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Optimized dynamic response of parallel operation of two single phase inverters based on evolutionary theory
(2010-09-20)
In this work it is proposed an optimized dynamic response of parallel operation of two single-phase inverters with no control communication. The optimization aims the tuning of the slopes of P-ω and Q-V curves so that the ...
Hybrid Stochastic/Information Gap Decision Theory Model for Optimal Energy Management of Grid-Connected Microgrids with Uncertainties in Renewable Energy Generation and Demand
(2021-01-01)
Microgrids (MGs) are considered a reliable solution for the integration of a high level of intermittent distributed energy resources. However, renewable energy generation has added complexity to the optimal energy management ...
Vibration Control Applied in a Semi-Active Suspension using Magneto Rheological Damper and Optimal Linear Control Design
(Trans Tech Publications Ltd, 2014-01-01)
In this paper we study the behavior of a semi-active suspension witch external vibrations. The mathematical model is proposed coupled to a magneto rheological (MR) damper. The goal of this work is stabilize of the external ...
Adaptation of Iterative Methods to Solve Fuzzy Mathematical Programming Problems
(World Acad Sci, Eng & Tech-waset, 2006-01-01)
Based on the fuzzy set theory this work develops two adaptations of iterative methods that solve mathematical programming problems with uncertainties in the objective function and in the set of constraints. The first one ...
Optimized Compensation Based on Linear Programming Applied to Distributed Electronic Power Processors
(Ieee, 2015-01-01)
This paper proposes a linear algorithm to optimize the compensation of reactive power, harmonic distortion and unbalanced load applied to distributed electronic power processors, for example, active power filters and/or ...
Optimization of neural classifiers based on bayesian decision boundaries and idle neurons pruning
(2002-12-01)
In this article we describe a feature extraction algorithm for pattern classification based on Bayesian Decision Boundaries and Pruning techniques. The proposed method is capable of optimizing MLP neural classifiers by ...
Multinodal Load Forecasting Using an ART-ARTMAP-Fuzzy Neural Network and PSO Strategy
(Ieee, 2013-01-01)
This work presents a system based on Artificial Neural Networks and PSO (Particle Swarm Optimization) strategy, to multinodal load forecasting, i.e., forecasting in several points of the electrical network (substations, ...
Multinodal load forecasting using an ART-ARTMAP-fuzzy neural network and PSO strategy
(2013-12-27)
This work presents a system based on Artificial Neural Networks and PSO (Particle Swarm Optimization) strategy, to multinodal load forecasting, i.e., forecasting in several points of the electrical network (substations, ...
Constraints implementation for IQML and mode direction-of-arrival estimators
(2000-12-01)
The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known high resolution direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with ...
Optimized compensation based on linear programming applied to distributed electronic power processors
(2015-01-01)
This paper proposes a linear algorithm to optimize the compensation of reactive power, harmonic distortion and unbalanced load applied to distributed electronic power processors, for example, active power filters and/or ...