data mining and prediction. Abstract, modern buildings are heavy power consumers. Preview, pDF - Doctoral Thesis 2606Kb, renewable Energy is considered as an effective solution for relieving the energy crisis and reducing the greenhouse gas emissions. This thesis, for the first time, will give detailed requirements for smart grid simulation according to the power system business and operation.
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However, many literatures talked about some specific technologies and implementations, few of them could give a clear picture on the smart grid implementations in a macro scale like what is the main consideration for the smart grid implementations, how to examine the power system operation. Governments and related institutions are keen to evaluate the cost and benefit of new technologies or mechanisms in a scientific way rather than making decision blindly. After GreenCharge, we investigate the use of large-scale distributed energy storage at buildings throughout the grid to flatten grid demand, while 1) maintaining end-user incentives for storage adoption at grid-scale, and 2) ensuring grid stability. Smart grid has been advocated in both developing and developed countries in many years to deal with large amount of energy deficit and air pollutions. Finally, we examine the efficacy of employing different combinations of energy storage technologies at different levels of the grids distribution hierarchy to cut electric utility's daily operational costs. The short board on the utilities' remote control caused low-efficiency of power scheduling in the distribution power area, also increased the difficulty of the local generated renewable energy grid-connected process. Our results demonstrate that SmartCap can decrease the average deviation from mean power by over 20 across all periods with high deviation, thereby flattening the peaky demand. In this thesis, we first design SmartCap, a system to enable homes flatten their consumption/demand by scheduling background loads (such as A/Cs, refrigerator without causing user discomfort and without direct user involvement. Based on the queueing model, we explore and deliver a stochastic control model for the fast power charging station. Dissertations that have an embargo placed on them will not be available to anyone until the embargo expires. Meanwhile, issues from power system reliability which may affect consumers are required to take into account. In this case, we establish the architecture of the local smart grid community based on the structure of distribution network of the smart grid, includes terminal power consumer, secondary power substation, communication links and sub data management center.