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This paper proposes a battery voltage model that is suitable for variable operation. The model combines the features of the Kinetic Battery Model (KiBaM) and voltage model (VM), and it improves the accuracy and quality of the solution, addressing four characteristics of operation: charging, discharging, rest after charge, and rest after discharge. This model will be known as 4-KiVM and shows low impact on computational burden. The proposed model can keep track of the voltage even when the load is inverted or turned off. To calibrate and validate the model, a NASA-provided dataset was used composed of a battery with variable charges and discharges, simulating real applications. A metaheuristic method based on tabu search is used to extract constants from this dataset and validate this hybrid model. In addition, a comparison of performance of the 4-KiVM against KiBaM, VM, and the electric circuit model (ECM) was made, showing its advantages. The results of the simulations showed a good prediction of the battery voltage response and SOC prediction in random (variable) use.
Gustavo Fenner; Leonardo Stringini; Camilo Rangel; Luciane Canha. Comprehensive Model for Real Battery Simulation Responsive to Variable Load. Energies 2021, 14, 3209 .
AMA StyleGustavo Fenner, Leonardo Stringini, Camilo Rangel, Luciane Canha. Comprehensive Model for Real Battery Simulation Responsive to Variable Load. Energies. 2021; 14 (11):3209.
Chicago/Turabian StyleGustavo Fenner; Leonardo Stringini; Camilo Rangel; Luciane Canha. 2021. "Comprehensive Model for Real Battery Simulation Responsive to Variable Load." Energies 14, no. 11: 3209.
This paper proposes a flexible framework for scheduling and real time operation of electric vehicle charging stations (EVCS). The methodology applies a multi-objective evolutionary particle swarm optimization algorithm (EPSO) for electric vehicles (EVs) scheduling based on a day-ahead scenario. Then, real time operation is managed based on a rule-based (RB) approach. Two types of consumer were considered: EV owners with a day-ahead request for charging (scheduled consumers, SCh) and non-scheduling users (NSCh). EPSO has two main objectives: cost reduction and reduce overloading for high demand in grid. The EVCS has support by photovoltaic generation (PV), battery energy storage systems (BESS), and the distribution grid. The method allows the selection between three types of charging, distributing it according to EV demand. The model estimates SC remaining state of charge (SoC) for arriving to EVCS and then adjusts the actual difference by the RB. The results showed a profit for EVCS by the proposed technique. The proposed EPSO and RB have a fast solution to the problem that allows practical implementation.
Héricles Oliveira Farias; Camilo Sepulveda Rangel; Leonardo Weber Stringini; Luciane Neves Canha; Daniel Pegoraro Bertineti; Wagner Da Silva Brignol; Zeno Iensen Nadal. Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations. Energies 2021, 14, 1370 .
AMA StyleHéricles Oliveira Farias, Camilo Sepulveda Rangel, Leonardo Weber Stringini, Luciane Neves Canha, Daniel Pegoraro Bertineti, Wagner Da Silva Brignol, Zeno Iensen Nadal. Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations. Energies. 2021; 14 (5):1370.
Chicago/Turabian StyleHéricles Oliveira Farias; Camilo Sepulveda Rangel; Leonardo Weber Stringini; Luciane Neves Canha; Daniel Pegoraro Bertineti; Wagner Da Silva Brignol; Zeno Iensen Nadal. 2021. "Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations." Energies 14, no. 5: 1370.
This paper presents a semi-decentralized (SD) and a fully decentralized (FD) multiarea economic dispatch (MAED) model based on meta-heuristic optimization (MO) for optimal operation of transmission system operators (TSOs) and private aggregators (PAs). The existing MO-based MAED studies are limited to either using centralized models or not considering multiple autonomous participants in their decision-making framework. The proposed models allow to determine the effective integration of autonomous PAs in the transmission systems (TS) and their co-operation with the TSOs. The objective of both models is to minimize the total operation cost of the system by effectively coordinating the TSOs and PAs operations. The TSOs and PAs evaluate their operational uncertainties and determine the power reserves considering the best and worst-case scenarios of the uncertain variables, thus enabling the resulting models to be solved in three stages using a robust Real-Coded Elitism Genetic Algorithm (RCEGA). To preserve the ownership of TSOs and PAs, the RCEGA efficiently utilizes separate population sets to solve the operations of the areas in parallel in a two-layer operation approach, allowing the TSOs and PAs to achieve optimal operations, independently. Case studies are performed on a modified Nigerian 330 kV 39-bus transmission systems having three TSOs each with three PAs to demonstrate the effectiveness of the proposed models.
