Mohammad Faridun Naim Tajuddin
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Preferred name
Mohammad Faridun Naim Tajuddin
Official Name
Mohammad Faridun Naim , Tajuddin
Alternative Name
Tajuddin, Mohd Faridun Naim
Tajuddin, Mohd
Tajuddin, Mohammad Faridun Naim
Tajuddin, M. F.N.
Main Affiliation
Scopus Author ID
35590716200
Researcher ID
GSD-2139-2022

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Two-terminal fault detection and location for hybrid transmission circuit

2021-08-01 , Muhd Hafizi Idris , Mohd Rafi Adzman , Mokhlis H. , Mohammad Faridun Naim Tajuddin , Haziah Abdul Hamid , Melaty Amirruddin

This paper presents the algorithms developed to detect and locate the faults at a hybrid circuit. First, the fault detection algorithm was developed using the comparison of total positive-sequence fault current between pre-fault and fault times to detect the occurrence of a fault. Then, the voltage check method was used to decide whether the fault occurred at overhead line (OHL) or cable section. Finally, the fault location algorithm using the impedance-based method and negative-sequence measurements from both terminals of the circuit were used to estimate the fault point from local terminal. From the tests of various fault conditions including different fault types, fault resistance and fault locations, the proposed method successfully detected all fault cases at around 1 cycle from fault initiation and with correct faulted section identification. Besides that, the fault location algorithm also has very accurate results of fault estimation with average error less than 1 km and 1%.

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Enhanced two-terminal impedance-based fault location using sequence values

2023-04-01 , Muhd Hafizi Idris , Mohd Rafi Adzman , Mokhlis H. , Awalin L.J. , Mohammad Faridun Naim Tajuddin

Fault at transmission line system may lead to major impacts such as power quality problems and cascading failure in the grid system. Thus, it is very important to locate it fast so that suitable solution can be taken to ensure power system stability can be retained. The complexity of the transmission line however makes the fault point identification a challenging task. This paper proposes an enhanced fault detection and location method using positive and negative-sequence values of current and voltage, taken at both local and remote terminals. The fault detection is based on comparison between the total fault current with currents combination during the pre-fault time. While the fault location algorithm was developed using an impedance-based method and the estimated fault location was taken at two cycles after fault detection. Various fault types, fault resistances and fault locations have been tested in order to verify the performance of the proposed method. The developed algorithms have successfully detected all faults within high accuracy. Based on the obtained results, the estimated fault locations are not affected by fault resistance and line charging current. Furthermore, the proposed method able to detect fault location without the needs to know the fault type.

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A new optimization strategy for wind/diesel/battery hybrid energy system

2022-01-15 , Aziz A.S. , Mohammad Faridun Naim Tajuddin , Hussain M.K. , Mohd Rafi Adzman , Nur Hafizah Ghazali , Ramli M.A.M. , Khalil Zidane T.E.

HOMER software is a powerful tool for modeling and optimization of hybrid energy system (HES). The main two default control strategies in HOMER are load following (LF) and cycle charging (CC) strategies. In these strategies, the decision to use the generator or battery at each time step is made based on the lowest-cost choice. Therefore, these strategies are difficult to be implemented in practice especially in countries with continuous fuel price fluctuations. In this study, a new dispatch strategy based on HOMER-MATLAB Link Controller for an isolated wind/diesel/battery HES is proposed to overcome the limitations of the default HOMER strategies. A detailed technical, economic, and greenhouse gas emission analysis is presented for the system under LF, CC, and the proposed dispatch strategies. Besides offering more realistic optimization, the results show that the proposed strategy offers the best economic and environmental performance with a net present cost of $56473 and annual CO2 emissions of 6838 kg. Furthermore, the sensitivity analysis reveals that the proposed strategy is not affected by the fuel price variation, in opposite to LF, and CC strategies which is affected dramatically by this variation. The findings are of paramount importance towards more realistic and efficient energy management strategies.

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Impacts of albedo and atmospheric conditions on the efficiency of solar energy: a case study in temperate climate of Choman, Iraq

2021-01-01 , Aziz A.S. , Mohammad Faridun Naim Tajuddin , Mohd Rafi Adzman , Ramli M.A.M.

Temperature and solar radiation have large effects on the performance of photovoltaic (PV) systems. PV cell temperature is related to the ambient temperature, while the solar radiation incident on PV surface depends on the slope and azimuth of the PV panels. Furthermore, ground reflectance (albedo) affects the solar radiation incident on the PV surface and hence influences its performance. Nevertheless, the impact of some important factors on the PV performance such as the ground reflectance at different tilt angles and temperature coefficient of power under Middle East (temperate) climatic conditions are scarcely reported. In this research paper, a techno-economic analysis has been done to investigate the impact of temperature, tilt and azimuth angles, and ground reflectance on the performance of solar energy system. HOMER software was used as a tool in this study where Choman, Iraq, was selected as a case study. The results indicate that with a base case (temperature coefficient of − 0.48%/ °C, albedo of 20% and ambient temperature of 11 °C), facing the PV to south with a tilt angle of 40° or 45° results in the most economical system by having net present cost of $70595 and cost of energy of $0.54/kWh. Furthermore, PV modules with high sensitivity to temperature are found to be an attractive option based on Choman ambient temperature. Meanwhile, increasing the ground reflectance from 10 to 90% results in an increase of the annual optimum tilt angle from 38° to 52° and a decrease of the PV required capacity from 20.8 to 19.4 kW (for temperature coefficient of − 0.48%/ °C). The results prove that the studied parameters must be treated well to establish an enabling environment for PV development in Iraq.

