An efficient energy management scheme for a standalone hybrid AC/DC microgrid (HMG) has been proposed in this paper. Energy is challenging task, because of the involvement distributed resources (DERs) which are intermittent nature. The may therefore, undergo mismatch demand and supply, when either generation or load varies. This power result into DC bus voltage deviations sometimes these be out...

Recently, economic and environmental problems have created a strong attitude toward utilizing renewable energy sources (RESs). Nevertheless, uncertainty of wind and solar power leads to a more complicated energy management (EM) of RESs in microgrids. This paper models and solves the EM problem of microgrid from the generation point of view. To do this, mathematical formulation of a grid- connec...

Regarding the advances in technology and anxieties around high and growing prices of fossil fuels, government incentives increase to produce cleaner and sustainable energy through distributed generations. This makes trends in the using microgrids which consist of electric demands and different distributed generations and energy storage systems. The optimum operation of microgrids with consideri...

This paper presents modeling and control of a microgrid based on hybrid renewable energy sources including Photovoltaic (PV), Fuel Cell (FC) and Battery Energy Storage (BES). The overall configuration of the microgrid including dynamic models of PV, FC, BES and its power electronic interfacing are briefly described. Then controllers design methodologies for power electronic converters in order ...

A sign language recognition system based on Hidden Markov Models(HMMs) and Auto-regressive Hidden Markov Models(ARHMMs) has been proposed in this paper. ARHMMs fully consider the observation relationship and are helpful to discriminate signs which don’t have obvious state transitions while similar in motion trajectory. ARHMM which models the observation by mixture conditional linear Gaussian is...

Traditional processors use the von Neumann execution model, some other processors in the past have used the dataflow execution model. A combination of von Neuman model and dataflow model is also tried in the past and the resultant model is referred as hybrid dataflow execution model. We describe a hybrid dataflow model known as the microthreading. It provides constructs for creation, synchroniz...

We present a hybrid speech recognition system for speaker independent continuous speech recognition. The system combines a novel information theory based neural network (NN) paradigm and discrete Hidden Markov models (HMMs) including State-of-the-Art techniques like state clustered triphones. The novel NN type is trained by an algorithm based on principles of self-organization that achieves max...

This paper proposes a distributed control strategy that considers several source characteristics to achieve reliable and efficient operation of a hybrid ac/dc microgrid. The proposed control strategy has a two-level structure. The primary control layer is based on an adaptive droop method, which allows local controllers to operate autonomously and flexibly during disturbances such as fault, loa...

This paper presents modeling and control of a hybrid distributed energy sources including photovoltaic (PV), fuel cell (FC) and battery energy storage (BES) in a microgrid which provides both real and reactive power to support a utility grid using fuzzy sliding-mode control (FSMC). The overall configuration of the microgrid including dynamic models for the PV, FC, BES and its power electronic i...