Olatunji Matthew Adeyanju; Luciane Neves Canha; Camilo Alberto Sepúlveda Rangel; Josue Campos Do Prado. Semi-decentralized and fully decentralized multiarea economic dispatch considering participation of local private aggregators using meta-heuristic method. International Journal of Electrical Power & Energy Systems 2021, 128, 106656 .
AMA StyleOlatunji Matthew Adeyanju, Luciane Neves Canha, Camilo Alberto Sepúlveda Rangel, Josue Campos Do Prado. Semi-decentralized and fully decentralized multiarea economic dispatch considering participation of local private aggregators using meta-heuristic method. International Journal of Electrical Power & Energy Systems. 2021; 128 ():106656.
Chicago/Turabian StyleOlatunji Matthew Adeyanju; Luciane Neves Canha; Camilo Alberto Sepúlveda Rangel; Josue Campos Do Prado. 2021. "Semi-decentralized and fully decentralized multiarea economic dispatch considering participation of local private aggregators using meta-heuristic method." International Journal of Electrical Power & Energy Systems 128, no. : 106656.
This chapter addresses the Energy Storage System (ESS) sitting and sizing problem for renewable support. It is divided into four major subtitles in order to give the reader an introduction of the issue by providing fundamental information and theorical background to show the basic concepts for solving the intended problem, and discusses perspectives to encourage the reader for further research. Also, it solves two practical examples using specific optimization tools. In the first part of the chapter, ESS applications for Renewable Support is presented with general introduction to renewable energy system and its limitations. Subsequently, the ESS technologies with different characteristics are described and possible applications of ESS are presented from the perspective of the utility, medium and large-business, and off and micro-grid scale applications. The second part presents the optimization methods that is used in ESS sizing and sitting problems. These methods consider heuristic and meta-heuristic approaches with a major focus on evolutionary algorithms. An optimization formulation and ESS modelling for given power system application considering specific objective function and constraints are also presented. In the third part, future applications of the ESS, together with set of possible subjects that can expand the ESS field of research are presented. Finally, the fourth part presents two practical examples of ESS support problem using HOMER proprietary software and a Genetic Algorithms, respectively. Based on the ESS specifications and types, performance is examined for selected scenarios of network architecture. In both solution procedures, the algorithms established the size of ESS for optimal technical and economic performance for the distribution system.
Luciane Neves Canha; Camilo Alberto Sepúlveda Rangel; Olatunji Matthew Adeyanju. Energy Storage System Sitting and Sizing for Renewable Support. Electricity Distribution 2020, 139 -182.
AMA StyleLuciane Neves Canha, Camilo Alberto Sepúlveda Rangel, Olatunji Matthew Adeyanju. Energy Storage System Sitting and Sizing for Renewable Support. Electricity Distribution. 2020; ():139-182.
Chicago/Turabian StyleLuciane Neves Canha; Camilo Alberto Sepúlveda Rangel; Olatunji Matthew Adeyanju. 2020. "Energy Storage System Sitting and Sizing for Renewable Support." Electricity Distribution , no. : 139-182.
The distributed generation resources are expected to largely transform the future operation of distribution systems. However, there is high perception for wider integration considering how evenly the distributed generation resources benefit are distributed among various agents in the power sector. This study presents a multi-objective planning of Distributed Generation to determine the best options for siting and sizing and different types of Distributed Energy Resources (DER) considering multi-agent participation. The developed multi-objective optimization method adopts the Strength Pareto Evolutionary Algorithm 2 (SPEA 2) technique, with the objective to promote and distribute benefits of Distributed Energy Resources among participating agents such as Distribution Network Operators and Distributed Generation Developer, and with the expectation that the prospective benefits from the distributed resources will speed up the current regulatory proposal updating in the electric sector.
