Optimal Network Reconfiguration and Distributed Generation Placement in Distribution System Using a Hybrid Algorithm
Mohammad Ali Hormozi,
Mohammad Barghi Jahromi,
Gholamreza Nasiri
Issue:
Volume 5, Issue 5, October 2016
Pages:
163-170
Received:
26 August 2016
Accepted:
13 September 2016
Published:
19 October 2016
Abstract: In this paper a method for solving optimal distribution network reconfiguration and optimal placement distributed generation (DG) with the objective of reducing power losses and improving voltage profile with the least amount of time using a combination of various techniques is offered. In the proposed method, first, a meta-heuristic algorithm (MHA) is used to solve the problem of optimal DG placement. The search space for using this technique has been reduced to the optimal scale which is why this technique is accurate and quick. After solving optimal DG placement using the abovementioned technique, a binary particular swarm optimization algorithm (BPSO) is presented for solving the network reconfiguration. In fact, by reducing the search space, the speed of the technique for solving the problem is improved. The proposed technique has been implemented with different scenarios on IEEE 33- and 69-node test systems. The comparison of the results with those of other methods indicates the effectiveness of this technique.
Abstract: In this paper a method for solving optimal distribution network reconfiguration and optimal placement distributed generation (DG) with the objective of reducing power losses and improving voltage profile with the least amount of time using a combination of various techniques is offered. In the proposed method, first, a meta-heuristic algorithm (MHA...
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Effect of the Pyramidal Texture of the Front Outer Layer on the Macroscopic Electric Parameters of a N-Zno/N-Cds/P-Cu(In, Ga) Se2 Solar Cell
Alain Kassine Ehemba,
Mouhamadou Mamour Soce,
Demba Diallo,
Salif Cisse,
Moustapha Dieng
Issue:
Volume 5, Issue 5, October 2016
Pages:
171-176
Received:
20 September 2016
Accepted:
28 September 2016
Published:
3 November 2016
Abstract: In this work a theoretical study on the behavior of the macroscopic physical parameters of the solar cell according to the texture of the front outer surface is conducted. The morphology of the texture of surface can vary according to the angle formed by the edges of the pyramidal structure and according to the depth. The studied macroscopic electric parameters are the short circuit current density Jsc, the open circuit voltage Voc, the maximum power Pm of the cell and the external quantum efficiency EQE. The study of the influence of the angle of texture indicates an angle optimal of 70° which give a short-circuit current density of 0.3361mA.cm-2, an open circuit voltage of 0.8289V and a maximum power of 0.2375mW. The quantum efficiency in ultraviolet wavelength range is reduced by the increase in the angle of texture, while it increases the EQE in the near infrared range. The maximum absorption area extends on both sides of the visible wavelength range. The study of the variation of the electric parameters according to the combined effects of the angle and the depth of texture gives optimal performances for a texture angle of 70° and a texture depth of 21.875nm.
Abstract: In this work a theoretical study on the behavior of the macroscopic physical parameters of the solar cell according to the texture of the front outer surface is conducted. The morphology of the texture of surface can vary according to the angle formed by the edges of the pyramidal structure and according to the depth. The studied macroscopic electr...
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