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The stability of dc and ac bus voltage is of the most important issues in all microgrids including ac, dc or ac/dc hybrid microgrids. In this paper, a hybrid ac/dc microgrid is proposed to reduce processes of multiple reverse conversions in an ac or dc microgrid and to facilitate the connection of various renewable ac and dc sources and loads to power system. Also, all control schemes used among all...
The stability of dc and ac bus voltage is of the most important issues in all microgrids including ac, dc or ac/dc hybrid microgrids. In this paper, a hybrid ac/dc microgrid is proposed to reduce processes of multiple reverse conversions in an ac or dc microgrid and to facilitate the connection of various renewable ac and dc sources and loads to power system. Also, all control schemes used among all...
The stability of dc and ac bus voltage is of the most important issues in all microgrids including ac, dc or ac/dc hybrid microgrids. In this paper, a hybrid ac/dc microgrid is proposed to reduce processes of multiple reverse conversions in an ac or dc microgrid and to facilitate the connection of various renewable ac and dc sources and loads to power system. Also, all control schemes used among all...
This paper studies the maintenance decisions of generating companies (GENCOs) which are fully engaged in oligopolistic electricity market. Maintenance decisions in an oligopolistic electricity market have a strategic function, because GENCOs usually have impacts on market prices through capacity outages. The main contribution of this paper is modeling a game theoretic framework to analyze strategic...
This paper describes generation maintenance scheduling in an oligopolistic environment as a strategic decision. Maintenance decisions in an oligopolistic electricity market have a strategic function, because GENCOs usually have impacts on market prices through capacity outages. The main contribution of this paper is modeling a game theoretic framework to analyze strategic behaviors of GENCOs. Each...
This paper presents a developed energy management system for a microgrid (MG). This microgrid management system (MMS) generates an optimum operation plan for a microgrid on next day. This planning is optimized from economical view point based on profit maximization while abiding by system constraints and regulatory rules. The MG considered in this paper consists of wind turbine, microturbines, photovoltaic...
In this paper a model-free optimization method is applied to the problem of unit sizing in a hybrid power system such that demand of residential area is met. Optimal sizing of two systems is considered. In the system No.l, the produced power is delivered to the load and the hydrogen produced by the reformer is stored in the tank. If the power produced by the wind turbine is more than the demand, the...
In the competitive electricity markets, accurate price forecasting embody crucial information for producers and consumers when planning bidding strategies in order to maximize their benefits and utilities, respectively. This paper presents a succinct survey of energy price forecasting techniques and models. The two major groups of the models are the stationary and non-stationary time series models...
A novel hybrid neural network model to the problem of short-term load forecasting (STLF) is proposed in this paper. The electric load is strongly related to metrological conditions and forecast models depend on climatic studies. The most used variable is the air temperature, because there is a close relation between thermal state of well being and the corresponding load (air-conditional apparatus...
The major application of the stand-alone power system is in remote areas where utility lines are uneconomical to install due to terrain, the right-of-way difficulties or the environmental concerns. The wind power output can fluctuate on an hourly or daily basis. The stand-alone system must, therefore, have some means of storing energy, which can be used later to supply the load during the periods...
The paper presents an improved method for a 24-hour load forecasting in the power system by using self organizing map (SOM) of Kohonen neural network .In this paper two models are compared with each other. The main difference between these models is about determining the training patterns procedure. In the first basic model, the training of neural networks performs in similar patterns with the most...
In this paper a novel intelligent method is applied to the problem of sizing in a hybrid power system such that the demand of residential area is provided. The system consist of fuel cells, some wind units, an electrolyzer, a reformer, a compressor, an anaerobic reactor and a hydrogen tank. The system is assumed to be stand-alone and uses the municipal waste as an available energy resource. PSO algorithm...
This paper presents an optimized design of stand-alone multi sources hybrid power system includes sources like, wind farm, photovoltaic array, diesel generator and battery bank based on an evolutionary algorithm. In this work, the battery bank has been used to cover the emergency loads energy. For this approach, economic aspects such as interest rate, inflation, capital recovery factor, sinking found...
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