R. C. Ney; L. N. Canha; O. M. Adeyanju; G. Arend. Multi-objective Optimal Planning of Distributed Energy Resources Using SPEA2 Algorithms Considering Multi-agent Participation. 2019 54th International Universities Power Engineering Conference (UPEC) 2019, 1 -6.
AMA StyleR. C. Ney, L. N. Canha, O. M. Adeyanju, G. Arend. Multi-objective Optimal Planning of Distributed Energy Resources Using SPEA2 Algorithms Considering Multi-agent Participation. 2019 54th International Universities Power Engineering Conference (UPEC). 2019; ():1-6.
Chicago/Turabian StyleR. C. Ney; L. N. Canha; O. M. Adeyanju; G. Arend. 2019. "Multi-objective Optimal Planning of Distributed Energy Resources Using SPEA2 Algorithms Considering Multi-agent Participation." 2019 54th International Universities Power Engineering Conference (UPEC) , no. : 1-6.
This study addresses current situations and challenges surrounding the full implementation of the Smart Grid and presents wholistic ways going forward. Considering the challenges of environmental degradation, ageing infrastructures, increasing energy demands, high energy costs, sustainability, transparency and partial participation in the vertical power systems, a shift in the energy paradigm has been looked upon by the various stakeholders. An intelligent-based grid (Smart Grid) development is considered as sustainable alternative - with the confidence that the challenges concerned with traditional power systems will alleviate, and by including large renewable energy resources, energy cost will reduce, and system operation will become more secure and reliable by leveraging the various technologies that support full implementation of the new grid. Despite these promises and the availability of the important technologies for its realization, Smart Grid (SG) development has been slow and full implementation has not been realized in most countries where it is adopted. This paper presents a way forward by expositing the roles that Customers, Utilities and Companies could take as pacesetters in accelerating the implementation of the new technology solution.
L. N Canha; O. M. Adeyanju; R. C. Ney; G. Arend; D. N. Zancan. The Roles of Customers, Utilities and Companies in Accelerating Smart Grid Implementation. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -6.
AMA StyleL. N Canha, O. M. Adeyanju, R. C. Ney, G. Arend, D. N. Zancan. The Roles of Customers, Utilities and Companies in Accelerating Smart Grid Implementation. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-6.
Chicago/Turabian StyleL. N Canha; O. M. Adeyanju; R. C. Ney; G. Arend; D. N. Zancan. 2019. "The Roles of Customers, Utilities and Companies in Accelerating Smart Grid Implementation." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-6.
Energy storage systems play a crucial role in the expansion of intermittent renewable sources in the quest for a more sustainable energy matrix, since they enable this evolution to occur safely and reliably. In this context and with special attention to the rise of residential systems of distributed generation in Brazil observed in recent years, it is understood that the investigation of the trajectory, and trends in the residential storage of electricity is essential to boost the advancement of these systems, and the Roadmap An instrument that favors the comprehensive vision necessary to understand this conjuncture and guide this development. Thus, inserted in the strategic project that answers the call 21/2016 of ANEEL, the Federal University of Santa Maria along with the COPEL Distribution Power Utility proposes a Roadmap for Electric Energy Storage Residential Systems in Brazil, presenting this work some aspects observed in this process.
Barbara Righi Ceci; Luciane Neves Canha; Daniel Pinheiro Bernardon; Tiago Santana; Zeno L. I. Nadal. Roadmap in Residential Energy Storage Systems. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -6.
AMA StyleBarbara Righi Ceci, Luciane Neves Canha, Daniel Pinheiro Bernardon, Tiago Santana, Zeno L. I. Nadal. Roadmap in Residential Energy Storage Systems. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-6.
