language to be understood, as is the case with all programming languages, it is necessary to refer to the structural concepts that comprise the language Modelica. Evaluating at this point what is mentioned below should be said that the concepts you meet in different programming languages ​​higher level (such as Java, C + +, C # ..) and meets the Modelica. So the concepts class, Inheritance, methods, functions are widely used while additional new concepts are introduced such as Connections, Connectors, Packets, models, etc. in order to realize the Modelica with the best way to invent it. Also, during the presentation of a language, especially when it comes to object-oriented language, one can not fail to mention the plethora of libraries that have been developed, many of which are accessible by all other commercial purposes. In this way the reader will realize the importance of Modelica based on the size of the work done and is even accessible from any interested party, paving the way so that no one goes to study from the point you stopped someone else without being forced to work on issues that have already been resolved, but the efforts to collect on something new. Towards the end of the work describes the different environments that exist through which one can simulate models. Additionally, it will be implemented - modeling gradually expanding in OpenModelica environment which is free. Finally we quote - prompt use of Modelica

International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California / NASA Marshall Space Flight Center’s Bantam Robust Guidance Navigation & Control Project is investigating off the shelf navigation sensors that may be inexpensively combined into Kalman filters specifically tuned for launch and orbital vehicles. For this purpose, Marshall has purchased several GPS receivers and is evaluating them for these applications. The paper will discuss the receiver selection criteria and the test equipment used for evaluation. An overview of the analysis will be presented including the evaluation used to determine their success or failure. It will conclude with goals of the program and a recommendation for all GPS users.