in this paper, a stochastic two-stage model is offered for optimization of the day-ahead scheduling of the microgrid. system uncertainties including dispatchable distributed generation and energy storage contingencies are considered in the stochastic model. for handling uncertainties, monte carlo simulation is employed for generation several scenarios and then a reduction method is used to d...

We describe a hybrid modeling approach where the parameters of a mode are calculated and modulated by another model, typically a neural network (NN), to avoid both overfitting and underfitting. We develop the approach for the case of Hidden Markov Models (HMMs), by deriving a class of hybrid HMM/NN architectures. These architectures can be trained with unified algorithms that blend HMM dynamic ...

Abstract: Interest in DC microgrids is rapidly increasing along with the improvement of DC power technology because of its advantages. To support the integration process of DC microgrids with the existing AC utility grids, the form of hybrid AC/DC microgrids is considered for higher power conversion efficiency, lower component cost and better power quality. In the system, AC and DC portions are...

The purpose of this paper is to introduce a holistic and systematic approach, based in key concepts of systems thinking, systems of systems and management science; to completely represent, model and analyze microgrid systems. In this paper we propose a Microgrid Reference Methodology (MRM) that guides the cooperation and mutual benefits between electric utilities and industrial customers for mi...

An extreme flexibility of a microgrid operation requires general, integrated and hierarchical proper management and control systems. A wide variety of communication technologies from communication medias, communication protocols to sensors and algorithms are available for microgrid applications. The requirements of communication capabilities differ with the varying microgrid architectures, phys...

Linear dynamic models (LDMs) have been shown to be a viable alternative to hidden MARKOV models (HMMs) on smallvocabulary recognition tasks, such as phone classification. In this paper we investigate various statistical model combination approaches for a hybrid HMM-LDM recognizer, resulting in a phone classification performance that outperforms the best individual classifier. Further, we report...

Demand response management has become one of the key enabling technologies for smart grids. Motivated by the increasing demand response incentives offered by service operators, more customers are subscribing to various demand response programs. However, with growing customer participation, the problem of determining the optimal loads to be curtailed in a microgrid during contingencies within a ...

A sustainable microgrid for supplying power to electric vehicles (EVs) is investigated in this thesis. The energy produced by the microgrid would be directly transferred to the electric vehicles via on-road charging systems. The proposed sustainable microgrid is located on the roadside and consists of wind turbines, solar panels and a stationary storage system. The optimum sizing, the topology ...

Several management and control techniques for hybrid energy storage systems (HESS) with batteries supercapacitors are presented in the literature applied to microgrids (MGs). The filter-based strategy defining loop actuation is one of most widely used approaches satisfactory performance. Variations Filter-Based Method (FBM) method proposed improve efficiency HESS under load disturbance intermit...