Data mining and data driving of harmonic in AC arc furnaces based on functional analysis

This paper use big data technology, mine synchronous harmonic measuring data of AC arc-furnaces whole production process with functional analysis, verifies that harmonic current released from AC arc-furnaces is in independence and orthogonality approximately between each other. The discovered knowledge shows that multi-arc-furnaces harmonic current can be largely counteracted each other, If these AC arc-furnaces were connected to a PCC in which short-circuit capacity is enough for that the superposed harmonic current of AC arc-furnaces can be electromagnetic compatible, then power quality of the PCC can reach the qualified level discovered knowledge further reveals the model of AC arc-furnace, disorder data stream generated from harmonic measuring data is derived to calculation composition harmonic current at PCC(Point of Common Connection) in which AC arc-furnaces were connected.