A sustainable residential microgrid composed of two distributed generation sources (photovoltaic panels and biofuel generator), one energy storage device (battery bank), and able of supplying both AC and DC loads, including a plug-in hybrid electric vehicle, is proposed. The microgrid can operate in grid-connected mode and island mode. It is composed of a main DC bus and also an AC bus. The cha...

The hybrid micro gird is growing due to the potential benefits in providing safe, reliable and sustainable electricity from renewable energy sources. In this paper, we are discussing the multiple energy sources i.e. PV/Fuel cell and wind based hybrid microgrid with help of simulation approach to improve the power quality in microgrid with ANN control. The artificial neural network control is us...

Untill recently, state-of-the-art, large-vocabulary, continuous speech recognition (CSR) has employed Hidden Markov Modeling (HMM) to model speech sounds. In an attempt to improve over HMM we developed a hybrid system that integrates HMM technology with neural networks. We present the concept of a "Segmental Neural Net" (SNN) for phonetic modeling in CSR. By taking into account all the frames o...

During faulty condition voltage instability is one of the major crisis in power system networks. This study proposes a hybrid learning algorithm to improve the stability performance of a power system with Distributed Generations (DGs). Here the distribution system stability is maintained with reduced power loss using an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimizat...

During faulty condition voltage instability is one of the major crisis in power system networks. This study proposes a hybrid learning algorithm to improve the stability performance of a power system with Distributed Generations (DGs). Here the distribution system stability is maintained with reduced power loss using an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimizat...

Bio-inspired algorithms like Genetic Algorithms and Fuzzy Inference Systems (FIS) are nowadays widely adopted as hybrid techniques in commercial and industrial environment. In this paper we present an interesting application of the fuzzy-GA paradigm to Smart Grids. The main aim consists in performing decision making for power flow management tasks in the proposed microgrid model equipped by ren...

In recent years, the power system has been evolved into micro grids, which are little pockets of self-contained entities. Different distributed, interconnected generation units, loads, and energy storage units make up a typical microgrid system. The increased efficiency these on grids is gaining popularity Day-by-Day. Because their stochastic behavior, renewable causes an imbalance in system, n...

During the microgrid search process, optimal allocation and economic dispatch are very important and are interrelated, having interaction and mutual checks. In this paper, we adopt a bilevel planning method to search for the multi-objective optimal allocation of a microgrid, considering economic dispatch. The upper level is the optimal allocation, which aims at minimizing the daily fixed cost o...

The intelligent energy management system is operated automatically to ON and OFF the generating sources as per the load demand. The renewable energy sources used in this energy management system are solar, wind, fuel cell and energy storage element battery as an input source. These renewable energy sources are integrated into the main dc bus through dc-ac converter. Microgrid is basically a gro...

With the increasing connection of controllable devices to isolated community microgrid, an economic operation model of isolated community microgrid based on the temperature regulation characteristics of temperature controlling devices composed of wind turbine, micro-gas turbine, energy storage battery and heat pump is proposed. With full consideration of various economic costs, including fuel c...