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中文摘要：
随着主动配电网的建设与发展,利用大量的历史数据深度挖掘配电网状态信息,快速、准确地获得配电网实时运行状态和未来发展趋势成为目前亟待解决的问题。文章提出一种基于历史数据挖掘的配电网态势感知方法。该方法为传统状态估计器提供了新的虚拟量测信息,且对配电网未来趋势进行态势预测。仿真结果表明,该态势感知方法不仅提高了配电网三相状态估计的收敛速度和收敛精度,且为配电网调度提供了准确的预测信息,为自动智能调度体系实现主动、快速、预防控制提供了技术支撑。
英文摘要：
With construction and development of active distribution network, accurate acquisition of current state and future state trend of distribution network based on abundant historical data has become an urgent problem to solve. A novel situation awareness approach in active distribution networks based on historical data-mining model is proposed in this paper. The proposed method provides new virtual measurements to state estimator and predicts future state trend. Simulation results show that the situation awareness approach has better performance in both accuracy and convergence compared with traditional state estimator and can predict state trend accurately.
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