Loading...
102 results
Search Results
Now showing 1 - 10 of 102
- Agent based simulation for group formationPublication . Marreiros, Goreti; Santos, Ricardo; Ramos, Carlos; Neves, JoséGroup decision making plays an important role in today’s organisations. The impact of decision making is so high and complex, that rarely the decision making process is made just by one individual. The simulation of group decision making through a Multi-Agent System is a very interesting research topic. The purpose of this paper it to specify the actors involved in the simulation of a group decision, to present a model to the process of group formation and to describe the approach made to implement that model. In the group formation model it is considered the existence of incomplete and negative information, which was identified as crucial to make the simulation closer to the reality.
- P.Porto research workshopsPublication . Dias, André; Castro, António Vieira de; Ramos, Carlos; Delerue-Matos, Cristina; Gamboa, Dorabela; Ferreira Sales, Maria Goreti; Baylina, Pilar; Silva, Regina; Pilão, Maria João; Fernandes, Rúben; Vale, ZitaP.PORTO Research Workshops are thematic meetings, to present and discuss R&D activities and outcomes – be it in the form of new knowledge, applied technology, industrial or intellectual property – providing a space for debate, networking and creation of synergies. This volume provides the contributions of the Research Workshop of April 2019, dedicated to the set of R&D projects led by P.PORTO researchers, in collaboration with companies and end-users, in the scope of the national projects call 02/SAICT/2016.
- Domestic Consumption Simulation and Management Using a Continuous Consumption Management and Optimization AlgorithmPublication . Gomes, Luis; Faria, Pedro; Fernandes, Filipe; Vale, Zita; Ramos, CarlosThe recent changes concerning the consumers’ active participation in the efficient management of load devices for one’s own interest and for the interest of the network operator, namely in the context of demand response, leads to the need for improved algorithms and tools. A continuous consumption optimization algorithm has been improved in order to better manage the shifted demand. It has been done in a simulation and user-interaction tool capable of being integrated in a multi-agent smart grid simulator already developed, and also capable of integrating several optimization algorithms to manage real and simulated loads. The case study of this paper enhances the advantages of the proposed algorithm and the benefits of using the developed simulation and user interaction tool.
- Optimal methodology for renewable energy dispatching in islanded operationPublication . Khodr, H. M.; Vale, Zita; Ramos, Carlos; Soares, João; Morais, H.; Kadar, PeterThe management of energy resources for islanded operation is of crucial importance for the successful use of renewable energy sources. A Virtual Power Producer (VPP) can optimally operate the resources taking into account the maintenance, operation and load control considering all the involved cost. This paper presents the methodology approach to formulate and solve the problem of determining the optimal resource allocation applied to a real case study in Budapest Tech’s. The problem is formulated as a mixed-integer linear programming model (MILP) and solved by a deterministic optimization technique CPLEX-based implemented in General Algebraic Modeling Systems (GAMS). The problem has also been solved by Evolutionary Particle Swarm Optimization (EPSO). The obtained results are presented and compared.
- MASCEM improvement for agent based coalitionsPublication . Praça, Isabel; Andrade, André; Morais, H.; Ramos, Carlos; Vale, ZitaThis paper presents MASCEM - Multi-Agent Simulator for Electricity Markets improvement towards an enlarged model for Seller Agents coalitions. The simulator has been improved, both regarding its user interface and internal structure. The OOA, used as development platform, version was updated and the multi-agent model was adjusted for implementing and testing several negotiations regarding Seller agents’ coalitions. Seller coalitions are a very important subject regarding the increased relevance of Distributed Generation under liberalised electricity markets.
- Combined heat and power and consumption optimization in a SCADA-based systemPublication . Fernandes, Filipe; Morais, H.; Faria, Pedro; Vale, Zita; Ramos, CarlosThe operation of power systems in a Smart Grid (SG) context brings new opportunities to consumers as active players, in order to fully reach the SG advantages. In this context, concepts as smart homes or smart buildings are promising approaches to perform the optimization of the consumption, while reducing the electricity costs. This paper proposes an intelligent methodology to support the consumption optimization of an industrial consumer, which has a Combined Heat and Power (CHP) facility. A SCADA (Supervisory Control and Data Acquisition) system developed by the authors is used to support the implementation of the proposed methodology. An optimization algorithm implemented in the system in order to perform the determination of the optimal consumption and CHP levels in each instant, according to the Demand Response (DR) opportunities. The paper includes a case study with several scenarios of consumption and heat demand in the context of a DR event which specifies a maximum demand level for the consumer.