Chicago/Turabian StyleBarbara Righi Ceci; Luciane Neves Canha; Daniel Pinheiro Bernardon; Tiago Santana; Zeno L. I. Nadal. 2019. "Roadmap in Residential Energy Storage Systems." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-6.
Based on the changes that the electric distribution utilities have been facing through the introduction of the smart grids’ concepts, traditional methodologies have been constantly adapted to meet the needs of these new characteristics. However, innovative proposes for power systems’ control cannot be directly tested in a real grid, this would compromise the reliability and continuity of a system that is already well consolidated. So that, with the intention of validate the control’s efficiency, a set of tests must be developed previously. The concept of real-time digital simulation has been widely used in the field of tests for new applications in the electric distribution systems, due its high coverage and response’s fidelity. In this study is developed a real application of test validation with Hardware-In-the-Loop. A Step Voltage Regulator is modeled and submitted to real daily load profile obtained by measurement from a real and physical voltage regulator. This research is compounded by the interaction between the voltage regulator’s control methodology, from Tap Eletro Systems, and a real-time digital simulator, from OPAL-RT Technologies.
Breno Santos Martins; Konrad E. Kork Schmitt; Luciane Neves Canha; Marcio De Abreu Antunes; Paulo Pereira; Simone Cristina Nunes Araujo. Real-Time Hardware-In-the-Loop Testbed Applied to Voltage Control in Distribution Smart Grids. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -6.
AMA StyleBreno Santos Martins, Konrad E. Kork Schmitt, Luciane Neves Canha, Marcio De Abreu Antunes, Paulo Pereira, Simone Cristina Nunes Araujo. Real-Time Hardware-In-the-Loop Testbed Applied to Voltage Control in Distribution Smart Grids. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-6.
Chicago/Turabian StyleBreno Santos Martins; Konrad E. Kork Schmitt; Luciane Neves Canha; Marcio De Abreu Antunes; Paulo Pereira; Simone Cristina Nunes Araujo. 2019. "Real-Time Hardware-In-the-Loop Testbed Applied to Voltage Control in Distribution Smart Grids." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-6.
The greater concern about climate change and the decarbonization of electric energy production plants has led to an exponential renewable energy increase in many countries, employing specially wind and solar resources. The increase investment in these new sources are necessary to support a sustainable future, with a cleaner and diversified energy matrix. However, the output of these sources is considered intermittent, depending on climatic variables, which often presents an unpredictable forecast. To minimize these effects, it is necessary to introduce energy storage systems, with the objective to simplify the transformation of the electrical system from a rigid to a more flexible platform, combining viable solutions integrating the new generation facilities. In this context, this paper aims to shine a light in the expansion of the energy storage systems combined with the renewable energy evolution around the world. Through a comprehensive review of energy storage technologies used, as well in the participation of these systems in different countries electric systems. Providing a market perspective of the storage technology in the present global scenario, along with new enterprises projections employing energy accumulators.
Felipe C. Lucchese; Luciana N. Canha; Wagner S. Brignol; Bruno K. Hammerschmitt; Leonardo Nogueira Fontoura da Silva; Criciele C. Martins. Energy Storage Systems Role in Supporting Renewable Resources: Global Overview. 2019 54th International Universities Power Engineering Conference (UPEC) 2019, 1 -6.
AMA StyleFelipe C. Lucchese, Luciana N. Canha, Wagner S. Brignol, Bruno K. Hammerschmitt, Leonardo Nogueira Fontoura da Silva, Criciele C. Martins. Energy Storage Systems Role in Supporting Renewable Resources: Global Overview. 2019 54th International Universities Power Engineering Conference (UPEC). 2019; ():1-6.
Chicago/Turabian StyleFelipe C. Lucchese; Luciana N. Canha; Wagner S. Brignol; Bruno K. Hammerschmitt; Leonardo Nogueira Fontoura da Silva; Criciele C. Martins. 2019. "Energy Storage Systems Role in Supporting Renewable Resources: Global Overview." 2019 54th International Universities Power Engineering Conference (UPEC) , no. : 1-6.
