Automatic electric load identification in self-configuring microgrids

摘要: A microgrid is the power system of choice for electrification rural areas in developing countries. It should be able to adapt changing load situations without need specialists change configuration controller. This paper proposes a self-configuring management that adjust both generation and demand system, so also case growing electricity grid can still operable by disconnecting unessential loads. crucial task controller automatically identify connected loads on basis their consumption behaviors. For this, template-matching algorithm proposed based Dynamic Time Warping, which primarily used speech recognition. has been found profile analysis, simple signal features such as number rising edges or aggregated energy given time window sufficient describe signal. In contrast recognition, frequency domain analysis not necessary.