The measurement of flicker is described in the IEC 61000-4-15 standard. This measurement is based on a flicker meter. This meter has a continuous voltage signal input and outputs of instantaneous flicker sensation (Pinst) and a discrete flicker severity called as short term flicker (Pst) [2]. The measurement method defined in IEC 61000-4-15 is not sufficient for flicker source detection. Therefore, various methods based on signal processing techniques has been presented in the literature for source detection.In this paper, a review of flicker source detection methods based on IEC 61000-4-15 and signal processing techniques are presented. M. Silsüpür is with the

Depending on different load characteristics, various power quality disturbances such as sag-swell, harmonics, inter-harmonics, and flicker, appear in electric power systems. Among these power quality disturbances, the flicker is one of the critical power quality phenomenon due to the lack of source detection and disturbance responsibility sharing method. The measurement of the flicker level is defined in the IEC 61000-4-15 standard by a flicker meter. This meter deals only with voltage signals and is not sufficient to understand the contribution of the load and background power systems separately. Thus, this paper proposes new approaches to the evaluation of flicker characteristics using the real on-site measurements taken from two different iron and steel factories. The novelty of this paper is investigating the flicker characteristics in light of statistical methods, spectral and multi-resolution wavelet analysis, and the information theory based wavelet energy entropy analysis together, and proposing a new index to interpret the flicker responsibility of load and power system. This proposed index is called Flicker Contribution Ratio (FCR) and represents the percentage flicker disturbance responsibility of both load and power system.

In recent years, electricity demand has been increasing, whereas conventional or petroleum-derived energy resources which are used for generating electrical power have been decreasing day by day. On the other hand, environmental problems due to petroleum-derived energy resources are another vital issue in the world. Renewable energy resources play a crucial role in less global warming, improving public health and inexhaustible energy. Inverters are one of the main components of renewable resources such as solar cells, wind turbine, fuel cells etc. Power quality is one of the major problems for all power systems. Power quality is getting more complicated by integrating renewable energy systems. For this reason, power quality effects of inverters must be investigated. In this study, different single and three-phase inverter topologies were designed and analyzed. In terms of single-phase four different topologies, in terms of three-phase, three different topologies were modeled. All topologies were investigated for current waveform under varying load conditions and compared in terms of DC injection, total harmonic distortion (THD) and individual harmonics with the help of PSIM and MATLAB Simulink.

No abstract

As a result of the integration of various new load types and generation units into electric power systems, power quality disturbances such as sag–swell, harmonics, inter‐harmonics, and flicker have come into focus in the last decades. Among these disturbances, flicker is one of the serious power quality issues for both power system operators and users. In addition to having direct effects on human life such as the discomfort caused by visual disturbance, flicker may cause incorrect operations of electrical devices. Furthermore, finding a dominant flicker source in order to mitigate it and supply high‐quality power to users are the main tasks of network operators. The measurement of the flicker level is defined in the IEC 61000‐4‐15 standard as measured by a flicker meter; however, it deals only with voltage signals and is not sufficient to understand the contribution of the load and background power systems separately. Therefore, this paper proposes new approaches to the evaluation of flicker characteristics using simulated and real signals. The novelty of this paper is that it investigates the flicker characteristics in the light of multi‐resolution wavelet analysis and information‐theory‐based wavelet energy entropy analysis together and proposes a new index to interpret flickers' responsibility in load and flicker source detection. The proposed method uses only voltage and current signals and does not require additional calculation of any network parameter such as the system impedance. The proposed method is validated by simulations as well as site measurements, and the results show the accuracy and suitability of the proposed method. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.