Denisson Queiroz Oliveira
@ufma.br
Professor in Federal University of Maranhão, Brazil
Federal University of Maranhão
EDUCATION
DSc in Electrical Engineering at Federal University of Itajubá, Itajubá, Brazil.
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
Scopus Publications
Scopus Publications
Arcilan T. Assireu, Gilberto Fisch, Vinícius S.O. Carvalho, Felipe M. Pimenta, Ramon M. de Freitas, Osvaldo R. Saavedra, Francisco L.A. Neto, Audálio R.T. Júnior, Denisson Q. Oliveira, Denivaldo C.P. Lopes,et al.
Elsevier BV
Felipe M. Pimenta, Osvaldo R. Saavedra, Denisson Q. Oliveira, Arcilan T. Assireu, Audálio R. Torres Júnior, Ramon M. de Freitas, Francisco L. Albuquerque Neto, Denivaldo C. P. Lopes, Clóvis B. M. Oliveira, Shigeaki L. de Lima,et al.
MDPI AG
The objective of this work is to assess the wind resources of the east coast of Maranhão, Brazil. Wind profilers were combined with micrometeorological towers and atmospheric reanalysis to investigate micro- and mesoscale aspects of wind variability. Field campaigns recorded winds in the dry and wet seasons, under the influence of the Intertropical Convergence Zone. The dry season was characterized by strong winds (8 to 12 m s−1) from the northeast. Surface heat fluxes were generally positive (250 to 320 W m−2) at midday and negative (−10 to −20 W m−2) during the night. Convective profiles predominated near the beach, with strongly stable conditions rarely occurring before sunrise. Further inland, convective to strongly convective profiles occurred during the day, and neutral to strongly stable profiles at night. Wind speeds decreased during the rainy season (4 to 8 m s−1), with increasingly easterly and southeasterly components. Cloud cover and precipitation reduced midday heat fluxes (77 W m−2). Profiles were convective during midday and stable to strongly stable at night. Terrain roughness increased with distance from the ocean ranging from smooth surfaces (zo = 0.95 mm) and rough pastures (zo = 15.33 mm) to crops and bushes (zo = 52.68 mm), and trees and small buildings (zo = 246.46 mm) farther inland. Seasonal variations of the mean flow and sea and land breezes produced distinct diurnal patterns of wind speeds. The strongest (weakest) breeze amplitudes were observed in the dry (rainy) period. Daily changes in heat fluxes and fetch over land controlled the characteristics of wind profiles. During sea breezes, winds approached the coast at right angles, resulting in shorter fetches over land that maintained or enhanced oceanic convective conditions. During land breezes, winds blew from the mainland or with acute angles against the coastline, resulting in large fetches with nighttime surface cooling, generating strongly stable profiles. Coastal observations demonstrated that with increasing monopiles from 100 to 130 m it is possible to obtain similar capacity factors of beachfront turbines.
Rafael B. S. Veras, Clóvis B. M. Oliveira, Shigeaki L. de Lima, Osvaldo R. Saavedra, Denisson Q. Oliveira, Felipe M. Pimenta, Denivaldo C. P. Lopes, Audálio R. Torres Junior, Francisco L. A. Neto, Ramon M. de Freitas,et al.
MDPI AG
The share of electricity generation from Variable Renewable Energy Sources (VRES) has increased over the last 20 years. Despite promoting the decarbonization of the energy mix, these sources bring negative characteristics to the energy mix, such as power ramps, load mismatch, unpredictability, and fluctuation. One of the ways to mitigate these characteristics is the hybridization of power plants. This paper evaluates the benefits of hybridizing a plant using an AI-based methodology for optimizing the wind–solar ratio based on the Brazilian regulatory system. For this study, the hybrid plant was modeled using data collected over a period of 10 months. The measurements were obtained using two wind profilers (LIDAR and SODAR) and a sun tracker (Solys 2) as part of the EOSOLAR R&D project conducted in the state of Maranhão, Brazil. After the power plant modeling, a Genetic Algorithm (GA) was used to determine the optimal wind–solar ratio, considering costs with transmission systems. The algorithm achieved a monthly profit increase of more than 39% with an energy curtailment inferior to 1%, which indicates economic complementarity. Later, the same methodology was also applied to verify the wind–solar ratio’s sensitivity to solar energy pricing. The results show that a price increase of 15% would change the power plant’s optimal configuration.
