Browsing by Author "Jimeno, J."
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Item Architectural framework for the integration of distributed resources(2003) Jimeno, J.; Laresgoiti, I.; Oyarzabal, J.; Stene, B.; Bacher, R.; POWER SYSTEMS; Tecnalia Research & InnovationDeregulation of the electricity sector, environmental concern, advances i in Information and Communication Technologies (ICT) and the appearance of new cost effective energy generation technologies, are driving the traditionally safe and reliable electrical network onto a situation in which the quality level of electricity supply will not only have to be maintained, but even increased, although difficulties for doing it will be greater than before due to uncertainties arising from competitive market driven transactions. The integration of market management together with the physical management of the electrical network creates several problems that the use of ICTs is going to help to solve. In this context, Internet andjthe Semantic Web technologies appear as the most cost effective and promising way to achieve the interoperation of bothlinterrelated worlds. Scada is the basic system for every process control. The data provided by the Scada system is mainly focused onto the control of the process without taking into account that the information can be used for other means and by other services within a utility. The research performed in this paper reports on the ways to achieve the ntitization of the SCADA information in different kind of applications by wrapping the data values coming from the process with the semantic meaning of what they mean, and its use for different energy related applications.Item Development and Initial testing of a Virtual Laboratory for the Build-up and Testing of Microgrid Management Algorithms(2022-09) Fernández, G.; Menéndez, A.; Meneses, P.; Zubiria, A.; García, A.; Díez, F.; Jimeno, J.; Rodríguez-Seco, J.E.; Cortés, F.; POWER SYSTEMS; Tecnalia Research & InnovationIn a bid of facilitating the increasing penetration of intermittent and random renewable energies, microgrids along with their management algorithms are becoming crucial assets. To prove their effectiveness, these algorithms need to be tested in real environments and/or laboratories, which can be very difficult in many cases, especially at the initial development stages. To solve this issue, this article proposes the use of a laboratory digital twin, i.e., a virtual laboratory with a behaviour that is similar to that of real installations, aimed at facilitating the development, testing and debugging of microgrids management algorithms. The proposed solution is demonstrated to be safe and complete when it comes to test these algorithms.Item Forecasting flexibility in electricity demand with price/consumption volume signals(2013-02) Gorria, C.; Jimeno, J.; Laresgoiti, I.; Lezaun, M.; Ruiz, N.; POWER SYSTEMS; Tecnalia Research & InnovationThe introduction of renewable energy sources, particularly wind power, is limited by their dependence on weather conditions and by the difficulty of storing surplus energy for use at times when production is low. One effective way of tackling the energy storage problem is to minimise the need for storage, i.e. to switch from a system based on producing electricity in response to the unpredictable whims of demand to one in which consumption adapts to supply. Demand can be managed indirectly via the sending of price/consumption volume signals. This paper presents a mathematical model for forecasting the aggregated electricity demand of a group of domestic consumers signed up to an incentive-based demand management programme. Under this programme consumers receive signals that offer financial incentives for limiting their volume of consumption at time intervals when system peak demand is forecast. The resulting optimisation model is a mixed-integer linear programming problem implemented in JAVA and solved using free software. This model is applied to a case study in which the objective is to limit consumption by a population of 15932 consumers from 15:00 to 17:45 on a specific summer day. The responses to two different incentive amounts are shown.Item Semantic Web technology for Grid control(2008) Liutkus, G.; Jimeno, J.; Laresgoiti, I.; Schowe-Von Der Brelie, B.; Schnettler, A.; Schröder, A.; Werlen, K.; POWER SYSTEMS; Tecnalia Research & InnovationToday, semantic technologies are deployed in the representation of knowledge and the development of inference engines that can incorporate reasoning capabilities to the systems. The S-TEN technology is extending the Semantic Web technologies for applications in industrial sectors. In the field of active distribution networks several objectives are addressed: to enable an automatic re-configuration of a microgrid, to improve the integration of dispersed generation by enhanced monitoring and control processes and to facilitate the integration of demand resources into the control of the grid using market mechanisms. The grids of the electrical network of the future will need to be highly automated, will require a reduced human intervention and will have a dynamic characteristic. Dynamic characteristic indicates the possibility of the equipment connected in the network to connect, disconnect and provide services to the central controller for managing the network. This capability will require plug and play capabilities that need the specification of standard protocols and data exchange models. But apart from this it also requires to provide self-describing capabilities to the devices and inference capabilities to the grid controller. Within the EU project S-TEN, co-funded by the European Community's Sixth Framework Programme (FP6), three applications will be developed in the area of power systems, two of them being presented in this paper. One application is dedicated to microgrid control and the other one focuses on the mechanisms for demand side bidding and resources dispatch. A description of the third application committed to the monitoring and control of distributed energy resources is given in [2]. 1. Microgrid control application The application that is going to be developed is related with the secondary control of a microgrid, but taking into account that the knowledge about the components that can be controlled makes the re-configuration of the network simpler. This advantage of adjustable operation facilitates the penetration of renewables, and makes possible an intelligent and distributed reaction to disturbances that can deviate the operation of the microgrid from its intended purpose. In the paper, the components of the microgrid will be described as well as the normal operation scenario and a set of disturbances or deviations from a normal scenario. The kind of disturbances that will be considered are failures of generation sources, the shutdown of modules in charge of scheduling the resources or the failure of generators to give the assigned power to the network. Besides, it will show the ontology used for the selfdescription of one of the components. 2. Demand-Side Bidding Demand-Side Bidding (DSB) enables the supplier to adjust his Spot Market bids. Such optimized exploitation of loads during the planning phase requires appropriate measures during the operation phase in order to guarantee a balanced system. Today DSB is only applied to dedicated large single consumers or groups of large consumers with similar behaviour. An appropriate Control, Metering and Communication (CMC) infrastructure is customized based on a case by case analysis. The S-TEN approach suggests a more generic CMC infrastructure based on Semantic Web technologies. It reduces costs and enables wider DSB participation of smaller consumers. S-TEN technology will support the self-description of devices and the publishing of services on the web, e. g. storage capabilities of heating and cooling devices could be published dynamically on the web. This information will be exploited for improved bids on one hand and a balanced system within a trading period on the other hand. Additional information on the applications and on the project is provided at the project's website.