International Journal of Electrical Engineering and Applied Sciences (IJEEAS)

Photovoltaic systems’ technical and vocational training gaps in Palestine

Tamer Khatib, H. A. Von Maltzahn, Enas Sawi, Ahmad alothman — Wed, 30 Apr 2025 00:00:00 +0000

This study presents a mapping of technical and vocational education and training (TVET) for photovoltaic (PV) systems in the West Bank, Palestine. A comprehensive analysis of PV system TVET courses as well as the PV system market in Palestine is done in this research. This analysis covers the content of PV TVET courses, the ability of courses’ trainers, training tools and labs, required skills as well as the competencies of TVET graduates. Results show that there is a reluctance to hire technicians from Palestinian PV system companies, the number of PV technicians inside PV sites is not enough according to the standards and requirements and PV technicians do not have the required practical experience. Results also show that the topics of energy storage, power electronics in PV systems, PV system operation and maintenance, PV system project management, Hybrid PV systems, and water pumping systems are required and are not adequately delivered by current TVET programs in Palestine

Design Implementation & Optimization Of A Motorized Maximum Power Point Tracking System

Golden Enobakhare, USIJU MALLUM BURA — Tue, 06 May 2025 00:00:00 +0000

One of the most important renewable energy sources is solar power. and its emergence has revolutionized how we retrieve, store, distribute, and consume electrical power. However, tracking mechanisms have not been entirely effective in the past towards maximizing energy storage from solar energy. This project seeks to design, implement, and optimize a Motorized Maximum Power Point Tracking (MPPT) solar system to improve the efficiency of renewable energy generation. The project involved using a smart algorithm to drive a solar panel connected to light dependent resistors (LDRs) linked to a suitable power source. An Arduino microcontroller and other components were added to the MPPT system to guide its movements towards the sun’s most intense ray region. A static solar panel was also designed to perform comparison of solar harvest between stationery and movable panels For 10 days each across sunny, partially cloudy, and cloudy weather, both systems were deployed to observe which solar panel would receive and generate more energy overall. The comparisons showed that the motorized MPPT system was more efficient in retrieving energy, with its setup getting as much as 16% more power across conditions deployed in different weather settings. The MPPT system’s superior energy-capturing ability makes it a suitable option for implementation. Results obtained showed that the MPPT solar tracker is a financially feasible option in the long term and should be scaled to meet commercial needs for sustainable energy options.

Intelligent Control Rod Selection Algorithm for Core Power Control at TRIGA PUSPATI Reactor Using Fuzzy Logic Technique

Azura Che Soh — Wed, 30 Apr 2025 00:00:00 +0000

The TRIGA PUSPATI Reactor (RTP) serves as Malaysia's primary research reactor, supporting a range of nuclear applications. A critical element in its operation is the control rod selection algorithm (CRSA), which regulates reactor power and ensures stability. The conventional CRSA (cCRSA), however, faces challenges in managing transient operations and achieving precise steady-state control due to fluctuations in control rod worth. To address these issues, a new fuzzy logic-based control rod selection algorithm (Fuzzy-CRSA) has been developed and validated through MATLAB simulations. This Fuzzy-CRSA approach provides a more flexible and resilient method for controlling the reactor’s four types of rods. By optimizing rod selection and movement, Fuzzy-CRSA achieves faster response times and greater stability compared to the cCRSA, with improvements in rise time from 0.57% to 27.67% and in settling time from 3.14% to 25.88%. These results highlight Fuzzy-CRSA’s capability to more effectively meet the RTP’s power requirements, enhancing reactor performance and supporting Malaysia’s nuclear research progress.

Implementation of a Decoupled Model Reference Adaptive Control (MRAC) of a Flotation Process

Moegamat Tashreeq Samodien — Tue, 06 May 2025 00:00:00 +0000

The approach of applying the Massachusetts Institute of Technology, MIT rule as a decoupled Model Reference Adaptive Controller for a column flotation process is taken up in this article. The airflow rate and wash water flow rate can be adequately regulated with this control scheme. The air holdup and froth depth in the collection zone are used to determine the process performance. Furthermore, a Beckhoff PLC is utilized to evaluate the decoupled MRAC controller. Determining the performance requirements for the implemented controller based on the design simulations is the aim of this evaluation. Unlike the simulated results, the implemented MRAC controller exhibits stability depending on the magnitude of the set point change. This is evident in both the gas holdup and froth height responses. This study indicates the ability of the MRAC controller to be improved by tailoring the reference model accordingly. Improvements such as Overshoot, Peak, and Rise Time can be seen when comparing the response characteristics of Tables II and IV. However, there is not much improvement when it comes to the system’s Settling time.