Hellen D. P. De Souza, Patricia S. Santos, Shigeaki L. De Lima, and Denisson Q. Oliveira
IEEE
O Brasil apresenta um dos maiores potenciais mundiais para a geração de energia proveniente de fontes eólicas e solares, dadas suas vastas áreas costeiras e clima tropical que propiciam ventos fortes e consistentes. Especialmente a região Nordeste do país se sobressai devido à presença de ventos constantes e de alta velocidade, fatores que têm impulsionado a implantação de numerosos parques eólicos na área. No entanto, o processo de instalação e manutenção de torres para aferição direta dos ventos se revela dispendioso, constituindo um desafio em nações de vasta extensão territorial, como é o caso do Brasil. A obtenção de uma estrutura abrangente demandaria a instalação de um grande volume de torres, o que pode se tornar inviável em termos de custo e logística. A nanorrede CC abordada neste artigo se apresenta como uma solução eficaz e viável para a geração de energia e fornecimento de telecomunicações para microestações e perfiladores micrometeorológicos.
Paulo Henrique Cunha, Osvaldo R. Saavedra, and Denisson Q. Oliveira
IEEE
Renewable sources play an increasingly important role in electrical systems, mainly in the form of distributed energy resources close to the loads, thus contributing to the concept of microgrids. Microgrids have associated a series of attributes that make them the fundamental basis of smart grids and, mainly, of the energy transition process. Microgrids make consumers actors in the system, reducing costs and increasing the reliability of the electrical service. In a holistic view, several microgrids can collaborate and benefit from joint operation in order to gain reliability and resilience. In this article, a critical review of multi-microgrids, architectures, advantages and their main challenges and future perspectives is carried out.
Arthur V. Costa Martins, Denisson Q. Oliveira, F. M. Pimenta, and Rafael B. S. Veras
IEEE
Wind has characteristics that are not captured by standard models, and variations in wind flow can cause a significant difference between expected and actual energy production at some power plants. Given the Brazilian wind potential and the need to understand the impact of micrometeorological phenomena on wind turbine performance, this paper presents a comparative analysis of the Annual Energy Production determined by two different methods: using Hub Height Wind Speed (HHWS) and using the Rotor Equivalent Wind Speeds (REWS). These two predictions are compared and their differences investigated taking into account the local micrometeorological phenomena that cause variations in the wind flow, such as atmospheric stability and wind shear. Results demonstrate that the HHWS can overestimate the REWS method up to 30%, specially in regions where there is significant diurnal variability of wind shear.
Chaves A. A. A., D. Q. Oliveira, and Silvangela L. Barcelos
IEEE
This paper proposes an investigation of the operating conditions of the electric system concerning the voltage levels at the buses and active power flow in the lines in a growing scenario of penetration of wind sources with spatio-temporal complementarity characteristics. This analysis considers the integration of correlated wind farms and investigates how the arrangement of complementary wind plants can mitigate the effects of fluctuations in the electrical system. The investigation applies the load flow analysis of the IEEE 57 Bus system, considering growing scenarios of wind plants integration in the states of Maranhão, Cearã, Bahia, and Rio Grande do Sul with correlated generation data. The generation and load values were obtained through the operation reports of the Brazilian Independent System Operator. To quantify these effects, the indicators of violations in voltage levels and power flow limits in the lines, the PIV and PIMW, respectively, already presented in the literature, have been used. As a result of this investigation, it has been identified that scenarios with arrangements of complementary wind plants from the spatio-temporal point of view are capable of minimizing violations in the operating parameters of the electric system.