This paper estimates the profit of the joint operation of a wind farm and a li-ion battery energy storage system (BESS) in the Iberian electricity market (MIBEL). The day-ahead and first intraday energy markets, and the tertiary regulation market are considered to optimize the joint operation of both assets. A rolling window combined with a non-linear optimization model are used to design the operation strategy. The BESS lifetime (as a function of the depth of discharge) is considered in the optimization problem, and different BESS capacities and initial state of charge values are tested to determine their approximate optimum values. The model and strategy designed were tested using real data from the MIBEL market and predicted data from Sotavento wind farm. The resulting incomes were compared to the BESS investments costs to determine, for a given capacity, when the project becomes viable.
Camilo Rangel; Luciane Canha; Jose Villar. Profit Study of the Combined Operation of a Wind Farm and a Batery Storage System in the MIBEL electricity market. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -6.
AMA StyleCamilo Rangel, Luciane Canha, Jose Villar. Profit Study of the Combined Operation of a Wind Farm and a Batery Storage System in the MIBEL electricity market. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-6.
Chicago/Turabian StyleCamilo Rangel; Luciane Canha; Jose Villar. 2019. "Profit Study of the Combined Operation of a Wind Farm and a Batery Storage System in the MIBEL electricity market." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-6.
In Smart Grids, the residential consumer will play an important role in the functioning of the system, and the use of smart homes capable of managing demand and applying demand response actions should be an alternative to consumer-side management. Thinking in this scenario, the present work presents a system of smart management of residential loads, which encourages demand response actions. The system is adaptable to scenarios with variable electric energy charging and distributed microgeneration systems acquired by users. The proposed system uses Artificial Intelligence techniques (Machine Learning algorithm and Fuzzy Logic), as well as Internet of Things technologies. Monitored environmental data, power generation and instructions from the battery management system (it is part of the R&D COPEL Distribution and UFSM project) are used in the decision-making process.
Alisson Trindade Souza; Luciane Neves Canha; Rafael Gressler Milbradt; Christian Lua Lemos; Cassio Michels; Tiago Augusto Santana. Intelligent Demand Response System integrated with Micro Generation and Energy Storage using Machine Learning and Internet of Things Concepts. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -6.
AMA StyleAlisson Trindade Souza, Luciane Neves Canha, Rafael Gressler Milbradt, Christian Lua Lemos, Cassio Michels, Tiago Augusto Santana. Intelligent Demand Response System integrated with Micro Generation and Energy Storage using Machine Learning and Internet of Things Concepts. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-6.
Chicago/Turabian StyleAlisson Trindade Souza; Luciane Neves Canha; Rafael Gressler Milbradt; Christian Lua Lemos; Cassio Michels; Tiago Augusto Santana. 2019. "Intelligent Demand Response System integrated with Micro Generation and Energy Storage using Machine Learning and Internet of Things Concepts." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-6.
This paper presents a management strategy focused on the intelligent use of information based on the implementation of proactive methods and practices using data acquisition, supervision and control aimed at reducing electricity expenditure in public institutions. The article proposes the implementation of an energy management system emphasizing the opportunity of (i) control of energy expenditure, (ii) awareness of the agents involved in the rational use of energy and (iii) reduction in costs associated with management by the demand side. The main steps necessary for the implementation of a system based on NBR ISO 50.001 / 2018 (1) will be described, focusing on the characteristics of a public institution of higher education. The article also presents a case study of electrical energy contracting for a public company, the Brazilian Air Force Unit in Santa Maria, where new optimum demand values were established for peak and off-peak periods from the consumption profile and the contracted energy and demand tariff values. The result was positive with a reduction in cost compared to the initial scenario, with the possibility of increasing this result through the implementation of an energy management system, demonstrating that investment in management based on information and methods for intelligent decision making is the way to the rational use of energy with cost reduction in public buildings.
Pedro Daniel Bach Montani; Lucas Thadeu Orihuela Da Luz; Belisario Antonio Thome; Rafael Gomes Bento; Luis Eduardo Rocha Nepomuceno; Daniel Pinheiro Bernardon; Luciane Neves Canha. Intelligent Energy Management in Public Institutions. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -5.
