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Dive into the research topics where Abdullah Al-Badi is active.

Publication


Featured researches published by Abdullah Al-Badi.


Compel-the International Journal for Computation and Mathematics in Electrical and Electronic Engineering | 2005

An artificial neural network model for predicting gas pipeline induced voltage caused by power lines under fault conditions

S. Al-Alawi; Abdullah Al-Badi; K. Ellithy

Purpose – Presents a technique based on the development of an artificial neural network (ANN) model for predicting the electromagnetic inference effects on gas pipelines shared right‐of‐way (ROW) with high voltage transmission lines.Design/methodology/approach – Examines the induced pipeline voltage under different soil resistivity, fault current and separation distance.Findings – The results indicate strong agreement between model prediction and observed values.Originality/value – Demonstrates that the ANN‐based model developed can predict the induced voltage with high accuracy. The accuracy of the predicted induced voltage is very important for designing mitigation systems that will increase overall pipeline integrity and make the pipeline and appurtenances safe for operating personnel.


2009 2nd International Conference on Adaptive Science & Technology (ICAST) | 2009

Economic analysis of hybrid power system for rural electrification in Oman

Abdullah Al-Badi; Hadj Bourdoucen

Hybrid renewable energy systems are becoming attractive for remote areas power generation applications due to advances in renewable energy technologies and increase in the oil price. This paper presents a feasibility study of wind penetration into an existing diesel power plant of an isolated Duqum area in the Sultanate of Oman. Wind data from Al Duqm meteorology station and the actual load data from Duqum have been used in the simulation model. HOMER software has been used to perform the study for the hybrid system with no battery storage. For Wind speed less than 5m/s the existing diesel plant seems to be is the only feasible solution over the range of fuel prices used in the simulation. Moreover, the proposed hybrid system becomes feasible at wind speeds of more than 6 m/s and a diesel cost of 0.368 US


grid and cooperative computing | 2011

Cost of PV electricity in Oman

M. H. Albadi; Abdullah Al-Badi; A.M. Al-Lawati; Arif S. Malik

/L or more, which is the current diesel cost in Duqm.


Electric Power Components and Systems | 2006

Induced Voltages on Pipelines Installed in Corridors of AC Power Lines

Abdullah Al-Badi; Ibrahim A. Metwally

Utilizing solar radiation data of 25 locations in Oman, RETScreen software is used to study the economic prospects of solar energy. A solar PV power plant of 5-MW is considered at each of the 25 locations. The results show that the renewable energy produced each year from the PV power plant varies between 9000 MWh at Marmul to 6200 MWh at Sur while the mean value is 7700 MWh of all the 25 locations. The capacity factor of PV plant varies between 20% and 14% and the cost of electricity varies between 210


grid and cooperative computing | 2013

Measurements and evaluation of harmonics in HV networks — Oman MIS case study

M. H. Albadi; A. S. Al Hinai; Abdullah Al-Badi; M. S. Al Riyami; S. M. Al Hinai; R. S. Al Abri

/MWh and 304


International Journal of Renewable Energy Technology | 2013

Wind resource assessment using numerical weather prediction models and multi-criteria decision making technique: case study (Masirah Island, Oman)

Sultan Al-Yahyai; Yassine Charabi; Abdullah Al-Badi; Adel Gastli

/MWh for the best location to the least attractive location, respectively. The study shows that the PV energy at the best location is competitive with diesel generation without including the externality costs of diesel. Renewable energy support policies that can be implemented in Oman are also discussed.


international conference on industrial technology | 2015

Unbalance in power systems: Case study

M. H. Albadi; A. S. Al Hinai; Abdullah Al-Badi; M. S. Al Riyami; S. M. Al Hinai; R. S. Al Abri

An experimental reduced-scale rig was built to investigate the capacitive and inductive coupling caused by AC power transmission lines near unburied pipelines. A computer model for the experimental rig was created to investigate the different factors that may affect the coupling effect. The basic input data to the model consists of power line and pipeline geometrical configurations, conductor and pipeline physical characteristics including insulation and coating characteristics, and environmental parameters (such as soil characteristics, power source voltage, and equivalent source impedances). The model illustrates the effects of various parameters (length of parallelism, lateral distance, soil resistivity, current magnitude, and voltage magnitude) upon AC electromagnetic interference between transmission lines and nearby pipelines. The results of the computer model were verified experimentally. Good correlation between the experimental and software based simulated results is obtained, which validates the modeling approach of coupling between power transmission line and unburied pipeline.


international symposium on communications control and signal processing | 2014

Performance of a stand-alone renewable energy system based on hydrogen energy storage

Abdullah Al-Badi; Hassan Yousef; Othman AlAamri; Mohammed AlAbdusalam; Younis AlShidi; Nasser AlHarthy

This paper presents a case study about the impacts of industrial loads on power quality. A review of harmonics causes, negative impacts, mitigation techniques, quantification indices and limits are presented. Moreover, harmonics measurements at three grid station that supply the three main industrial areas located in the Main Interconnected System (MIS) of Oman are conducted. Measurement results are compared with limits specified by national and international standards.


Electric Power Components and Systems | 2006

Surge Arrester Performance Under AC Artificial Pollution and Impulse Conditions: A Comparative Investigation

Ibrahim A. Metwally; Adel Gastli; M. M. Ahmed; Abdullah Al-Badi

The Authority for Electricity Regulation in Oman has recently announced the implementation of a 500 kW wind farm pilot project in Masirah Island. Detailed wind resource assessment is then required to identify the most suitable location for this project. This paper presents wind resource assessment using nested ensemble numerical weather prediction (NWP) models approach at 2.8 km resolution and multi-criteria decision making (MCDM) technique. A case study based on the proposed approach is conducted over Masirah Island, Oman. The resource assessment over the island was based on the mean wind speed and wind power distribution over the entire island at different heights. In addition, important criteria such as turbulence intensity and peak hour matching are also considered. The NWP model results were verified against the available 10 m wind data observations from the meteorological station in the northern part of the island. The resource assessment criteria were evaluated using MCDM technique to score the locations over the island based on their suitability for wind energy applications. Two MCDM approaches namely equally weighted and differently weighted criteria were implemented in this paper.


Compel-the International Journal for Computation and Mathematics in Electrical and Electronic Engineering | 2005

Algorithms for automatic torus motor parameters identification: comparative study

Abdullah Al-Badi; Adel Gastli; Joseph A. Jervase

This paper presents a literature review about unbalance in power systems and a case study about unbalance measurements in the Main Interconnected Network (MIS) of Oman. A review of unbalance causes, negative impacts, mitigation techniques, quantification indices and limits are presented. Moreover, voltage and current unbalance measurements at three grid stations that supply the three main industrial areas located in the MIS of Oman are conducted. Measurement results are compared with limits specified by national and international standards.

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Arif S. Malik

Sultan Qaboos University

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M. H. Albadi

Sultan Qaboos University

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A. S. Al Hinai

Sultan Qaboos University

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A.M. Al-Lawati

Sultan Qaboos University

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