This paper introduces a fast method to localize the multiple harmonic sources (MHS) for rectifier based loads in power distribution system by utilizing periodogram technique with a single-point measurement approach at the point of common coupling (PCC). The periodogram is a fast and
Keywords: multiple harmonic sources identification, periodogram, rectifier load, spectral impedanceCopyright © 2017 Universitas Ahmad Dahlan. All rights reserved.
IntroductionIt is vital in the harmonic analysis to identify the multiple harmonic sources with a particular target to manage the issue associated with harmonic disturbances [1]. This issue continues stretching out because of the present improvement, and changes of past conventional power system loads into modern power electronic gadgets for instance, inverter, rectifier loads and known as a harmonic producing source (HPS) [2]. In the real power distribution system, MHS can be found at upstream and downstream at the point of common coupling (PCC) [3]. Distinctive procedures in order to identify MHS have been studied in numerous research. With respect to least square and Kirchhoff's current law, state estimation strategy is presented [4]. Nonetheless, state estimation method requires numerous transducer for measurement purposes and too costly [5]. In the meantime, the earliest method to identify the MHS is utilizing power direction method, in any case this method speculatively, not precise when some harmonics and current phase angle is more than 90° [6]. To overcome this problem, a critical impedance method is introduced [7]. However, the procedure requires correct data of internal impedances of utility and customer side, meanwhile in practice it is hard to quantify these impedances values [8]. A harmonic current vector technique has additionally been proposed to fix these issues [9][10][11], whereby the estimation of the harmonic contribution with no need of exact date of client impedances. Nonetheless, it requires long estimation calculation of harmonic contributions and difficult to measure harmonic impedance at client side with a specific end goal to identify the MHS. In the previous study [12][13][14], a strategy known as harmonic source estimation is proposed utilizing Bayesian estimation and harmonic state estimation (HSE). This technique infers a high computational complexity and required the very high cost of distributed measurement system setup [15]. With an alternate approach utilizing two-points measurement approach, the author had proposed another technique by comparing the first measurement at the PCC and the second measurement at the HPS by using spectrogram method [16]. This approach gives a right data, nevertheless too expensive and difficult to be executed [17]. In common practice, where accuracy, precision and quick measurement are required, these procedures do not give the adequate result. This paper proposes multiple harmonic source identification utilizing single-point estimation using periodogram, a new approach for identifying MHS with good a...