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International Journal of Applied Power Engineering (IJAPE)
ISSN : 22528792     EISSN : 27222624     DOI : -
Core Subject : Engineering,
International Journal of Applied Power Engineering (IJAPE) focuses on the applied works in the areas of power generation, transmission and distribution, sustainable energy, applications of power control in large power systems, etc. The main objective of IJAPE is to bring out the latest practices in research in the above mentioned areas for efficient and cost effective operations of power systems. The journal covers, but not limited to, the following scope: electric power generation, transmission and distribution, energy conversion, electrical machinery, sustainable energy, insulation, solar energy, high-power semiconductors, power quality, power economic, FACTS, renewable energy, electromagnetic compatibility, electrical engineering materials, high voltage insulation technologies, high voltage apparatuses, lightning, protection system, power system analysis, SCADA, and electrical measurements.
Arjuna Subject : -
Articles 5 Documents
Search results for , issue "Vol 2, No 3: December 2013" : 5 Documents clear
Probabilistic Q-margin Calculations Considering Dependency of Uncertain Load and Wind Generation Jung-Uk Lim
International Journal of Applied Power Engineering (IJAPE) Vol 2, No 3: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (196.353 KB) | DOI: 10.11591/ijape.v2.i3.pp141-148

Abstract

This paper presents a novel probabilistic approach for computation of the reactive power margin (or Q-margin) of a power system with large-scale uncertain wind generation. Conventionally, Q-margin has been used as an index for indicating the system voltage stability level on system operation and planning. The conventional Q-margin method needs to be modified to fully accommodate uncertainties due to wind generation. This paper proposes a new Q-margin computation method using Q-matrix and the expected Q-margin (EQM). Q-matrix is a generic uncertainty matrix representing a discrete joint distribution of load and wind generation and the EQM, calculated from the Q-matrix, is a specific probabilistic variable that supersedes the conventional Q-margin. The proposed method is verified with the IEEE 39-bus test system including wind generation.
Experimental Study of A Vacuumed Solar Still System Omar Badran; Nabil Beithou; Aiman Al Alawin; Ahmad Awad; Yaser Abdelhadi; Anwar Al-Mofleh
International Journal of Applied Power Engineering (IJAPE) Vol 2, No 3: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.166 KB) | DOI: 10.11591/ijape.v2.i3.pp99-104

Abstract

This experimental study presents a thermal design of a passive solar water distillation system with vacuum. The designed model consists of a glass cover, basin water equipped with reflecting mirror and insulation, and controlled vacuum pump to create vacuum inside the still to decrease the saturation temperature of water and in order to increase the yield. Feed water in the basin is heated by solar energy, and the evaporated water is condensed by inner glass cover. The temperatures at different locations in the system, the received amount of solar radiation, and the distilled water produced were determined. The highest temperature developed inside the distilling device was 51˚ C at ambient temperature of 24˚ C, the daily water production was 1.2 L/m2.day, and the efficiency of the solar still was 15%.
Performance of Grid-connected Photovoltaic System in Equatorial Rainforest Fully Humid Climate of Malaysia Mohamad Zhafran Hussin; A. M. Omar; Z. M. Zain; S. Shaari
International Journal of Applied Power Engineering (IJAPE) Vol 2, No 3: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.918 KB) | DOI: 10.11591/ijape.v2.i3.pp105-114

Abstract

This paper presents a result obtained from a comparative study among three different photovoltaic (PV) module technologies for grid-connected photovoltaic system (GCPV) under Malaysia’s real operating conditions. The obtained results were slightly different from the performance ratio (PR) investigation which showed the average annual performance of 78.2% for polycrystalline, 94.6% for a-Si thin-film and 81% for monocrystalline PV technologies over four years monitored period. The outdoor evaluation results showed that a-Si thin-film PV modules demonstrate the highest and better in terms of final yield, performance ratio and PV array/system efficiency over the entire monitored period. In other hands, a-Si thin-film demonstrated the reliability and better in system performance
Multi Area Economic Dispatch Using Secant Method and Tie Line Matrix Sudhakar AVV; Chandram Karri; Jayalaxmi A
International Journal of Applied Power Engineering (IJAPE) Vol 2, No 3: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (222.106 KB) | DOI: 10.11591/ijape.v2.i3.pp115-124

Abstract

In this paper, Secant method and tie line matrix are proposed to solve multi area economic dispatch (MAED) problem with tie line loss. Generator limits of all generators in each area are calculated at given area power demands plus export (or import) using secant method and the generator limits of all generators are modified as modified generator limits. Central economic dispatch (CED) problem is used to determine the output powers of all generators and finally power flows in all tie lines are determined from tie line matrix. Here, Secant method is applied to solve the CED problem. A modified tie line matrix is used to find power flow in each tie line and then tie line loss is calculated from the power flow in each tie line. The proposed approach has been tested on two-area (two generators in each area) system and four-area (four generators in each area) system. It is observed from various cases that the proposed approach provides optimally best solution in terms of cost with tie line loss with less computational burden.
A Simple Approach for Optimal Generation Scheduling to Maximize GENCOs Profit Using PPD Table and ABC Algorithm Under Deregulated Environment Kaliyamoorthy Asokan; R. Ashokkumar
International Journal of Applied Power Engineering (IJAPE) Vol 2, No 3: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.953 KB) | DOI: 10.11591/ijape.v2.i3.pp125-140

Abstract

In this paper an attempt has been made to solve the profit based unit commitment problem (PBUC) using pre-prepared power demand (PPD) table with an artificial bee colony (ABC) algorithm. The PPD-ABC algorithm appears to be a robust and reliable optimization algorithm for the solution of PBUC problem. The profit based unit commitment problem is considered as a stochastic optimization problem in which the objective is to maximize their own profit and the decisions are needed to satisfy the standard operating constraints. The PBUC problem is solved by the proposed methodology in two stages. In the first step, the unit commitment scheduling is performed by considering the pre-prepared power demand (PPD) table and then the problem of fuel cost and revenue function is solved using ABC Algorithm. The PPD table suggests the operator to decide the units to be put into generation there by reducing the complexity of the problem. The proposed approach is demonstrated on 10 units 24 hour and 50 units 24 hour test systems and numerical results are tabulated. Simulation result shows that this approach effectively maximizes the GENCO’s profit than those obtained by other optimizing methods.

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