Browsing by Author "Pinto, Tiago"
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- Characterization of new flexible players: Deliverable D3.2Publication . Chrysanthopoulos, Nikolaos; Papadaskalopoulos, Dimitrios; Strbac, Goran; Schimeczek, Christoph; Kochems, Johannes; Vries, Laurens de; Sanchez, Ingrid; Algarvio, Hugo; Couto, António; Pinto, Tiago; Hernandez-Serna, Ricardo; Johanndeiter, Silke; Estanqueiro, AnaABSTRACT: The subject matter of this report is the analysis of the electricity markets’ actors’ scene, through the identification of actor classes and the characterisation of actors from a behavioural and an operational perspective. The technoeconomic characterization of market participants aims to support the upcoming model enhancements by aligning the agent-based model improvements with the modern market design challenges and the contemporary characteristics of players. This work has been conducted in the context of task T3.2, which focuses on the factorization of the distinctive operational and behavioural characteristics of players in market structures. Traditional parties have been considered together with new and emerging roles, while special focus has been given on new actors related to flexible technologies and demand-side response. Among the main objectives have been the characterization of individual behaviours, objectives and requirements of different electricity market players, considering both the traditional entities and the new distributed ones, and the detailed representation of the new actors.
- Decision support for energy contracts negotiation with game theory and adaptive learningPublication . Pinto, Tiago; Vale, Zita; Praça, Isabel; Pires, E. J. Solteiro; Lopes, FernandoThis paper presents a decision support methodology for electricity market players’bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts’ negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems’ technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players’ decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator—MIBEL. Results show that the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations.
- New actor types in electricity market simulation models: Deliverable D4.4Publication . Machado, Ana Rita; Couto, António; Schimeczek, Christoph; Qiu, Dawei; José, Débora Regina S.; Papadaskalopoulos, Dimitrios; Strbac, Goran; Algarvio, Hugo; Sanchez, Ingrid; Kochems, Johannes; Nienhaus, Kristina; Vries, Laurens de; Chrysanthopoulos, Nikolaos; Pinto, Tiago; Estanqueiro, Ana; Cvetkovic, MilosABSTRACT: The modelling of agents in the simulation models and tools is of primary importance if the quality and the validity of the simulation outcomes are at stake. This is the first version of the report that deals with the representation of electricity market actors’ in the agent based models (ABMs) used in TradeRES project. With the AMIRIS, the EMLab-Generation (EMLab), the MASCEM and the RESTrade models being in the centre of the analysis, the subject matter of this report has been the identification of the actors’ characteristics that are already covered by the initial (with respect to the project) version of the models and the presentation of the foreseen modelling enhancements. For serving these goals, agent attributes and representation methods, as found in the literature of agent-driven models, are considered initially. The detailed review of such aspects offers the necessary background and supports the formation of a context that facilitates the mapping of actors’ characteristics to agent modelling approaches. Emphasis is given in several approaches and technics found in the literature for the development of a broader environment, on which part of the later analysis is deployed. Although the ABMs that are used in the project constitute an important part of the literature, they have not been included in the review since they are the subject of another section.
- Performance indicators: quantification of market performance: Deliverable D5.1Publication . Couto, António; Schimeczek, Christoph; Morales-España, Germán; Strbac, Goran; Algarvio, Hugo; Sanchez, Ingrid; Kochems, Johannes; Nienhaus, Kristina; Vries, Laurens de; Helistö, Niina; Chrysanthopoulos, Nikolaos; Hernandez-Serna, Ricardo; Johanndeiter, Silke; Pinto, Tiago; Estanqueiro, AnaABSTRACT: The present deliverable was developed as part of the research activities of the TradeRES project Task 5.1 – Performance indicators: quantification of market performance. This report presents the first version of the deliverable 5.1, which provides a list of the (key) market performance indicators (MPIs) that will be used to assess the impact of elec tricity market designs developed and tested in the TradeRES project. In specific, these indicators will be used in the case studies to assess and quantify the performance of the market designs that were developed in WP3. The foreseen recommendations regarding the evolution of the market design considering a ~100% renewable power system and the dissemination activities will also focus on the performance obtained for the different MPIs. As a first step to defining the TradeRES’ MPIs, internal information was analysed, namely, the objectives and the research questions addressed by the project. To complement this information, several ongoing and completed European projects have been reviewed. For the definition of MPIs, a template was created. The template comprises basic information such as the name and acronym of the MPI, its calculation methodology and optimal value. A total of 48 MPIs were identified, and all were classified into four different group domains identified: technical, economic, environmental and social. The goal of such classification is to facilitate filtering and finding the MPIs of particular interest for the reader.
- Spatial flexibility options in electricity market simulation tools: Deliverable D4.3Publication . Couto, António; Silva, Cátia; Algarvio, Hugo; Faria, Pedro; Pinto, Tiago; Schimeczek, Christoph; José, Débora Regina S.; Morales-España, Germán; Helistö, Niina; Sijm, Jos; Kiviluoma, Juha; Hernandez-Serna, Ricardo; Chrysanthopoulos, Nikolaos; Strbac, Goran; Estanqueiro, AnaABSTRACT: Deliverable D4.3 addresses the spatial flexibility options that are being considered by TradeRES models. D4.3 presents a report describing the spatial flexibility-related modelling components that are already implemented and those that are being designed for integration in TradeRES agent-based models. This report includes the main definitions, concepts and terminology related to spatial flexibility, as means to support the presentation of the specific models that are being developed by the project, namely about flow based market coupling, market spliting, nodal pricing, dynamic line rating, cross border intraday market, cross border reserve market, cross border capacity market, consumer flexibility aggregation, renewable energy aggregation, storage aggregation, electric vehicle aggregation and grid capacity.
- Temporal flexibility options in electricity market simulation models: Deliverable D4.1Publication . Couto, António; Schimeczek, Christoph; José, Débora Regina S.; Algarvio, Hugo; Kochems, Johannes; Nienhaus, Kristina; Pinto, Tiago; Helistö, Niina; Johanndeiter, Silke; Estanqueiro, AnaABSTRACT: This report covers the implementation of temporal flexibility options in TradeRES’ agent-based electricity market simulations models. Within this project, the term “temporal flexibility option” was defined as an asset or measure supporting the power system to balance electric demand and supply and compensate for their stochastic fluctuations stemming from, e.g., weather or consumer behaviour by adjusting demand and/or supply as a function over time or by reducing their forecast uncertainty. Other reports from the same work package of TradeRES are published almost simultaneously, each focussing on another aspect of market model enhancements. These accompanying reports address sectoral flexibility, spatial flexibility, actor types, and modelling requirements for market designs. Flexibility options covered in this report were selected with regard to a predominantly temporal characteristic, a contribution to TradeRES’ assessment of market designs, and the feasibility to be implemented in at least one of the agent based models (ABM) during the project’s lifetime. The technical aspects of “Load shedding”, “Load shifting”, “Electricity storage”, and “Real-time pricing” were selected for implementation. In addition, the following new electricity market products were selected for implementation: “Rolling market clearing”, “Trading with shorter time units”, and “Variable market closure lead times”.