Browsing by Author "Lopez, Jose Antonio"
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Item Economic Impact of Distribution Grid Operation Scenarios for the Integration of Electric Vehicles(2014-12-03) Madina, Carlos; Zabala, Eduardo; Rodríguez-Sánchez, Raúl; Turienzo, Elena; Lopez, Jose Antonio; Tecnalia Research & InnovationElectric Vehicles (EVs) will become an important part of the transport system in Europe and can thus create a number of benefits in term of oil dependence reduction, air quality improvement and trade balance enhancement. However, they can also become a burden for distribution system operator (DSOs) if they charge in an uncontrolled way. In addition, the increasing deployment of renewable energy sources (RES) and other distributed energy resources (DER) are making the distribution grid planning more complicated than in the past, when consumers were considered to be passive elements and grid was dimensioned to meet peak demand. PlanGridEV project proposes new planning procedures, which take into account the possibility to manage consumers’ electricity demand, including the charging process of EVs, both to better integrate DER and to more efficiently plan the investments in the distribution grid. The planning rules will be validated by carrying out four test beds, which will serve as an input for assessing the economic performance of four scenarios, representing four theoretical alternatives for distribution grid planning. Different services that EVs can provide to DSOs and other actors in the e-mobility ecosystem will be analysed in each scenario. Then, a grid planning tool will be developed to help DSOs consider EVs and demand and other demand response (DR) capabilities when planning distribution grid extension.Item Residential load forecasting under a demand response program based on economic incentives(2015-08-01) Ruiz, Nerea; Claessens, Bert; Jimeno, Joseba; Lopez, Jose Antonio; Six, Daan; POWER SYSTEMSThis paper describes a tool for an Aggregator to forecast the aggregated load demand response of a group of domestic customers subscribed to an indirect load control program based on price/volume signals. The tool employs a bottom-up approach based on physical end-use load models where the individual responses of a random sample of customers are combined in order to build the aggregated load demand response model. Simulation of the individual responses is carried out with an optimization algorithm based on mixed integer linear programming that minimizes the electricity bill whilst maintaining consumer's comfort level. To improve the performance of the model, a genetic algorithm for fitting the input parameters according to measured data is also provided. The tool is intended to allow the Aggregator rehearsing the impact of different control strategies and therefore choosing the most appropriate ones for market participation and portfolio optimization. To exemplify the methodological applicability of the developed algorithm, a case study based on an actual power system in eastern Spain is considered.Item Substation-Aware. An intrusion detection system for the IEC 61850 protocol.(Association for Computing Machinery, 2022-08-23) Lopez, Jose Antonio; Angulo, Iñaki; Martinez, Saturnino; POWER SYSTEMS; DIGITAL ENERGY; Tecnalia Research & InnovationThe number of cyberattacks against the Smart Grid has increased in the last years. Considered as a critical infrastructure, power system operators must improve the cybersecurity countermeasures of their installations. Intrusion Detection Systems (IDS) appears as a promising solution to detect hidden activity of the hackers before launching the attack. Most detection tools are generalist, designed to find predefined patterns such as frequency of messages, well-known malware packets, source and destination of the messages or the content of each packet itself. These tools also allow plugging modules for different protocols, offering a better understanding of the analysed data, such as the protocol action (read, write, reset...) or data model/schema understanding. However, the semantics of the data transmitted cannot be inferred. The Substation-Aware (SBT-Aware) tool adds the latest feature for primary and secondary substations, taking into account not only the protocols defined in the IEC 61850 standard, but the substation topology as well. In this paper we present the SBT-Aware, an IDS that has been developed and tested in the course of the H2020 SDN-microSENSE project.