- Intelligent management of end consumers loads including electric vehicles through a SCADA systemPublication . Fernandes, Filipe; Faria, Pedro; Vale, Zita; Morais, H.; Ramos, CarlosThe large penetration of intermittent resources, such as solar and wind generation, involves the use of storage systems in order to improve power system operation. Electric Vehicles (EVs) with gridable capability (V2G) can operate as a means for storing energy. This paper proposes an algorithm to be included in a SCADA (Supervisory Control and Data Acquisition) system, which performs an intelligent management of three types of consumers: domestic, commercial and industrial, that includes the joint management of loads and the charge/discharge of EVs batteries. The proposed methodology has been implemented in a SCADA system developed by the authors of this paper – the SCADA House Intelligent Management (SHIM). Any event in the system, such as a Demand Response (DR) event, triggers the use of an optimization algorithm that performs the optimal energy resources scheduling (including loads and EVs), taking into account the priorities of each load defined by the installation users. A case study considering a specific consumer with several loads and EVs is presented in this paper.
- Electricity Markets Simulation: MASCEM Contributions to the Challenging RealityPublication . Vale, Zita; Morais, H.; Pinto, Tiago; Praça, Isabel; Ramos, CarlosElectricity Markets are not only a new reality but an evolving one as the involved players and rules change at a relatively high rate. Multi-agent simulation combined with Artificial Intelligence techniques may result in sophisticated tools very helpful under this context. Some simulation tools have already been developed, some of them very interesting. However, at the present state it is important to go a step forward in Electricity Markets simulators as this is crucial for facing changes in Power Systems. This paper explains the context and needs of electricity market simulation, describing the most important characteristics of available simulators. We present our work concerning MASCEM simulator, presenting its features as well as the improvements being made to accomplish the change and challenging reality of Electricity Markets.
- Knowledge management system for big data in a smart electricity grid contextPublication . Vinagre, Eugénia; Pinto, Tiago; Pinheiro, Gil; Vale, Zita; Ramos, Carlos; Corchado, Juan ManuelWe have been witnessing a real explosion of information, due in large part to the development in Information and Knowledge Technologies (ICTs). As information is the raw material for the discovery of knowledge, there has been a rapid growth, both in the scientific community and in ICT itself, in the study of the Big Data phenomenon (Kaisler et al., 2014). The concept of Smart Grids (SG) has emerged as a way of rethinking how to produce and consume energy imposed by economic, political and ecological issues (Lund, 2014). To become a reality, SGs must be supported by intelligent and autonomous IT systems to make the right decisions in real time. Knowledge needed for real-time decision-making can only be achieved if SGs are equipped with systems capable of efficiently managing all the surrounding information. Thus, this paper proposes a system for the management of information in the context of SG to enable the monitoring, in real time, of the events that occur in the ecosystem and to predict following events.
- The verification of temporal KBS: SPARSE - a case study in power systemsPublication . Santos, Jorge; Vale, Zita; Serôdio, Carlos; Ramos, CarlosIn this paper we present VERITAS, a tool that focus time maintenance, that is one of the most important processes in the engineering of the time during the development of KBS. The verification and validation (V&V) process is part of a wider process denominated knowledge maintenance, in which an enterprise systematically gathers, organizes, shares, and analyzes knowledge to accomplish its goals and mission. The V&V process states if the software requirements specifications have been correctly and completely fulfilled. The methodologies proposed in software engineering have showed to be inadequate for Knowledge Based Systems (KBS) validation and verification, since KBS present some particular characteristics. VERITAS is an automatic tool developed for KBS verification which is able to detect a large number of knowledge anomalies. It addresses many relevant aspects considered in real applications, like the usage of rule triggering selection mechanisms and temporal reasoning.