Advances in Electrical and Telecommunication Engineering (AETE) ISSN: 2636-7416

Losses Optimization of Induction Motor using Particle Swam Optimization Technique

2020-04-01T11:58:23+00:00

This work is aimed at using Particle Swam Optimization to minimize the losses in an induction motor in order to improve the efficiency. The optimal design of an induction motor for minimum copper loss is taken to minimise the loss of the motor. This was carried out using the power loss equation as the objective function and coding in m-file which is simulated alongside the PSO program in Matlab in order to achieve the best values of the parameter choosen and thereby having a minimized loss. The result of the simulation shows an improvement in the machine's efficiency from to 4.23%. Hence indicating that with the modifications of the choosen parameters, the efficiency of the induction motor can be improved. However, although the PSO is a faster convergence optimization technique, other techniques can be used to make a comparison of the efficiency value.

Grey System Theory: A Categorical Imperative to Predicting Nigerian’s Population Birth Number

2021-04-14T04:49:33+00:00

The trend of having few children in families has become imperative in Nigeria, which will tend to moderate the total school enrolment across all levels in the future but may tend to stabilize the existing trend of enrolment due to quest for western education as against the usual practice. This will create adjustment in learning capacity accordingly so as to receive the best enrolment result. The paper utilizes the “Grey System theory” as a forecasting principle and process to estimate the number of births in Nigeria in 2017, thereby verifying the gap between anticipated results and real data. The Grey system theory application involves, the grey generation, followed by grey modeling to generate predictive models. The results showed that the estimated Nigeria’s population birth number exceeds 200,000 people in the year 2017. Nevertheless, a slight variation of the projected results from the real birth data, suggests a trend of decline in Nigeria’s population birth number in the future years.

Microwave Link Design Between Two Business Locations: Case Study of Irrua Specialist Teaching Hospital and Ambrose Alli University Main Campus, Ekpoma

2021-12-16T20:31:18+00:00

This paper presents the design of microwave link between two business locations. The objective was to analyze a point-to-point microwave link between Irrua Specialist Teaching Hospital and Ambrose Alli University. The Saf-Path Calculator was used in this study, the design is limited to the Saf-Path Calculator for antenna feed design. The path round walk was conducted to verify the line-of-sight clearance, reflective potential surfaces; such as flat terrain, and water bodies and manmade obstructions. The planning of the link took into account cost, equipment availability frequency planning; link budget, rain fading, fade margins, outages and availability calculations. Differences were observed in the fade margin at antenna height (40, 50, 60, 70, and 75 m). Between 40 and 50 m, the signal quality is the same and the fade margin is different. Antenna heights 40 and 60 m have similar fade margin and different signal quality while that of 50 and 70 m have different fade margin and signal quality and antenna height 70 and 75 m have different signal quality and different fade margin.

Development of an Energy Detection Algorithm for Signal Identification in a Security System

2021-12-27T11:44:57+00:00

The performance of the energy detector is heavily dependent on the estimate of the noise floor, as an inaccurate estimate will degrade the performance of the detector. The overall aim of this paper is the development of an energy detection algorithm for an estimated noise power in a security system to identify a signal. Before the design of the energy detector, a spectrum sweep was conducted in MATLAB environment to observe the available channels in order to test the accuracy of the design. The noise power is estimated based on the observation of the received signal in the noise. The designed energy detection algorithm in a MATLAB, when noise power is estimated, was able to filter the noise in the signal by approximation at -40.53dB.

Evaluation of Aggregate Technical, Commercial and Collection Losses in 11kV Power Distribution Network

2021-12-24T15:42:20+00:00

The aim of this study is to evaluate the Aggregate Technical, Commercial and Collection (ATC&C) losses in 11kV power distribution network in order to assist the power distribution companies (Discos) to operate efficiently in the Nigerian Electricity Supply Industry (NESI). Monthly and yearly data were obtained based on recording, reading of energy meter and energy consumption (kVA, kWh) from 11kV line at Okpana sub-station in Asaba, Delta State, using Itron ACE pilot version 6.3.0 software to obtained relevant data from Okpana 11 kV feeder and EDMI EziView RAJ 4.40. The data obtained from ATC&C losses are energy delivered, energy received, energy and amount billed and amount or cash collection etc. The billing efficiency, collection efficiency and market efficiency were used to evaluate the power losses parameters from the 11kV power distribution network, resulting to determine the billing efficiency, collection efficiency, and market efficiency. It was observed that bill efficiency value is exponential distributed in nature; this was due to variation in energy delivering to customers. The revenue collection efficiency value has a correlation with ATC&C based on technical losses present in power distribution network. The energy losses resulting to loss in revenue can be reduced by deployment of silver conductor cable for power distribution network.

Size Optimization of a hybrid PV/Fuel Cell Grid-Connected Power System Integrating Hydrogen Storage

2024-06-10T22:12:02+00:00

This paper describes the size optimization of a hybrid photovoltaic/fuel cell grid-linked power system integrating hydrogen storage. The overall objective was the optimal sizing of a hybrid power system to satisfy the load demand of a university laboratory with an unreliable grid, low energy cost, and minimal carbon emissions. The aim is to shift from a grid-linked diesel power system to a clean and sustainable energy system. The optimum design architecture was established by adopting the energy-balance methods of HOMER (hybrid optimization model for electric renewables). Analysis of hourly simulations was performed to decide the optimal size, cost, and performance of the hybrid system, using 22-year monthly averaged solar radiation data collected for Ambrose Alli University, Ekpoma (Lat. 6˚44.3ʹN, Long. 6˚4.8ʹE). The results showed that a hybrid system comprising a 54.7kW photovoltaic array, 7kW fuel cell system, 14kW power inverter, and 3kW electrolyzer with 8kg hydrogen storage tank, can sustainably augment the erratic grid with a very high renewable fraction of 96.7% at $0.0418/kWh. Compared with the conventional usage of grid/diesel generator systems; energy cost savings of more than 88% and a return on investment of 41.3% with a present worth of $308,965 can be derived in less than 3 years. The optimally sized hybrid system would possibly help mitigate the rural-to-urban drift and resolve the electricity problems hindering the economic growth in Nigeria. Moreover, the hybrid system can alleviate CO₂ emissions from other power generation sources to make the environment cleaner and more eco-friendly.