Josélio C. Cruz, Denisson Q. Oliveira, F. L. Albuquerque Neto, and Leiliane Trindade de A. do Monte
IEEE
Predicting wind speed is crucial for efficient wind farm management, aiming to optimize en-ergy production and ensure grid stability. This paper addresses wind speed prediction using data from a LIDAR sensor at five measurement points at different heights (40 to 260 meters). A model based on decision trees, specifically the Random Forests (TreeBagger), has been applied to predict wind speed at 10 to 60-minute intervals. The model's performance has been evaluated using the Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and Coeffi-cient of Determination (R2) indices. The point closest to the coast (PO) yielded the best results, with RMSE ranging from 0.15 to 0.22 m/s, MAPE ranging from 0.69% to 1.51%, and R2 of 0.99. As the measurement points moved away from the coast, errors increased slightly due to variations in temperature and surface roughness. Data collection at 10-minute intervals provided a robust model training and evaluation dataset. The evaluation metrics reveal the quality of predictions regarding accuracy and generalization ability. The adopted approach provides valuable information for improving wind en-ergy prediction under specific conditions, as found at the investigated site.
Yasmin Emily de Souza Oliveira, Denisson Queiroz Oliveira, Osvaldo Ronald Saavedra, and Mehdi Rahmani-Andebili
Springer Nature Switzerland
Audalio R. Torres Junior, Natália P. Saraiva, Arcilan T. Assireu, Francisco L. A. Neto, Felipe M. Pimenta, Ramon M. de Freitas, Osvaldo R. Saavedra, Clóvis B. M. Oliveira, Denivaldo C. P. Lopes, Shigeaki L. de Lima,et al.
MDPI AG
This article seeks to compare the performance of a LIDAR Windcube V2, manufactured by Leosphere, with that of a SODAR MFAS, manufactured by Scintec, in evaluating wind speed at different altitudes. The data from these two sensors were collected at three locations on the Brazilian equatorial margin in the state of Maranhão. The comparison of these sensors aims at their simultaneous use at different points. The horizontal velocity components, by altitude, showed Pearson correlation values above 0.9 and values for the vertical velocity component between 0.7 and 0.85. As for the sampling efficiency, the LIDAR had a performance slightly higher than that of SODAR, especially at the point closest to the coast. In general, both sensors showed similar values, despite the differences in sampling methods. The results showed that the joint performance of these sensors had good correlation, being reliable for application in estimating wind potential for power generation in coastal areas of the equatorial region.
Arcilan T. Assireu, Felipe M. Pimenta, Ramon M. de Freitas, Osvaldo R. Saavedra, Francisco L. A. Neto, Audálio R. Torres Júnior, Clóvis B. M. Oliveira, Denivaldo C. P. Lopes, Shigeaki L. de Lima, Rafael B. S. Veras,et al.
MDPI AG
The EOSOLAR project was designed to investigate the structure of the atmospheric boundary layer in an equatorial coastal zone, where the discontinuity of surface conditions induces non-stationarity gradients of wind speeds and the development of internal boundary layers. The proposed methodology considers several aspects of the sea–land transition meteorology that are essential for precisely estimating wind–solar energy potential and assessment of structural loads on wind turbines. Infrared (LIDAR) and acoustic (SODAR) ground-based remote sensing instruments and micrometeorological towers were installed in a near-shore equatorial area of northeast Brazil, in order to provide a comprehensive view of meteorological processes. This paper reports a description of the project study area, methodology, and instrumentation used. Details of instruments configurations, a validation of micrometeorology towers, and a comparison between the LIDAR and SODAR are presented. Results of the first field campaign measuring the coastal flow, integrating the micrometeorological tower and LIDAR observations are described.
Yasmin Emily de Souza Oliveira, Denisson Queiroz Oliveira, and Osvaldo R. Saavedra
IEEE
This paper presents a survey on the main challenges to disseminating battery electric vehicles in the Brazilian power sector and conserving a sustainable position in the market. This research addresses the analysis of the advantages, challenges, and obstacles of the current context in the country, through the study of international public policies and the Brazilian regulatory scenario, given the observation of the significant difference between the introduction of the battery electric vehicle in the world market and Brazil. This paper presents an exploratory meaning which provides the challenges for the spread of electromobility in Brazil.
