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THE FUZZY SETS IN ELECTRICAL LOAD MODELLING

机译:电气负荷建模中的模糊集

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In distribution system, bus load estimation is complicated because system load is usually monitored at only a few points. As a rule receiving nodes are not equipped with stationary measuring instruments so measurements of loads are performed sporadically, In general, the only information commonly available regarding loads, other than major distribution substations and equipment installations, is billing cycle customer kWh consumption. In order to model system uncertainty, inexactness, and random nature of customers' demand, a fuzzy system approach is proposed. This paper presents possibilities of application of the fuzzy set theory to electrical load estimation. Unreliable and inaccurate input data have been modelled by means of fuzzy numbers. A regression model, expressing the correlation between a substation peak load and a set of customer features (explanatory variables), existing in the substation population, is determined. Simulation studies have been performed to demonstrate the efficiency of the proposed scheme and an effect of different parameters on its accuracy on the basis of actual data obtained at distribution system substations.
机译:在配电系统中,总线负载估计很复杂,因为通常只在几个点上监视系统负载。通常,接收节点没有配备固定的测量仪器,因此负载的测量是偶尔执行的。通常,除主要配电变电站和设备安装外,关于负载的通常唯一可用信息是计费周期客户kWh消耗。为了对系统不确定性,不精确性和客户需求的随机性进行建模,提出了一种模糊系统方法。本文提出了将模糊集理论应用于电力负荷估算的可能性。不可靠和不准确的输入数据已通过模糊数建模。确定一个回归模型,该模型表示变电站高峰负荷与一组存在于变电站总体中的客户特征(解释变量)之间的相关性。已经进行了仿真研究,以根据配电系统变电站获得的实际数据证明所提出方案的效率以及不同参数对精度的影响。

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