Power Systems Monitoring and Control using Telecom Network Management Standards

Historically, different solutions have been developed for power systems control and telecommunications network management environments. The former was characterized by proprietary solutions, while the latter has been involved for years in a strong standardization process guided by criteria of openness. Today, power systems control standardization is in progress, but it is at an early stage compared to the telecommunications management area, especially in terms of information modeling. Today, control equipment tends to exhibit more computational power, and communication lines have increased their performance. These trends hint at some conceptual convergence between power systems and telecommunications networks from a management perspective. This convergence leads us to suggest the application of well-established telecommunications management standards for power systems control. This paper shows that this is a real medium-to-long term possibility

Deployment of Digital Video and Audio Over Electrical SCADA Networks

With the arrival of new hardware and software technologies, supervisory control and data acquisition human-machine interfaces (SCADA/HMI), usually text-based, can now benefit from the advantages the inclusion of multimedia information brings. However, due to the special requirements imposed by such systems, integrating audio and video data into the SCADA interfaces is not a trivial task. In this document we analyze those special characteristics and propose solutions so this integration is possible in power systems communication.Ministerio de Ciencia y Tecnología TIC2000-0367-P4-0

Apuntes en formato electrónico para el estudio de los conceptos de modulación analógica y digital aplicados a la enseñanza en comunicaciones

Se ha desarrollado una aplicación informática que permite el estudio de los distintos sistemas de modulación, tanto de señales analógicas como digitales, con un formato de apuntes de clase, en el cual el alumno interactúa con sus apuntes durante su estudio, de manera que es preguntado a medida que se presentan conceptos nuevos y se le permite visualizar diferentes comportamientos de la realidad expuesta dependiendo de los datos que introduzca el propio alumno. Creemos que hay multitud de asignaturas que podrían tomar el mismo camino, y empezar a desarrollar software educativo orientado a facilitar el aprendizaje por parte de los alumnos

IDOLO: Multimedia Data Deployment on SCADA Systems

IDOLO project was born with the objective of adding audiovisual information to the usually text-based Human-Machine Interfaces (HMI) used on Supervisory Control And Data Acquisition (SCADA) systems. This is not a simple task, as SCADA systems have traditionally been based on proprietary, low transmission speed networks, due to the special requirements that such systems impose in terms of network reliability and timing requirements. Within this paper we describe our efforts on the design, implementation and deployment of a networked computer system that adds multimedia information to the usually textbased SCADA/HMI systems. IDOLO system is based on wellknown hardware and software solutions, such as Ethernet networks or MPEG codecs, resulting in a flexible and expandable system that has succesfully been deployed on a real electrical facility

Multi-agent and embedded system technologies applied to improve the management of power systems

This article explores a number of improvements made on Supervisory Control and Data Acquisition (SCADA) systems which allow them to be successfully used for automated surveillance. Even telecontrol operators who have limited experience with computers were able to employ the system without any difficulties. Other advances made by taking advantage of the strongest features of embedded and multi-agent system technologies are also featured in this article. These developments have been tested in a true industrial environment. Positive results and feedback have been provided by the tests

Multiagent System powered by Neural Network for positioning control of solar panels: An optimization for sun tracking systems

This paper presents a model of neural network for position control of solar panels in multiagent-based control systems. This neural network is integrated within agents in order to optimize and predict the best positioning of solar panels depending on the position of the sun and other variables. The agents in this system can cooperate and coordinate to achieve a sun tracking system optimized, simple and adaptive.Junta de Andalucía P08-TIC-03862 (CARISMA

Simulation and Implementation of a Neural Network in a Multiagent System

This paper presents the simulation and the implementation of a model of a neural network applied to a multiagent system by using the Neuroph framework. This tool enables several tests to be carried out and verify which structure is the best structure of our neural network for a specific application. In our case, we simulated the neural network for a sun-tracking control system in a solar farm. Initial implementation shows good results in performance, thereby providing an alternative to traditional solar-tracking systems.Junta de Andalucía P08-TIC-03862 (CARISMA

Architecture for Multiagent-Based Control Systems

This paper presents a multiagent architecture that covers the new requirements for the new control systems such as the distribution and decentralisation of system elements, the definition of communications between these elements, the fast adaptation in the control and organizational changes. The agents in this architecture can cooperate and coordinate to achieve a global goal, encapsulate the hardware interfaces and make the control system easily adapt to different requirements through configuration. Finally, the proposed architecture is applied to a control system of a solar power plant, obtaining a preliminary system that achieve the goals of simplicity, scalability, flexibility and optimization of communications system.Junta de Andalucía P08-TIC-0386

Multiple intelligences in a MultiAgent System applied to telecontrol

This paper presents a control system, based on artificial intelligence technologies, that implements multiple intelligences. This system aims to support and improve automatic telecontrol of solar power plants, by either automatically triggering actuators or dynamically giving recommendations to human operators. For this purpose, the development of a MultiAgent System is combined with a variety of inference systems, such as Expert Systems, Neural Networks, and Bayesian Networks. This diversity of intelligent technologies is shown to result in an efficient way to mimic the reasoning process in human operators.Junta de Andalucía P08-TIC-0386