Pedro Bezerra Leite Neto, Osvaldo Ronald Saavedra, and Denisson Queiroz Oliveira
Springer International Publishing
Iasmim A. Almeida, Osvaldo R. Saavedra, and Denisson Q. Oliveira
IEEE
This article presents an extension of the classic fast decoupled algorithm oriented to the solution of the load flow of isolated microgrids with droop control. Microgrids in isolated operation have a series of characteristics that limit the application of conventional methods for calculating the load flow, such as the absence of a reference bus, floating frequency, and the presence of droop generation control. In this article, the classic fast decoupled load flow algorithm is modified and extended to weak, isolated microgrid applications with droop control. The performance of the algorithm is investigated using a 38-bus test system.
Denisson Q. Oliveira, Osvaldo R. Saavedra, Kevin Santos-Pereira, Jefferson D. F. Pereira, Diego S. Cosme, Leonilson S. Veras, Rafael G. Bento, and Victor B. Riboldi
Springer Science and Business Media LLC
Kevin Santos-Pereira, Jefferson D. F. Pereira, Leonilson S. Veras, Diego L. S. Cosme, Denisson Q. Oliveira, and Osvaldo R. Saavedra
Springer Science and Business Media LLC
Pedro Bezerra Leite Neto, Osvaldo R. Saavedra, and Denisson Q. Oliveira
Elsevier BV
Jessica de Sousa Almeida, Osvaldo R. Saavedra, and Denisson Q. Oliveira
IEEE
An optimal dispatch of a grid-connected hybrid microgrid, with solar and ocean generation, and storage system, has been investigated and solved in this paper. The problem has been formulated as a non-linear optimization process with integer and real variables, which is efficiently solved through a problemoriented metaheuristic. It was possible to identify significant savings obtained due to the shifting of the produced energy supply by renewable sources to times when the energy cost is higher. The results showed that the combination of different renewable sources has significant effects on the microgrid economic and operational performance.
Diogo Marujo, A. C. Zambroni de Souza, B. I. L. Lopes, and D. Q. Oliveira
Springer Science and Business Media LLC
Luiz F. N. Delboni, Diogo Marujo, Pedro P. Balestrassi, and Denisson Queiroz Oliveira
Springer International Publishing
Jessica de Sousa Almeida, Osvaldo R. Saavedra, and Denisson Q. Oliveira
IEEE
Electrical Power Systems are going under fundamental changes that consist, among others, in the modernization of generation, transmission and distribution technologies. In this context, the renewable energy sources are increasing their share in the distribution grid. Marine hydrokinetic farms represent an excellent alternative due to their great energetic potential, high predictability, and low environmental impact. This paper discusses the impact of the integration of a marine hydrokinetic farm with the electrical distribution network. By using power flow simulations, the behavior of the distribution network was analyzed due to the interconnection of a marine hydrokinetic farm. It was possible to identify that the power grid can easily absorb the tidal power generation improving the voltage profiles, decreasing the power flows and system power losses.
Denisson Queiroz Oliveira, Marcos Vinicius Santos, Diogo Marujo, Antonio Carlos Zambroni de Souza, Luiz Fernando Naporano Delboni, and Luis Antonio Felber
Hindawi Limited
Francisco Martins Portelinha Júnior, Antonio Carlos Zambroni de Souza, Paulo Fernando Ribeiro, Denisson Queiroz Oliveira, and Bruno de Nadai Nascimento
American Society of Civil Engineers (ASCE)
AbstractThe design of a future active distribution network is crucial for the deployment of a smarter grid. The increasing penetration of renewable power generation and of dynamic loads increases t...
Roberto Netto, Guilherme Ramalho, Benedito Bonatto, Otavio Carpinteiro, A. Zambroni de Souza, Denisson Oliveira, and Rodrigo Braga
MDPI AG
This paper presents a framework to analyze the problem of real-time management of Smart Grids. For this purpose, the energy management is integrated with the power system through a telecommunication system. The use of Multiagent Systems (MAS) leads the proposed algorithm to find the best-integrated solution, taking into consideration the operating scenario and the system characteristics. With this framework it was possible to evaluate the design of the energy management and the impact of the algorithm developed in the MAS. In the same way, the data sent from the power system to be used for energy management have a direct impact on his behavior. The proposed framework is tested with the help of a microgrid, so the results may be replicated.