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Achieving Low Carbon Emission Using Smart Grid Technologies

机译:使用智能电网技术实现低碳排放

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This paper presents a novel carbon emission flow (CEF) model to assess and analyze the carbon emission of each component in power networks. Through the use of information about CEF, demand side management (DSM) and supply side management (SSM) are combined to reduce the emission. Three levels of load curtailment and three strategies of renewable energy sources (RES) utilization are proposed. The IEEE 30-bus system is used to validate the framework of CEF, involving the UK actual daily data of electricity and RES. Simulation results confirm the feasibility of the proposed model and approaches. In the case of DSM, the higher penetration of DSM can result in a higher emission reduction. In the case of SSM, the proposed largest emission substitution strategy can achieve the best performance. In addition, winter day shows a better carbon reduction than summer day in both cases.
机译:本文提出了一种新颖的碳排放流量(CEF)模型,用于评估和分析电力网络中每个组件的碳排放。通过使用有关CEF的信息,将需求方管理(DSM)和供应方管理(SSM)结合起来以减少排放。提出了削减负荷的三个级别和可再生能源利用的三种策略。 IEEE 30总线系统用于验证CEF的框架,该框架涉及英国实际的每日电力和RES数据。仿真结果证实了所提模型和方法的可行性。在DSM的情况下,DSM的较高渗透率可以导致更高的排放量减少。对于SSM,建议的最大排放替代策略可以达到最佳性能。另外,在两种情况下,冬季都比夏季更好地减少了碳排放。

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