AMA StylePedro Daniel Bach Montani, Lucas Thadeu Orihuela Da Luz, Belisario Antonio Thome, Rafael Gomes Bento, Luis Eduardo Rocha Nepomuceno, Daniel Pinheiro Bernardon, Luciane Neves Canha. Intelligent Energy Management in Public Institutions. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-5.
Chicago/Turabian StylePedro Daniel Bach Montani; Lucas Thadeu Orihuela Da Luz; Belisario Antonio Thome; Rafael Gomes Bento; Luis Eduardo Rocha Nepomuceno; Daniel Pinheiro Bernardon; Luciane Neves Canha. 2019. "Intelligent Energy Management in Public Institutions." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-5.
Projects with Energy Storage Systems (ESS) are being increasingly disseminated worldwide, among some factors of this effervescence can be mentioned the rise of the renewable generation sector, specifically the photovoltaic generation, either distributed or centralized, or even the steady growth of the Electric Vehicle (EV) industry. In Brazil, although the use of these elements is still in the beginning, there is a vast market of micro and mini distributed generation that may facilitate the implementation of ESS in the Brazilian Electric Power System (BEPS). This study provides an impact analysis of the insertion of Battery Energy Storage Systems (BESS) into different consumption classes (residential, commercial and industrial), it is also analyzed the feasibility of the use of BESS for the arbitrage service, in order to verify possible reductions in the invoice, given the constant increase in energy tariff prices. The case studies are carried out using the Homer Grid software for loads of real customers from Santa Maria/Brazil.
Hericles Eduardo Oliveira Farias; Luciane Neves Canha. Battery Energy Storage Systems: Impact Analysis on Different Loads with Distributed Generation. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -5.
AMA StyleHericles Eduardo Oliveira Farias, Luciane Neves Canha. Battery Energy Storage Systems: Impact Analysis on Different Loads with Distributed Generation. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-5.
Chicago/Turabian StyleHericles Eduardo Oliveira Farias; Luciane Neves Canha. 2019. "Battery Energy Storage Systems: Impact Analysis on Different Loads with Distributed Generation." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-5.
This article exposes three uncertain elements essential to the efficient, effective and strategic functioning of a Virtual Power Plant (VPP) contributing to the necessary descriptions and implicit searches. VPP presents great flexibility by integrating energy systems with their various types of sources, where they are generally distributed sets of renewable energies, load fluctuations of demands, and the increasing penetration of dynamically connected and disconnected Electric Vehicles (EVs) on the network. Its reliability becomes a challenging issue due to the uncertainties that are inevitable by the intermittent nature. We propose a discussion and classification about the uncertainties that have received much attention recently and are treated as a decision risk of a system operator of a VPP.
Lucas Feksa Ramos; Luciane Neves Canha. Uncertainties in Virtual Power Plants. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -5.
AMA StyleLucas Feksa Ramos, Luciane Neves Canha. Uncertainties in Virtual Power Plants. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-5.
Chicago/Turabian StyleLucas Feksa Ramos; Luciane Neves Canha. 2019. "Uncertainties in Virtual Power Plants." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-5.
The wrong destination of Urban Solid Waste (USW) is a problem that affects the whole world, being the focus to search for social and environmental solutions in several countries. The objective of this article is to study the potential of Distributed Generation (DG) using energy source from USW incineration. This generation plant proposal is linked to a private university of Santo Ângelo – RS – Brazil, which is connected in medium voltage grid (MT), in 23.1 kV. It was estimated a self-consumption of generation capacity through the waste generated in the city using computer made calculations and the Open DSS software. With the results obtained was possible to estimate the impacts of this DG in the medium voltage grid, relating it to the power flow, voltage levels and conductor loading. As a final conclusion is that generation with USW has great electrical potential and generates benefits for the power distribution system.
