by Mikias Hailu Kebede
Original Research
In this paper a standalone PV system for the electrification of a typical modern average home in Shewa Robit (Longitude and Latitude of 10°00′N, 39°54′E respectively with an elevation of 1280 meters above sea level) that can meet the electricity power demand successfully has been designed. So as to know the daily energy consumption, load estimation has been done by considering the floor plan of the home and the daily power consumption and energy demand of the house at peak hour were found to be 5.048kW/day and 11.619kWh/day respectively. The design result shows that a typical modern average home in Shewa Robit can be electrified by using sixteen sm-130 PV modules, six 6E120-13, 12V, 808Ah batteries, one 3kW inverter, one Schneider (Xantrex) C35, 12/24V charge controller and 20m, 53.5mm2 copper conductor with the total investment cost of $12,960.36 which gives a unit cost of energy (COE) of 0.058 $/kWh.
American Journal of Electrical and Electronic Engineering. 2018, 6(2), 72-76. DOI: 10.12691/ajeee-6-2-4
Pub. Date: June 05, 2018
12514 Views3702 Downloads8 Likes
by Ghadah M.Faisal
Original Research
The present work deal with the design of a triple band, dual layer Microstrip Patch Antenna. The frequencies of three bands are 0.9GHz, 1.798GHz, 2.402GHz. the S-parameter and the gain characteristics as well as radiation pattern are investigated. The proposed antenna is suggested to be used in a mobile phone handset that covers three frequency bands which include GSM 900 (889-960), GSM 1800 DCS 1800 (1710-1885), Bluetooth and Wi-Fi/WLAN (IEEE 802.11 b/g/n) ISM 2450 (Industrial, Scientific and Medical) (2400-2500). The proposed antenna shows return loss (RL) of -17.79dB at 0.9 GHz; -18.5 dB RL at 1.798 GHz; and -44.2 dB RL at 2.4 GHz which are encouraging results. Designing and simulation of the proposed antenna were based on CST software package. Finally enact three bandwidth are got and the antenna shows an encouraging results for WLAN applications.
American Journal of Electrical and Electronic Engineering. 2018, 6(2), 66-71. DOI: 10.12691/ajeee-6-2-3
Pub. Date: May 24, 2018
13491 Views2996 Downloads1 Likes
by Mian Khuram Ahsan, Tianhong Pan and Zhengming Li
Original Research
It is difficult to balance the power between demand and generation in electrical networks with the rise of distributed energy resources (DERs), especially for the uncertainty of renewable generation. Smart grid concepts have been developed to solve this problem. A set of distributed generation, demand flexibility and energy storage devices are locally managed to minimize the local total generation cost. However, impacts of energy storage on micro-grid has not been explored yet. In this paper, a local smart market based on a multi-agent system is presented to provide for the quantitative evidence of the beneficial impact of flexibility enabled by demand flexibility and energy storage in limiting market power by distributed generation (DG) units. Quantitative analysis is proposed by a bi-level optimization model of the micro-grid setting, accounting for the operational constraints of energy storage. This bi-level problem is solved after converting it into a Mathematical Program with Equilibrium Constraints (MPEC) and linearizing the latter through suitable techniques. Case studies demonstrate the effectiveness of the proposed method.
American Journal of Electrical and Electronic Engineering. 2018, 6(2), 60-65. DOI: 10.12691/ajeee-6-2-2
Pub. Date: May 17, 2018
8832 Views2049 Downloads
by Mian Khuram Ahsan, Tianhong Pan and Zhengming Li
Original Research
It is difficult to balance the power between demand and generation in electrical networks with the rise of distributed energy resources (DERs), especially for the uncertainty of renewable generation. Smart grid concepts have been developed to solve this problem. A set of distributed generation, demand flexibility and energy storage devices are locally managed to minimize the local total generation cost. However, impacts of energy storage on micro-grid has not been explored yet. In this paper, a local smart market based on a multi-agent system is presented to provide for the quantitative evidence of the beneficial impact of flexibility enabled by demand flexibility and energy storage in limiting market power by distributed generation (DG) units. Quantitative analysis is proposed by a bi-level optimization model of the micro-grid setting, accounting for the operational constraints of energy storage. This bi-level problem is solved after converting it into a Mathematical Program with Equilibrium Constraints (MPEC) and linearizing the latter through suitable techniques. Case studies demonstrate the effectiveness of the proposed method.
American Journal of Electrical and Electronic Engineering. 2018, 6(2), 60-65. DOI: 10.12691/ajeee-6-2-2
Pub. Date: May 17, 2018
8832 Views2049 Downloads
by S. L. Braide and E. J. Diema
Original Research
This paper considered a long term electric power load forecast for twenty years (20 years) projection, in Nigeria power system using least-square regression and exponential regression model. The model is implemented in Matlab platform with a plot in residential load demand, commercial load demand and industrial load demand in (MW). In the quest for analysis and predicting the energy (power) demand (MW) requirement for a projection period of (2013 - 2032), data are collected between (2000 - 2012), from the Central Bank of Nigeria (CBN), and National Bureau of statistics (NBS). The results obtained shows that energy generated from the respective generating station including Egbin thermal power station Lagos, Sapele thermal power station etc. are grossly inadequate. This mismatch is a major problem in power system planning and operation. The result also shows that there is deviation between predicted energy demand (MW) and available power (or capacity allocated). The predicted energy demand into the projected future of 20years is 45 5,870.2MW. The paper work also extended the prediction form into: least-square, exponential regression model. Evidently, the comparism plot for linear and exponential model which shows similar predicting pattern: particularly least-square exhibit linear behavior, while exponential shows non-linear behaviour, the linear model gives more accurate result as compared to the exponential.
American Journal of Electrical and Electronic Engineering. 2018, 6(2), 38-59. DOI: 10.12691/ajeee-6-2-1
Pub. Date: April 19, 2018
11473 Views2141 Downloads