Browsing by Author "Ferreira, J."
Now showing 1 - 4 of 4
Results Per Page
Sort Options
- Distributed energy resources management with cyber-physical SCADA in the context of future smart gridsPublication . Vale, Zita; Morais, H.; Faria, Pedro; Khodr, H. M.; Ferreira, J.; Kadar, PeterIn the energy management of a small power system, the scheduling of the generation units is a crucial problem for which adequate methodologies can maximize the performance of the energy supply. This paper proposes an innovative methodology for distributed energy resources management. The optimal operation of distributed generation, demand response and storage resources 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 paper deals with a vision for the grids of the future, focusing on conceptual and operational aspects of electrical grids characterized by an intensive penetration of DG, in the scope of competitive environments and using artificial intelligence methodologies to attain the envisaged goals. These concepts are implemented in a computational framework which includes both grid and market simulation.
- Emergency energy resource management in SmartGridsPublication . Vale, Zita; Morais, H.; Faria, Pedro; Ferreira, J.Energy resources management can play a very relevant role in future power systems in a SmartGrid context, with intensive penetration of distributed generation and storage systems. This paper deals with the importance of resource management in incident situations. The paper presents DemSi, an energy resources management simulator that has been developed by the authors to simulate electrical distribution networks with high distributed generation penetration, storage in network points and customers with demand response contracts. DemSi is used to undertake simulations for an incident scenario, evidencing the advantages of adequately using flexible contracts, storage, and reserve in order to limit incident consequences.
- Nodal price simulation in competitive electricity marketsPublication . Ferreira, J.; Vale, Zita; Puga, RicardoLocational Marginal Prices (LMP) are important pricing signals for the participants of competitive electricity markets, as the effects of transmission losses and binding constraints are embedded in LMPs [1],[2]. This paper presents a software tool that evaluates the nodal marginal prices considering losses and congestion. The initial dispatch is based on all the electricity transactions negotiated in the pool and in bilateral contracts. It must be checked if the proposed initial dispatch leads to congestion problems; if a congestion situation is detected, it must be solved. An AC power flow is used to verify if there are congestion situations in the initial dispatch. Whenever congestion situations are detected, they are solved and a feasible dispatch (re-dispatch) is obtained. After solving the congestion problems, the simulator evaluates LMP. The paper presents a case study based on the the 118 IEEE bus test network.
- Toxic cyanobacteria and cyanotoxins monitoring studies in the framework of TOXICROP ProjectPublication . Uro, V. H.; Ranilla, C. A.; Oliveira, F.; Freitas, Marisa; Azevedo, J.; Ferreira, J.; Vasconcelos, Vítor; Campos, AlexandreFresh water resources in many countries are vulnerable due to their biogeographical and climatic characteristics. Moreover higher water consumption and higher human impacts in the downstream water bodies is leading to a higher eutrophication with increased incidence and intensity of cyanobacteria blooms and their toxins. The scarcity of clean water resources leads to the compulsory use of water containing cyanobacteria and their toxins in agriculture. TOXICROP is a European project funded by the Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) programme aimed, among other objectives, to map agricultural risk areas of cyanotoxin occurrence, in countries that participate in the Project. In 2019 two monitoring campaigns were accomplished, in Pisão reservoir, located in the South region of Portugal, in September 2019, and in El Pañe an Aguada-Blanca reservoirs, located in the Andean Plateau, in the region of Arequipa, Peru, in October 2019. Sampling points were identified in these lakes and 1L samples were collected with assistance of a boat. Other water infrastructures relevant for this study, i.e., waterways, irrigation canals, irrigation hidrants and small irrigation reservoirs, were identified and sampled as well. Moreover, soil and plant samples were collected from an important agricultural area in the region of Arequipa city, which will be also subject to chemical analyses for detection and quantification of cyanotoxins. Here we present the monitoring work performed in the field, in the framework of TOXICROP project.