Alexandre K. Da Costa; Emerson F. Vaz; Leonardo J. Piotrowski; Rodrigo D. Dahmer; Luciane N. Canha; Felix A. Farret. Electrical Impacts of the Distributed Generation with Incineration of Urban Solid Waste. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -6.
AMA StyleAlexandre K. Da Costa, Emerson F. Vaz, Leonardo J. Piotrowski, Rodrigo D. Dahmer, Luciane N. Canha, Felix A. Farret. Electrical Impacts of the Distributed Generation with Incineration of Urban Solid Waste. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-6.
Chicago/Turabian StyleAlexandre K. Da Costa; Emerson F. Vaz; Leonardo J. Piotrowski; Rodrigo D. Dahmer; Luciane N. Canha; Felix A. Farret. 2019. "Electrical Impacts of the Distributed Generation with Incineration of Urban Solid Waste." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-6.
The present paper addresses the event classification in the scope of non-intrusive load monitoring (NILM) through the use of Convolutional Neural Network (CNN), an artificial intelligence (AI) kind. Concepts of CNN and NILM are presented, as well as the methodology for the elaboration of signature appliances from the aggregate monitoring of energy for CNN training. A case study is performed considering 34 events of different devices to test the classification performed by CNN. At this, was possible to observe that the use of CNN is adequate for the event detection on the NILM approach, reaching 87% accuracy in the classification on the performed test. Through the tests carried out, it was observed that some confusions occurred in the classification process can be corrected through the improvement of the method of signature set formation, in order to reach a wider range of the signatures spectrum.
A. P. Medeiros; L. N. Canha; D. P. Bertineti; R.M. De Azevedo. Event Classification in Non-Intrusive Load Monitoring Using Convolutional Neural Network. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -6.
AMA StyleA. P. Medeiros, L. N. Canha, D. P. Bertineti, R.M. De Azevedo. Event Classification in Non-Intrusive Load Monitoring Using Convolutional Neural Network. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-6.
Chicago/Turabian StyleA. P. Medeiros; L. N. Canha; D. P. Bertineti; R.M. De Azevedo. 2019. "Event Classification in Non-Intrusive Load Monitoring Using Convolutional Neural Network." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-6.
Electric power management has become a strong field of research and development in recent times. Most of the research is related to the so-called Smart Grids, which use information technology to increase the efficiency, reliability and sustainability of the system. In this paper, one of the available management tools, VOLTTRON, a multi-agent system developed by the United States Department of Energy, will be evaluated, along with the OpenADR communication standard. It presents simulated and practical implementations of the Strategic Project between the COPEL Distribution and the Federal University of Santa Maria which deals with technical and commercial arrangements for the insertion of energy storage systems in the Brazilian electrical system.
Felipe Seitenfus; Carlos Henrique Barriquello; Luciane Neves Canha; Andre Pedretti; Tiago Augusto Silva Santana; Zeno Nadal. Simulation and analysis of OpenADR agents using VOLTTRON platform. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -6.
AMA StyleFelipe Seitenfus, Carlos Henrique Barriquello, Luciane Neves Canha, Andre Pedretti, Tiago Augusto Silva Santana, Zeno Nadal. Simulation and analysis of OpenADR agents using VOLTTRON platform. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-6.
Chicago/Turabian StyleFelipe Seitenfus; Carlos Henrique Barriquello; Luciane Neves Canha; Andre Pedretti; Tiago Augusto Silva Santana; Zeno Nadal. 2019. "Simulation and analysis of OpenADR agents using VOLTTRON platform." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-6.
Operational planning is an essential activity in the context of power systems for adapting generation units to system load to prevent energy deficits. Studies that aid in the optimization of generation dispatch can present global economic benefit in the operation of the system, either by reducing generation costs, enhancing reliability, reducing costs. In this view, this work presents a power system optimal operation analysis considering minimization of losses and generation costs using a heuristic approach. A system expansion is determined under normal and load growth situations considering long-term cost of losses and short-term dispatch alternatives are developed considering Marginal Operational Cost (MCO) under varying generation parameters such as water storage and affluence, to determine optimal operation point. The technical performance of the alternatives is evaluated using load flow simulation in a power system simulator environment (ANAREDE). The proposed solution method is compared with classical Optimal Power Flow (OPF) considering operational cost and total system losses. The effectiveness of the implemented solution method over the classical OPF is illustrated using the IEEE 14 bus test system.
