35 research outputs found

    Cloud computing for energy management in smart grid - an application survey

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    The smart grid is the emerging energy system wherein the application of information technology, tools and techniques that make the grid run more efficiently. It possesses demand response capacity to help balance electrical consumption with supply. The challenges and opportunities of emerging and future smart grids can be addressed by cloud computing. To focus on these requirements, we provide an in-depth survey on different cloud computing applications for energy management in the smart grid architecture. In this survey, we present an outline of the current state of research on smart grid development. We also propose a model of cloud based economic power dispatch for smart grid

    Solid‐state transformer based on modular multilevel converters

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    Control Strategies for the Microgrid Control System with Communication Delays

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    In this paper, two kinds of microgrid system architectures and the control approaches are studied. The proposed architectures are designed above a kind of communication network. The communication network characteristic is mainly described by network-induced delays which have greater influences on the control system performance. The network-induced delays in this paper is depicted by the inverse Gaussian distribution function. The proposed control strategies are implemented depending on the achitectures of themselves. The principle of event-triggered and droop-based approach are employed to restrain the different disturbances such as the break of main grid and insertion of new load. Some numerical examples are used to illustrated the effectiveness of the control approaches in this paper

    Optimization for Family Energy Consumption in Real-Time Pricing Environment

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