Ayman Agha

Ayman Agha
Amman Arab University, Jordan, Amman · Renewable Enginering Department

PhD - Electrical Power Engineering

About

13
Publications
5,512
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33
Citations
Introduction
Ayman Agha, Ph.D., Electrical, Certified Consultant in Electrical Power Engineering and Projects (PQAC) interests include and are not limited to, power systems, power system efficiency, nonlinear systems, optimization theory, power system stability, electrical losses, and reactive power compensation.

Publications

Publications (13)
Article
Full-text available
This paper presents a practical approach to calculate the total owning cost (TOC) of a three-phase Induction Motor, which is based on the motor’s nameplate data and the purchasing price. The economic evaluation is performed considering both the induction motor electrical energy losses and its amortized annual capital cost. The proposed technique co...
Article
Full-text available
This paper presents an approach to achieve the Economic Loading of Distribution Transformer (ELDT) based on minimizing the active energy loss. The effects of the transformer on-load and no-load losses, load factor (LF), and load loss factor (LSF) on the total energy losses are considered. The adopted technique in this paper consists of two phases,...
Article
Full-text available
Background: Low power factor is regarded as one of the most dedicated issues in large scale inductive power networks, because of the lost energy in term of a reactive power. Accordingly, installing capacitors in the network improves the power factor and hence decreases the reactive power. Methods and Objectives: This paper presents an approach to...
Article
Full-text available
This paper presents an approach to determine the total owning cost (TOC) of transformers. Different assumptions are introduced by discounting the transformer cost and/or the losses cost, using either A and B loss coefficients or the idea of annuity factor. Moreover, the paper presents a comparative study between different cases under different pres...
Article
System dynamics have been used in different fields of business, administrative and for the planning of different sectors in the electric power industry. In the last decade, the number of new suppliers/ consumers entered into the electric power system are rapidly increasing, they are respectively the renewable energy and electric cars. This necessit...
Article
Full-text available
This paper presents a new approach for the estimation of the load loss factor. This factor is essential to calculate the electrical energy losses in electrical power distribution networks. The represented approach can estimate the load loss factor, especially for those distribution lines which their load profile has tedious to repetition and routin...
Research
Full-text available
System dynamics have been used for the planning of different sectors in the electric power industry. In the last decade, the number of new suppliers/ consumers entered into the electric power system is rapidly increasing; they are respectively the renewable energy and electric cars. This necessitates a mechanism to estimate the demand for electrici...
Article
Full-text available
Abstract— This paper presents a method based on Lagrange multipliers for capacitor banks allocation at industrial plant networks. The aim of compensation is to avoid penalties in (JD/$) enforced on electricity bills due to low power factor, and to minimize the power losses at the plant’s network. Capacitor banks will be allocated at the main board...
Article
Full-text available
The economic benefit from the electric power system is obtained when all generations, transmissions, distributions and the end users are operating at their high efficiency. The higher efficiency tends to lower electrical energy losses. This paper concentrates on the electrical energy of the electrical system (ES), both the T) and the commercial C)...
Conference Paper
The economic benefit from the electric power system is obtained when all generations, transmissions, distributions and the end users are operating at their high efficiency. The higher efficiency tends to lower electrical energy losses. This paper concentrates on the electrical energy losses (ΔE) of the electrical system (ES), both the technical los...
Article
A method based on a statistical approach is presented in this paper. The regression analysis is used to evaluate, predict, and for the planning of the electrical energy data. Two regression models are used, linier and logarithmic. While both of them are suitable for electrical energy data, they are not acceptable for the analysis of the energy loss...

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