O. M. Adeyanju; Leonardo Nogueira Fontoura da Silva; M. Sperandio; L.N Canha; A. R. Abaide. Heuristic Transmission Expansion Planning Analysis Considering Generation Uncertainty. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -6.
AMA StyleO. M. Adeyanju, Leonardo Nogueira Fontoura da Silva, M. Sperandio, L.N Canha, A. R. Abaide. Heuristic Transmission Expansion Planning Analysis Considering Generation Uncertainty. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-6.
Chicago/Turabian StyleO. M. Adeyanju; Leonardo Nogueira Fontoura da Silva; M. Sperandio; L.N Canha; A. R. Abaide. 2019. "Heuristic Transmission Expansion Planning Analysis Considering Generation Uncertainty." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-6.
This paper presents the study of a model of failure dependent on the weather conditions, applied to estimate the annual failures in the energy supply of a residential consumer. For this, the mathematical model presented in the literature for the estimation of faults in the network distribution of a power company, is it used to estimate the Customer Average Interruption Frequency Index (CAIFI) of a residential consumer located in the south of Brazil. The case study is performed with historical weather data for hour from this location for a period of three years along with the CAIFI historical of the residence. The goal is to identify the behavior of the mathematical model of failures by wind storm in the distribution network, applied to estimate the annual CAIFI of residential consumers. After the CAIFI value is estimated, it is compared to the value found in the energy bill history of the study residence, identifying the differences. The study of this paper shows that the model presented a satisfactory result, but require further adjustments to reduce the error.
William I. Schmitz; Magdiel Schmitz; Luciane. N. Canha. Study of a Reliability Model for Distribution Systems Applied to the Residential Consumer. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -6.
AMA StyleWilliam I. Schmitz, Magdiel Schmitz, Luciane. N. Canha. Study of a Reliability Model for Distribution Systems Applied to the Residential Consumer. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-6.
Chicago/Turabian StyleWilliam I. Schmitz; Magdiel Schmitz; Luciane. N. Canha. 2019. "Study of a Reliability Model for Distribution Systems Applied to the Residential Consumer." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-6.
This study presents a sensitivity analysis of the Transmission System Usage Tariff (TUST) within variations of the electric parameters involved in the tax formulation, applied in Brazil transmission sector. Using the currently software employed by the National Electric Energy Agency (ANEEL), the NODAL, for the TUST quantification values applied to generators and loads. Due to the fact that the electric networks have been modifying with greater dynamism, mainly due to the increasing insertion of intermittent sources of renewable generation and distributed generation, it is necessary to analyze the behavior of the current methodology calculation for the TUST into this new context. In this sense, the work seeks to contribute to this analysis, investigating in a quantitative way, the discrepancies in tariff values, simulating different scenarios in the Nodal software. From the results, inferences can be made in order to identify possible improvements in such methodology.
Felipe C. Lucchese; Luciana N. Canha; Wagner S. Brignol; Marcelo Benetti; Mauricio Sperandio; Alexandre Schopf; Tiago Hinterholz. Transmission Cost Allocation using Nodal Methodology. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) 2019, 1 -6.
AMA StyleFelipe C. Lucchese, Luciana N. Canha, Wagner S. Brignol, Marcelo Benetti, Mauricio Sperandio, Alexandre Schopf, Tiago Hinterholz. Transmission Cost Allocation using Nodal Methodology. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). 2019; ():1-6.
Chicago/Turabian StyleFelipe C. Lucchese; Luciana N. Canha; Wagner S. Brignol; Marcelo Benetti; Mauricio Sperandio; Alexandre Schopf; Tiago Hinterholz. 2019. "Transmission Cost Allocation using Nodal Methodology." 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) , no. : 1-6.