作者:
N Kagan，JC Cebrian，NM Matsuo，EL Ferrari，SX Duarte-University
关键词:
摘要:
ABSTRACT Voltage measurements in specific buses of the power system during events of voltage sags and swells might allow for the estimation of short duration voltage variation (SDVV) in buses where power quality is not monitored. The implementation of SDVV estimation relies on developed methods that make use of a least square error approach by comparing measurement data and simulated results so as to identify the event characteristics, e.g. fault location, fault type and fault impedances. The number of power quality meters and the best way to allocate them along the transmission system is dependent upon the electric network. This paper shows a method for the allocation of power quality meters, evaluating detection and estimation failure rates. In order to determine the best power quality meter allocation for a reliable voltage sag and swell estimation, one could think of an exhaustive search technique. This approach can be applied to small systems (few buses), but is unviable for real transmission systems, since the number of possible combinations of power quality meters is extremely high. Amongst the many optimization techniques applicable to this problem, evolutionary algorithms have proven as a very good alternative. The fitness function was carefully formulated to assess how each possible power quality meter allocation will behave for the estimation and monitoring of voltage sags and swells. The proposed algorithm was implemented and applied to a real transmission network. Some preliminary results are illustrated in this paper.
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