American Journal of Electrical and Electronic Engineering

This paper demonstrates a simple technique to analyze linear electric circuits. The technique is based on assuming some voltage or current values according to the given resistance/impedance values such that a relative circuit performance is obtained. The actual circuit results are achieved directly by normalizing the assumed values using a specific formula. In practice, this method either reduces the number of simultaneous equations or simplifies the mathematical formulas; hence the overall analysis procedure is reasonably accelerated. It is highly recommended that this method is taught in electric circuit courses especially in the beginning chapters so that students can have more variety of circuit analysis techniques. It is also possible to apply such a method to verify an existing solution or vice versa.

American Journal of Electrical and Electronic Engineering. 2016, 4(2), 69-74. DOI: 10.12691/ajeee-4-2-4
Pub. Date: May 05, 2016

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Different Methods of Speed Control of Three-Phase Asynchronous Motor

by G. C. Diyoke, Okeke C. and Uchechi Aniagwu

Original Research

Asynchronous motors are the most widely used electrical motors due to their reliability, low cost, ruggedness and robustness. However, asynchronous motors do not inherently have the capability of variable speed operation. Due to this reason, earlier dc motors were applied in most of the electrical drives. But the recent developments in speed control methods of the asynchronous motor have led to their large scale use in almost all electrical drives. In this paper, various methods of speed control of induction (asynchronous) motors such as variable rotor resistance, variable stator voltage, constant Volts/hertz control, frequency variation, pole changing, etc., were carried out and MATLAB software was used to develop the codes for the analysis of these methods.

American Journal of Electrical and Electronic Engineering. 2016, 4(2), 62-68. DOI: 10.12691/ajeee-4-2-3
Pub. Date: May 05, 2016

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A Review on Hybrid Controller Using Soft Computing Algorithms

by Lokesh Kumar Agrawal, Bhavesh Kumar Chauhan and G. K. Benerjee

Review Article

Aadaptability and self-organization of a system is two key factors, when it comes to how well the system is surviving for the changes to the environment and how these work within the plant. Different tuning methods and soft computing techniques improve these two factors in controllers. Considering the increasing complexity of dynamic systems along with their need for feedback controls, using more complicated controls has become necessary and these techniques can be a suitable response to this necessity. This paper briefly describes a review on different techniques used for PID tuning as well as soft computing algorithm for hybrid controllers. This paper provides a comprehensive reference source for people working with hybrid controllers.

American Journal of Electrical and Electronic Engineering. 2016, 4(2), 49-61. DOI: 10.12691/ajeee-4-2-2
Pub. Date: April 09, 2016

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Optimal Placement of D-STATCOMs into the Radial Distribution Networks in the Presence of Distributed Generations

by Babak Safari Chabok and Ahmad Ashouri

Original Research

This paper proposes a combination of Discrete Imperialistic Competition and Nelder-Mead algorithms to solve D-STATCOMs placement optimization problem. It is assumed that optimal number, locations and sizes of D-STATCOMs are determined in radial distribution network while Distributed Generations are previously installed in it. Indeed, we focus on voltage control and concept of reactive power management in annual scheduling time interval. Objective function is defined in terms of network active power losses and voltage stability characteristic at different load levels by appropriate weighting factors. Voltage Stability Index (VSI) is applied to identify the weak buses in radial distribution network. To validate performance and effectiveness of proposed DICA-NM hybrid algorithm, simulation studies are applied on the 30-bus IEEE radial distribution test feeder. Finally, numerical results for some important network variables have been compared in three different case studies.

American Journal of Electrical and Electronic Engineering. 2016, 4(2), 40-48. DOI: 10.12691/ajeee-4-2-1
Pub. Date: March 11, 2016

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