244 research outputs found

    Power flow stabilization and control of microgrid with wind generation by superconducting magnetic energy storage

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    High penetration of renewable energy sources such as wind generation in microgrids (MGs) causes fluctuations of power flow and significantly affects the power system (PS) operation. This can lead to severe problems, such as system frequency oscillations, and/or violations of power lines capability. With the proper control, superconducting magnetic energy storage (SMES) is able to significantly enhance the dynamic security of the PS. In an SMES system, the power conditioning system (PCS) is the crucial component that directly influences the validity of the SMES in the dynamic control of the PS. This paper proposes the use of an improved SMES controller for the stabilization and control of the power flow of wind-hybrid MGs. In this sense, the design and implementation of a novel high-performance PCS scheme of the SMES is described. Moreover, a detailed model of the SMES unit is derived and a novel three-level control scheme is designed, comprising a full decoupled current control strategy in the d-q reference frame and an enhanced PS frequency controller. The dynamic performance of the proposed systems is fully validated by computer simulation.Fil: Molina, Marcelo Gustavo. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Mercado, Pedro Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

    Advanced Power Electronic Interfaces for Distributed Energy Systems Part 1: Systems and Topologies

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    Modeling and Simulation of a Microturbine Generator to be Coupled With a Molten Carbonate Fuel Cell for Distributed Generation

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    Distributed generation is desired when the individual energy requirements ranging from 25-75 kW of office buildings, restaurants, hospitals and apartments can not be met by the current electric utility grid. Microturbine generators as stand alone power generation systems have been designed to meet these requirements. For power requirements up to 50 MW, hybrid fuel cell systems offer higher efficiency and lower levels of pollutant emissions with more advanced fuel energy savings than non-hybrid systems. The objective of this project is to develop a simulation of a microturbine generator as a stand alone power generation system to validate a microturbine generator as part of a hybrid power generation system designed to produce 250 kW of usable power in MATLAB/Simulink®. The stand alone power generation system will be modeled using a 1-Dimensional approach. The hybrid power generation system is modeled as three major sub-systems; a hybrid microturbine generator, a molten carbonate fuel cell with catalytic oxidizer, and a shell-and-tube heat exchanger. The hybrid power generation system will be analyzed by two different models; a 0-Dimensional hybrid model where all the components are 0-Dimensional and a 0-Dimensional model with 1-Dimensional zooming for the hybrid microturbine generator. The analysis of the stand alone system is used for validation of the hybrid system at the operating design point of the microturbine generator. A control system was placed on the hybrid microturbine generator power generation system and an analysis was completed on the temperature response of the 0-Dimensionl hybrid system as the microturbine generator power was ramped from 0-30 kW over six different time intervals. A second controller was placed on the fuel cell power generation system to further analyze the hybrid system\u27s controllability. The three MATLAB/Simulink® models developed provide an initial design methodology for modeling and simulation of a hybrid power generation system

    Microturbine Power Conversion Technology Review

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    Optimizing Hybrid Renewable Energy Systems: A Review

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    With the fast progression of renewable energy markets, the importance of combining different sources of power into a hybrid renewable energy system (HRES) has gained more attraction. These hybrid systems can overcome limitations of the individual generating technologies in terms of their fuel efficiency, economics, reliability and flexibility. One of the main concerns is the stochastic nature of photovoltaic (PV) and wind energy resources. Wind is often not correlated with load patterns and may be discarded sometimes when abundantly available. Also, solar energy is only available during the day time. A hybrid energy system consisting of energy storage, renewable and nonrenewable generation can alleviate the issues associated with renewable uncertainties and fluctuations. Large number of random variables and parameters in a hybrid energy system requires an optimization that most efficiently sizes the hybrid system components to realize the economic, technical and designing objectives. This chapter provides an overview of optimal sizing and optimization algorithms for hybrid renewable energy systems as well as different objective functions considered for designing such systems
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