A5006278522- Power System Reliability and Maintenance
- Electric Power System Optimization
- Optimal Power Flow Distribution
- Probabilistic and Robust Engineering Design
- Reliability and Maintenance Optimization
- Academic Research in Diverse Fields
- Business and Management Studies
- Thermal Analysis in Power Transmission
- Logistics and Infrastructure Analysis
- Rural Development and Agriculture
- Icing and De-icing Technologies
- Electromagnetic Compatibility and Noise Suppression
- Structural Analysis and Optimization
- Smart Grid Energy Management
- Vibration and Dynamic Analysis
- Risk and Safety Analysis
- Integrated Energy Systems Optimization
- Electricity Theft Detection Techniques
- Energy Load and Power Forecasting
- Fault Detection and Control Systems
- Cyclone Separators and Fluid Dynamics
Federal University of São João del-Rei
2010-2021
Universidade Federal de Itajubá
2006-2009
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2007
This paper proposes a new approach to evaluate loss of load indices in composite generation and transmission systems. The main idea is combine Cross-Entropy (CE)-based optimization process nonsequential Monte Carlo Simulation (MCS) obtain an auxiliary sampling distribution, which can minimize the variance reliability index estimators. distribution will properly modify original unavailabilities both equipment, so that important failure events are sampled more often. As result, MCS algorithm...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents a new methodology for reliability evaluation of composite generation and transmission systems, based on nonsequential Monte Carlo simulation (MCS) artificial neural network (ANN) concepts. ANN techniques are used to classify the operating states during sampling. A polynomial network, named Group Method Data Handling (GMDH), is used, analyzed beginning process adequately...
In light of the additional needs imposed by high penetration level renewable sources on planning electric networks, this paper introduces new models and procedures for obtaining more robust flexible networks. A methodology, computational algorithm, a set performance indices are presented based concept chronological power flow (CPF). view presence intermittent energy resources, aspects related to operation system during moments availability will be duly evaluated, since that is when there...
Abstract This paper presents an application of Monte Carlo chronological simulation to evaluate the reserve requirements generating systems, considering renewable energy sources. The idea is investigate behavior reliability indices, including those from well‐being analysis, when major portion sources renewable. Renewable in this work comprises hydroelectric, mini‐hydroelectric, and wind power Case studies on a configuration Portuguese Generating System are presented discussed. Copyright ©...
A new methodology to evaluate well-being indices for a composite generation and transmission system, based on non-sequential Monte Carlo simulation pattern recognition techniques, is presented. To classify the success operating states into healthy marginal, an artificial neural network group method data handling techniques used capture patterns of these state classes, during beginning process. The idea provide process with intelligent memory, polynomial parameters, speed up evaluation...
This paper presents a new methodology to solve transmission expansion planning (TEP) problems based on evolution strategies (ES), but other heuristics are also used assist the search process. The TEP problem includes for least cost solution, bearing in mind investments and interruption costs. Unreliability costs considered through index LOLC-loss of load cost. Moreover, dynamic nature is accounted by proposed methodology. Case studies small test real sub-transmission network (CEMIG Company,...
Composite generation and transmission system reliability evaluation allows the assessment of risks operation failure, taking into account uncertainties associated with availability equipment. One great challenges faced in use techniques based on probabilistic during planning stages is related to required computational costs. Depending levels under study grid size, a large number performance analyzes are necessary. In this sense, article proposes new simple method efficiently evaluate...
This paper presents a new methodology to evaluating the well-being indices of large composite generation and transmission systems. A framework is used classify system states into healthy, marginal at risk, according pre-defined deterministic criterion. In order combine probabilistic concepts, proposed uses non-sequential Monte Carlo simulation, multi-level non-aggregate Markov load model test functions estimate for buses. Moreover, network reduction also find an equivalent suitable practical...
This paper presents a methodology for assessing the reliability indices composite generation and transmission systems based on Support Vector Machines (SVM). The importance of SVMs is its high generalization ability. are used to classify data into two distinct classes. These can be named positive negative. Thus, basic idea system states success or failure. For this, pre-classification achieved by performing proposed SVM-based neural network, where sampled during beginning non-sequential...
This paper presents a new methodology to evaluate in predictive way the reliability of distribution systems, considering impact automatic recloser switches. The developed algorithm is based on state enumeration techniques with Markovian models and minimal cut set theory. Some computational aspects related implementation proposed typical networks are also discussed. description approach carried out using sample test system. results obtained configuration Brazilian system (EDP Bandeirante...
In this paper, a new methodology to assist system planners is proposed, which able of providing set good solutions the addition transmission lines, in order reinforce sub-transmission network. To circumvent combinatorial explosion reinforcement alternatives, constructive heuristic algorithm used for adding branches grid. Based on performance indices measure attractiveness and using an expansion tree, proposed capture combined effect additions. For selecting best alternative, from solutions,...
In electrical power systems, the impact of interruptions due to failures can be reduced through expansion planning studies. While high investments result in very expensive and more reliable decisions, lead unreliable systems. Therefore, it is evident that economic reliability constraints are conflicting, which makes decision-making difficult operation stage. The theory, based on probabilities stochastic processes, allows modeling random behavior equipment estimate performance indices such as...
This paper presents a methodology to evaluate, via well-being analysis, the flexibility of composite electrical systems, considering wind energy sources. By adding farms different system bars, it is possible assess which configuration provides best adequacy and safety level for system. The evaluation based on probabilistic indices Loss Load Expectation (LOLE) Expected Marginal State (EMS). Such are obtained by combining deterministic criteria with methods. Non-Sequential Monte Carlo...