Modelling of the three phase electric arc furnace and its voltage flicker mitigation is the purpose of this paper. The arc furnace model is implemented referring to an actual electric plant installed in Mobarakeh, Isfahan, Iran. For modelling of the electric arc furnace, at first, the arc is modeled using current-voltage characteristics of a real arc, i.e., the arc current samples as inputs and their corresponding voltages as outputs in the equivalent circuit of the furnace and its supply system. Then, the arc random characteristic has been taken into account by modulating the ac voltage by a band limited white noise. Electric arc furnace compensation with static VAr compensator, Thyristor controlled reactor combined with a fixed capacitor bank (TCR/FC), is discussed for closed loop control of the compensator. Instantaneous flicker sensation curves, before and after accomplishing compensation, are measured based on IEC standard. In closed loop control, two different approaches are considered; the former is based on voltage regulation at the point of common coupling (PCC) and the later is based on enhancement of power factor at PCC. A new method for controlling TCR/FC compensator is proposed. This method is based on applying a predictive method with closed loop control of the TCR/FC. In this method, by using the previous samples of the load reactive power, the future values of the load reactive power are predicted in order to consider the time delay in compensator control. I.

Background: Some clinical scoring systems as the quantitative tools have been developed to assess the presence and severity of Diabetic Peripheral Neuropathy (DPN) based on both the patient’s complaints and the physicians’ findings. This study was aimed at assessing the presence and severity of sural and peroneal nerve neuropathies using Michigan Neuropathy Screening Instrument (MNSI) and United Kingdom Screening Test (UKST) questionnaire compared with electrodiagnosis assessments. Methods: 148 patients with Diabetes Mellitus (DM) including 80 females and 68 males with a mean age of 57.6, 19 type 1DM and 129 type 2 DM were recruited in this study. The findings of the electrophysiological study such as peroneal and sural nerves’ conduction delay, velocity and amplitude were gathered. The patients were also assessed regarding the clinical neuropathy status using the two instruments of MNSI and UK. Results: The mean neuropathy score of MNSI and UKST were 2.2 (1.7) and 4.1 (3.0), respectively. Each instrument detected the DPN in 47.3% and 64.9% of the patients, respectively. Also, based on the nerve conduction studies (NCS), the neuropathy of sural and peroneal nerves was found in 54.1% and 79.7%, respectively. Unlike the peroneal nerve, there was a significant agreement between the electrodiagnosis assessment and the screening tools in the diagnosis of sural nerve neuropathy. Conclusion:  Given that NCS is a practical, simple, and non-invasive approach and also can determine the level of damage and regeneration in peripheral nerves, sural nerve conduction study is suggested as a convenient option for screening and diagnosing the diabetic neuropathy.