Journal of Electrical and Electronic Engineering

Volume 3, Issue 3, June 2015

  • Analysis on the Basis of Volterra Series Signal–To–Noise Ratio of Nonlinear Device in the Conditions of the Stochastic Resonance Effect

    Okcana Kharchenko, Vladislav Tyutyunnik

    Issue: Volume 3, Issue 3, June 2015
    Pages: 25-29
    Received: 29 March 2015
    Accepted: 11 April 2015
    Published: 27 April 2015
    Downloads:
    Views:
    Abstract: In this paper, the stochastic resonance effect is considered. It is shown that the stochastic resonance effect appears in the conditions of operating on the nonlinear system of additive mixture of desired signal and noise. The numerical simulation of the output signal when exposed to the input of the system of additive mixture harmonic signal and n... Show More
  • Design and Simulation of TCR-TSC in Electric Arc Furnace for Power Quality Improvement at Steel Making Plant (No-1 Iron and Steel Mill, Pyin Oo Lwin, Myanmar)

    Thet Mon Aye, Soe Win Naing

    Issue: Volume 3, Issue 3, June 2015
    Pages: 30-35
    Received: 03 April 2015
    Accepted: 11 April 2015
    Published: 13 May 2015
    Downloads:
    Views:
    Abstract: Electric Arc Furnaces (EAFs) are unbalanced nonlinear and time varying loads, which can cause many problems in the power system quality. As the use of arc furnace loads increases in industry, the important of the power quality problems also increase. So, in order to optimize the usage of electric power in EAFs, it is necessary to minimize the effec... Show More
  • Effects of Distributed Generation on System Power Losses and Voltage Profiles (Belin Distribution System)

    Chaw Su Hlaing, Pyone Lai Swe

    Issue: Volume 3, Issue 3, June 2015
    Pages: 36-41
    Received: 11 April 2015
    Accepted: 24 April 2015
    Published: 15 May 2015
    Downloads:
    Views:
    Abstract: In present times, the use of DG systems in large amounts in different power distribution systems has become very popular and is growing on with fast speed. Although it is considered that DG reduces losses and improves system voltage profile, this paper shows that this is usually true. The paper presents voltage stability index based approach which ... Show More
  • Short-term Electrical Energy Consumption Forecasting Using GMDH-type Neural Network

    Tsado Jacob, Usman Abraham Usman, Saka Bemdoo, Ajagun Abimbola Susan

    Issue: Volume 3, Issue 3, June 2015
    Pages: 42-47
    Received: 20 April 2015
    Accepted: 29 April 2015
    Published: 19 May 2015
    Downloads:
    Views:
    Abstract: Electric load forecasting plays an important role in the planning and operation of the power system for high productivity in any institution of learning. A short-term electrical energy forecast for Gidan Kwano campus, Federal University of Technology Minna, Nigeria was carried out using GMDH-type neural network and the result was compared to that o... Show More
  • A Wideband Directional Microstrip Slot Antenna for On-Body Applications

    Mehdi Hamidkhani, Behdad Arandian

    Issue: Volume 3, Issue 3, June 2015
    Pages: 48-51
    Received: 29 April 2015
    Accepted: 13 May 2015
    Published: 28 May 2015
    Downloads:
    Views:
    Abstract: Antennas are one of the main components of every wireless telecommunication system. With wideband antennas for on-body applications, there are some additional features that should be considered including radiation and physical size. In this paper, we presented a wideband omnidirectional slot antenna with a reflector element improvised under the fee... Show More
  • Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller

    Dhanesh Kumar Sambariya

    Issue: Volume 3, Issue 3, June 2015
    Pages: 52-64
    Received: 09 June 2015
    Accepted: 18 June 2015
    Published: 02 July 2015
    Downloads:
    Views:
    Abstract: In this paper, the fuzzy logic controller (FLC) based power system stabilizer (PSS) with compressed / reduced rule is presented. The FLC rule base is generally based on empirical control rules. In this method, the fuzzy system with a large number of fuzzy rules is compressed to a fuzzy system with a reduced number of rules by removing the redundant... Show More