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Optimal design of photovoltaic power plant using hybrid optimisation: A case of South Algeria

2020-06-01 , Zidane Tekai Eddine Khalil , Mohd Rafi Adzman , Mohammad Faridun Naim Tajuddin , Samila Mat Zali , Durusu, Ali , Mekhilef, Saad

Considering the recent drop (up to 86%) in photovoltaic (PV) module prices from 2010 to 2017, many countries have shown interest in investing in PV plants to meet their energy demand. In this study, a detailed design methodology is presented to achieve high benefits with low installation, maintenance and operation costs of PV plants. This procedure includes in detail the semi-hourly average time meteorological data from the location to maximise the accuracy and detailed characteristics of different PV modules and inverters. The minimum levelised cost of energy (LCOE) and maximum annual energy are the objective functions in this proposed procedure, whereas the design variables are the number of series and parallel PV modules, the number of PV module lines per row, tilt angle and orientation, inter-row space, PV module type, and inverter structure. The design problem was solved using a recent hybrid algorithm, namely, the grey wolf optimiser-sine cosine algorithm. The high performance for LCOE-based design optimisation in economic terms with lower installation, maintenance and operation costs than that resulting from the use of maximum annual energy objective function by 12%. Moreover, sensitivity analysis showed that the PV plant performance can be improved by decreasing the PV module annual reduction coefficient.

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PV array and inverter optimum sizing for grid-connected photovoltaic power plants using optimization design

2021-06-11 , Zidane Tekai Eddine Khalil , Samila Mat Zali , Mohd Rafi Adzman , Mohammad Faridun Naim Tajuddin , Durusu A.

This paper aims to select the optimum inverter size for large-scale PV power plants grid-connected based on the optimum combination between PV array and inverter, among several possible combinations. Inverters used in this proposed methodology have high-efficiency conversion in the range of 98.5% which is largely used in real large-scale PV power plants to increase the financial benefits by injecting maximum energy into the grid. To investigate the PV array-inverter sizing ratio, many PV power plants rated power are considered. The proposed method is based on the modelling of several parts of the PV power plant taking into account many design variables and constraints. The objective function is the levelized cost of energy (LCOE) and the optimization is performed by a multi-verse algorithm. The optimization method results in an optimum inverter size that depends on the PV plant rated capacity by providing an optimum number of inverters required in the installation site. The optimum sizing ratio (Rs) between PV array and inverter were found equal to 0.928, 0.904, and 0.871 for 1 MW, 1.5 MW, and more than 2 MW, respectively, whereas the total power losses reached 8% of the total energy generation during the PV power plant operational lifetime.

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Feasibility analysis of grid-connected and islanded operation of a solar PV microgrid system: A case study of Iraq

2020-01-15 , Aziz A.S. , Mohammad Faridun Naim Tajuddin , Mohd Rafi Adzman , Mohd Fayzul Mohammed , Ramli M.A.M.

Iraq has massive potential for electricity generation from solar energy. Because the country currently suffers from daily electricity shortages, a grid-connected PV system is an unsuitable option since the PV cannot serve the load during the electricity blackouts. This paper aims to analyze the techno-economic and environmental feasibility of a solar PV microgrid system which is able to supply the load during both grid availability and outage periods. A household in Baghdad was selected as a case study. HOMER software was used to carry out the overall analysis using five different control strategies. The results indicated that the most economical configuration was achieved by allowing the grid to charge the batteries at all rates, with a net present cost (NPC) of $29,713. A sustainability assessment revealed that preventing the grid from charging the battery resulted in the highest renewable fraction and the lowest CO2 emissions with 64.9% and 4533 kg/year, respectively. Furthermore, inserting a diesel generator to an economically optimized system was found to reduce the NPC by 11.6%, while increasing the CO2 emissions by 32.7%. This study showed that implementing this sort of project can provide clean, economical, and continuous electricity production in countries with daily blackouts.

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Identifiability Evaluation of Crucial Parameters for Grid Connected Photovoltaic Power Plants Design Optimization

2021-01-01 , Tekai Eddine Khalil Zidane , Mohd Rafi Adzman , Mohammad Faridun Naim Tajuddin , Samila Mat Zali , Ali Durusu , Saad Mekhilef , Chun-Lien Su , Yacine Terriche , Joseph M. Guerrero

This paper aims to assess the impact of different key factors on the optimized design and performance of grid connected photovoltaic (PV) power plants, as such key factors can lead to re-design the PV plant and affect its optimum performance. The impact on the optimized design and performance of the PV plant is achieved by considering each factor individually. A comprehensive analysis is conducted on nine factors such as; three objectives are predefined, five recent optimization approaches, three different locations around the world, changes in solar irradiance, ambient temperature, and wind speed levels, variation in the available area, PV module type and inverters size. The performance of the PV plant is evaluated for each factor based on five performance parameters such as; energy yield, sizing ratio, performance ratio, ground cover ratio, and energy losses. The results show that the geographic location, a change in meteorological conditions levels, and an increase or decrease in the available area require the re-design of the PV plant. A change in inverter size and PV module type has a significant impact on the configuration of the PV plant leading to an increase in the cost of energy. The predefined objectives and proposed optimization methods can affect the PV plant design by producing completely different structures. Furthermore, most PV plant performance parameters are significantly changed due to the variation of these factors. The results also show the environmental benefit of the PV plant and the great potential to avoid green-house gas emissions from the atmosphere.

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