فهرست مطالب

  • Volume:6 Issue: 3, Sep 2017
  • تاریخ انتشار: 1398/02/07
  • تعداد عناوین: 6
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  • Hossein Tavakoli *, Seyed mehdi Hakimi Pages 1-6
    In this paper, two basic steps are taken to optimize and manage the energy of the smart home . In the first step, To provide a mathematical model and energy pattern to determine the temperature of the air conditioner thermostat with regard to climate change, so that ultimately the cost of consumed electricity is minimized and the welfare level of the smart home inhabitants will not fall below the definition. For this purpose, the neural network method has been estimated to have an instantaneous price for electricity in the coming days, with external temperature information outside the home and the current price of electricity in recent days. Then, using the PSO algorithm, the thermostat setting temperature is determined to optimize energy consumption and minimize the cost of consumable electricity. In the second step, while extracting the equivalent electric vehicle load and power consumption to charge it, the technical and economical analysis of providing smart home power supply through the storage battery of the electric vehicle is considered, so that according to the instantaneous electricity price calculated in the first step At a time when the cost of purchasing electric power from the electric network is high, the battery will provide electric power to the smart home power. Economic analysis results show savings on the cost of purchasing electrical energy with the proposed idea of this paper.
    Keywords: Electric Vehicle, Smart Home, Energy Optimization
  • Habib BENBOUHENNI, BOUDJEMA Zinelaabidine, Abdelkader BELAIDI Pages 7-19
    Traditional direct vector command (DVC) structures which include proportional-integral (PI) regulators of a doubly fed induction generator (DFIG) driven have some disadvantages such as parameter tuning complications, mediocre dynamic performances and reduced robustness. Thus, based on analysis of the DFIG model supplied by new modulation technique, this article addresses a four-level space vector modulation (SVM) based on fuzzy logic algorithm (FSVM). The classical DVC command with SVM technique has large ripples on the stator active and stator reactive developed by the DFIG. In order to solve this disadvantage, the DVC command with FSVM technique is proposed. Simulation results show the effectiveness of the proposed command scheme especially in power ripples behavior, reference tracking test and robustness against generator parameters variations.
    Keywords: Direct vector command, doubly fed induction generator, space vector modulation, fuzzy space vector modulation, fuzzy logic
  • Morteza Hadipour, Mohsen Aghazadeh Shiran Pages 21-29
    This paper deals with all types of pollutions for power line insulators. In many different references including IEEE standards and various articles, a list of different types of pollutions are introduced. But those lists are not complete and other cases should be added to them. In this paper, all parts of an insulator are introduced and different types of insulator pollutions and the reasons behind existence of these pollutants are identified as well. Furthermore, appropriate pictures for various types of insulator pollutions are provided to give an accurate understanding of these pollutions for future works, and this also make us able to adopt preventive measures according to the type of pollution in order to reduce or remove the pollution resources of insulators and other system equipment. Moreover, with the aim of washing polluted insulators these pictures help to choose a suitable fluid with low cost, significant clearing feature and desirable for environmental applications.
    Keywords: insulator, pollutions, washing, power lines
  • Impact of Renewable Energy Resource Based Distributed Generation on Distribution Network Loss and voltage Profile / Optimal allocation of renewable energy resource based distributed generation using bird swarm algorithm
    Sabarinath G Pages 31-39
    This article addresses an optimal allocation of Distributed Generation (DG) in a distribution network for minimization of network loss due to the active component of current. For this work, Combined Power Loss Sensitivity (CPLS) analysis is utilized to identify the appropriate position/location of DG. However, the appropriate size of DG is determined through a nature-inspired; population-based Bird Swarm Algorithm (BSA). Secondly, the influence of DG penetration level on network loss and voltage profile is investigated and presented. In this regard, three types of DG technologies (solar, wind and biomass) are developed for loss reduction. The performance of CPLS and BSA methodology is successfully evaluated on IEEE 33 and 69 bus standard systems. The results attained with the planned approach are compared with the existing methods in the literature.
    Keywords: Bird Swarm Algorithm, Combined Power Loss Sensitivity, Distributed Generation, Distribution Network, Penetration Level, Power Factor, Power Loss
  • Majid Delshad, Mehdi Aghajani Pages 41-48
    A new soft-switching flyback converter with coupled inductors snubber is presented in this paper. The passive snubber circuit, which is composed of two diodes, two capacitors, and two coupled inductor, ensures a zero current turn-on and zero voltage turn-off conditions for the power switch, and alleviates the reverse-recovery problem for the output diode. Moreover, with the proper design of the snubber circuit, the power switch and output diode can be softly switched in a wide load range. The operating principle and performance analysis of the proposed converter are described in detail. The experiment from a 400W prototype has been carried out and the results show that the proposed converter has the advantages of simple structure, low complexity control, and the highest efficiency is more than 95%.
    Keywords: soft switching, flyback convertor, auxiliary circuit, coupled inductor
  • A New soft switching technique for high step down DC-DC converter
    majid delshad, mostafa fatehi, shokuh shabani Page 49
    A new high step down soft switching DC-DC converter is proposed in this paper. In the proposed converter, the voltage gain is lower than the conventional buck converter, and the soft switching condition under zero voltage switching is established. Due to this condition in addition to reducing switching losses, there is no reverse recovery problem in the proposed converter. Another feature of the proposed converter is use of a synchronous switch instead of a high-current output diode, which is reduced the conduction losses of the output diode. Control of the converter is done in the same way as the conventional buck converter as PWM, and the converter maintains its control simplicity. The operation of the proposed converter is described and its relationship is expressed. The design and selecting the value of elements in the proposed converter are presented. To verify the theoretical analysis, a 120 W prototype of the converter is made and tested and the experimental results are presented.
    Keywords: Buck converter, High step down, ZVS, PWM