Site Authorization Service (SAZ)

In this paper we present a methodology to provide an additional level of centralized control for the grid resources. This centralized control is applied to site-wide distribution of various grids and thus providing an upper hand in the maintenance.Comment: Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, CA, USA, March 2003, 3 pages, PSN TUBT00

Centralized control for robot fleets

La presente memoria presenta los diferentes aspectos que conforman el proyecto. El documento se compone de las siguientes secciones: El capítulo 2 muestra una ligera descripción del Estado del Arte en materia de gestión de flotas de robots para realizar trabajos cooperativos. Esto es, en qué consisten las flotas de robots, por qué se usan y cuáles han sido las diferentes soluciones que se han llevado a cabo en la historia para la gestión de las mismas así como los pros y contras de cada una de estas soluciones. Asimismo se detallan los requisitos que impondremos al sistema a desarrollar así como las limitaciones que tendrá el mismo. En el capítulo 3 se detallan las bases teóricas en las que se fundamenta el trabajo y que creemos necesarias explicar para la correcta comprensión del mismo. El capítulo 4 recoge el diseño de la solución técnica, esto es, una descripción detallada del sistema así como información relevante acerca de diferentes aspectos del mismo tanto en la parte de visión artificial como en la parte de robótica. Los apartados 5 y 6 muestran como se ha llevado a cabo el proyecto y las pruebas efectuadas (así como resultados y consideraciones). Finalmente en el capítulo 7 se exponen las conclusiones extraídas, las líneas futuras de trabajo y las posibles repercusiones que puede tener el sistema implementado en el campo de la robótica y la visión artificial.Ingeniería de Sistemas de Comunicacione

Non-centralized Control for Flow-based Distribution Networks: A Game-theoretical Insight

This paper solves a data-driven control problem for a flow-based distribution network with two objectives: a resource allocation and a fair distribution of costs. These objectives represent both cooperation and competition directions. It is proposed a solution that combines either a centralized or distributed cooperative game approach using the Shapley value to determine a proper partitioning of the system and a fair communication cost distribution. On the other hand, a decentralized noncooperative game approach computing the Nash equilibrium is used to achieve the control objective of the resource allocation under a non-complete information topology. Furthermore, an invariant-set property is presented and the closed-loop system stability is analyzed for the non cooperative game approach. Another contribution regarding the cooperative game approach is an alternative way to compute the Shapley value for the proposed specific characteristic function. Unlike the classical cooperative-games approach, which has a limited application due to the combinatorial explosion issues, the alternative method allows calculating the Shapley value in polynomial time and hence can be applied to large-scale problems.Generalitat de Catalunya FI 2014Ministerio de Ciencia y Educación DPI2016-76493-C3-3-RMinisterio de Ciencia y Educación DPI2008-05818Proyecto europeo FP7-ICT DYMASO

Optimal centralized control application on microgrids

International audienc

A coordination mechanism with fair cost allocation for divergent multi-echelon inventory systems

This paper is concerned with the coordination of inventory control in divergent multiechelon inventory systems under periodic review and decentralized control. All the installations track echelon inventories. Under decentralized control the installations will decide upon replenishment policies that minimize their individual inventory costs. In general these policies do not coincide with the optimal policies of the system under centralized control. Hence, the total cost under decentralized control is larger than under centralized control.\ud To remove this cost inefficiency, a simple coordination mechanism is presented that is initiated by the most downstream installations. The upstream installation increases its base stock level while the downstream installation compensates the upstream one for increased costs and provides it with additional side payments. We show that this mechanism coordinates the system; the global optimal policy of the system is the unique Nash equilibrium of the corresponding strategic game. Furthermore, the mechanism results in a fair allocation of the costs; all installations enjoy cost savings

Centralized Control System for Cement Plant

Centralised Control System for Cement Plant is a control system with multiple Siemens PLC CPUs, each CPU has its own control station called Field Control Station (FCS). There are 3 FCS altogether communicating each other and sharing data through Ethernet communication system as defined in its sharing Data Block (DB). Each FCS has multiple I/O cards (Digital Input, Digital Output, Analog Input, Analog Output) and CPU. Cement plant has different manufacturing stages, first one is Limestone Crusher which is getting controlled by FCS named FCS01, second is Raw Mill Grinding (RMG) for grinding limestone with different impurities and its using FCS02. Third stage 5 is Kiln system for burning the grinded feed to make the Clinker (Cement) and its using FCS03. Each FCS is at some meter distance from each other. All the FCS are communicating through Ethernet and fibre optics communication. It can share any data up to 400 bytes at a time. In this project I am sharing 20 bytes to demonstrate the communication. Some of the data are binary control signal and some of them are analogue parameters, PLCs will take decision depends on the data they receive from other PLC. Due to unavailability of physical PLC, I am simulating my project on Siemens simulator, here I have used Siemens PLC CPU S7 -400 CPUs with each FCS and each FCS has 32 input DI card, 32 output DO card and different AI/AO card with respect to the requirement. I have used Simatic Step7 to program the multiple PLCs and using WinCC to design mimic on the screen. I have made one screen with multiple tabs to access particular FCS data. Operator who is sitting in Common Control Room (CCR) can see all the data (Analog, Digital) in the CCR. Each Motor circuit has multiple parameters and control signals that operator can see in CCR and can give start/stop command to any motor from the mimic in the CCR. These control signals come from the electrical cabinets to the PLC and I have designed the PLC in a way that if all control signals fulfil its condition then PLC with accept operator command or else PLC will notify operator about any particular signal missing or not available. After taking command, if any control signal malfunctioned then PLC will trip the motor and will generate an alarm to notify operator why it happened. This control system is also logging all the analogue parameters for nearly up to 3 months and if operator wanted to see any analogue parameters activity can see by going into the trend window and there, operator needs to put the particular date and time to see the graphical representation. This system also logs all the alarms for up to 1000 alarms and if operator want then he can go in alarm list and see how many times alarm occurred and even he can search any particular alarm in the list with alarm number