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Parameter Estimation of Diesel Generators And Application in a Micro-Grid System

机译:柴油发电机组参数估计及其在微电网系统中的应用

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A diesel generator (DG) is used to offer stable electrical power to consumers in a micro-grid system. The parameters for a DG are set to allow for successful control, identification, stability analysis and accurate simulation for distributed energy resources (DER), which maintains power supply quality and reduces operational cost. There are many parameters that must be estimated for a DG. However, the parameter settings for a DG may vary as facilities age after running for a few days. Parameters for a DG must then be re-estimated to ensure accurate simulation in a micro-grid system. The proposed method uses a sensitivity analysis to classify parameters into three different types. A four-stage optimization method combined with a charged system search (CSS) algorithm is then used to estimate the parameter settings for a DG using actual measurement data. The proposed method is applied to a practical micro-grid system and the results show that the proposed method determines the optimal parameter settings for a DG that allows reliable and accurate simulation for a micro-grid system.
机译:柴油发电机(DG)用于在微电网系统中为消费者提供稳定的电力。设置DG的参数是为了对分布式能源(DER)进行成功的控制,识别,稳定性分析和精确仿真,从而保持电源质量并降低运营成本。 DG必须估算许多参数。但是,DG运行几天后,其参数设置可能会随着设备的老化而变化。然后必须重新估计DG的参数,以确保在微电网系统中进行准确的仿真。所提出的方法使用敏感性分析将参数分类为三种不同的类型。然后,将四阶段优化方法与收费系统搜索(CSS)算法结合使用,以使用实际测量数据来估算DG的参数设置。所提出的方法应用于实际的微电网系统,结果表明,所提出的方法确定了用于DG的最优参数设置,其允许对微电网系统进行可靠且准确的仿真。

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