Renewable Energy Based Hybrid Power System Design For Hilly Area in Bangladesh

Sabab Zaman — Wed, 30 Apr 2025 00:00:00 +0000

Access to minimal expense energy has become crucial for the working of
contemporary economies. Dangers to worldwide energy security exemplify political flimsiness of
energy producing nations, control of energy gives, and rivalry over energy sources, assaults on
give framework, moreover mishaps and cataclysmic events. The safety of electrical power might
be a significant factor in the progression of agricultural nations like Bangladesh. With the event
of demand electricity will increase. The work of petroleum derivatives in creating energy isn't
exclusively diminishing these attached assets at high speed anyway, but it conjointly affects the
climate. During this situation, taking advantage of environmentally friendly power to plan
crossover power frameworks is both expense upgrading and climate amicable. In this paper, we
conduct a viability analysis to explore the potentiality of green energy to the hilly areas like
Bandarban, Khagrachari, Rangamati in Bangladesh. For our research we choose Bandarban.
During this paper, an endeavor is taken to design a system with a lower levelized cost of energy
(LCOE) with a higher renewable fraction. For our system the levelized cost of energy (LCOE) is
$0.126 with net present cost is $259,976. By using HOMER software, an optimum configuration
is established from this hybrid power system. This paper may be an ideal example for an effective
power solution for hilly areas in Bangladesh.

Cost Optimization Model for a Grid-Connected Offshore Wind and Tidal Power Generation System Using Homer: A Case Study in Buffels Bay South Africa

Ladislas Kangaji, Raji Atanda, Efe Orumwense — Tue, 06 May 2025 00:00:00 +0000

This study presents a cost optimization model for a grid-connected offshore wind and tidal power generation system, using Buffels Bay, South Africa, as a case study. The research utilizes the Hybrid Optimization Model for Electrical Renewable (HOMER) software to design and analyze a hybrid power system that integrates wind turbines, tidal energy, and battery storage with the local grid. Various system configurations were simulated to identify the most cost-effective solution, targeting the lowest Levelized Cost of Energy (LCOE) for a proposed 20 MW load. The optimized model combines tidal and wind power, contributing 62% and 20% of the total energy, respectively, demonstrating significant potential for renewable energy integration. The findings highlight the benefits of using a hybrid system to enhance reliability and reduce energy costs. Despite the low cost of coal-generated electricity in South Africa, the study shows that offshore wind and tidal energy can provide a sustainable and economically viable alternative, contributing significantly to the region's energy mix. This work offers valuable insights for future renewable energy projects in coastal regions with similar environmental and economic conditions

An Analysis of the Unbalanced Three Phase Fault in the Transmission Line

Tue, 06 May 2025 00:00:00 +0000

In this paper, unbalanced three-phase fault in transmission lines is considered with respect to estimating the state of power system after a fault occurs at different buses. Faults such as a single line to ground (SLG), line to line (LL) and double line to ground (DLG) affect the bus system that is connected along with the transmission line. MATLAB software was employed in which unbalanced fault programs based on the Symmetrical Component method to determine the voltage magnitudes and line current magnitude at Phase A, Phase B and also on phase C for the different bus lines. The unbalanced fault programs are executed for the standard IEEE 14, IEEE 26 and IEEE 30 bus systems to describe in details the effect of different faults at bus systems in terms of voltage and current magnitude. A Newton Raphson-based power flow program was used as well to determine real and reactive power for the different bus lines. The obtained results show that the single line to ground fault is the most severe kind for IEEE 14 bus system, while for IEEE 26 and IEEE 30 bus system, the most severe fault is line to line fault.

Enhancing Energy Efficiency in Power Systems: Particle Swarm Optimization for Minimizing Power Losses in the IEEE 14-Bus System

Awais Khan, Sajjad, yanwang — Wed, 30 Apr 2025 00:00:00 +0000

The Particle Swarm Optimization (PSO) algorithm, renowned for its expeditious attainment of optimal solutions, demonstrates exceptional efficacy when utilized in the context of the IEEE 14-bus system. Importantly, the algorithm's remarkable effectiveness in the reduction of power losses is clearly evidenced by its rapid convergence within a restricted number of iterations. This serves to underscore its capacity to significantly augment energy efficiency within power systems. The findings accentuate PSO's invaluable status as a versatile optimization tool with multifaceted applications, even in the intricate scenarios encountered within power systems. The ability of PSO to adeptly navigate complex problem spaces situates it as a potent instrument for addressing challenges pertaining to energy loss, thereby showcasing its adaptability and usefulness across a diverse range of contexts within the domain of power system optimization. The demonstrated triumph of PSO within the IEEE 14-bus system underscores its importance as a pragmatic and efficient solution for optimizing power system performance and minimizing energy dissipation.