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Mr. AzralmukminAzmi Azmi
Universiti Malaysia Perlis

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0 Optimization
0 photovoltaic
0 power system
0 Power electronic
0 economic dispatch

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Optimization
photovoltaic
power system
economic dispatch

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Short Biography

Universiti Malaysia Perlis, Kampus UniMAP Pauh Putra, 02600 Arau, Perlis, Malaysia

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Journal article
Published: 15 March 2021 in Sustainability
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This studyaimed at improving the performance and efficiency of conventional static photovoltaic (PV) systems by introducing a metaheuristic algorithm-based approach that involves reconfiguring electrical wiring using switches under different shading profiles. Themetaheuristicalgorithmused wasthe firefly algorithm (FA), which controls the switching patterns under non-homogenous shading profiles and tracks the highest global peak of power produced by the numerous switching patterns. This study aimed to solve the current problems faced by static PV systems, such as unequal dispersion of shading affecting solar panels, multiple peaks, and hot spot phenomena, which can contribute to significant power loss and efficiency reduction. The experimental setup focusedon software development and the system or model developed in the MATLAB Simulink platform. Athorough and comprehensive analysis was done by comparing the proposed method’s overall performance and power generation with thenovel static PVseries–parallel (SP) topology and totalcross-tied (TCT) scheme. The SP configuration is widely used in the PV industry. However, the TCT configuration has superior performance and energy yield generation compared to other static PV configurations, such as the bridge-linked (BL) and honey comb (HC) configurations. The results presented in this paper provide valuable information about the proposed method’s features with regard toenhancing the overall performance and efficiency of PV arrays.

ACS Style

Mohammad Nazeri; Mohammad Tajuddin; Thanikanti Babu; Azralmukmin Azmi; Maria Malvoni; Nallapaneni Kumar. Firefly Algorithm-Based Photovoltaic Array Reconfiguration for Maximum Power Extraction during Mismatch Conditions. Sustainability 2021, 13, 3206 .

AMA Style

Mohammad Nazeri, Mohammad Tajuddin, Thanikanti Babu, Azralmukmin Azmi, Maria Malvoni, Nallapaneni Kumar. Firefly Algorithm-Based Photovoltaic Array Reconfiguration for Maximum Power Extraction during Mismatch Conditions. Sustainability. 2021; 13 (6):3206.

Chicago/Turabian Style

Mohammad Nazeri; Mohammad Tajuddin; Thanikanti Babu; Azralmukmin Azmi; Maria Malvoni; Nallapaneni Kumar. 2021. "Firefly Algorithm-Based Photovoltaic Array Reconfiguration for Maximum Power Extraction during Mismatch Conditions." Sustainability 13, no. 6: 3206.

Journal article
Published: 19 February 2021 in IEEE Access
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This study proposes a duty cycle-based direct search method that capitalizes on a bioinspired optimization algorithm known as the salp swarm algorithm (SSA). The goal is to improve the tracking capability of the maximum power point (MPP) controller for optimum power extraction from a photovoltaic system under dynamic environmental conditions. The performance of the proposed SSA is tested under a transition between uniform irradiances and a transition between partial shading (PS) conditions with a focus on convergence speed, fast and accurate tracking, reduce high initial exploration oscillation, and low steady-state oscillation at MPP. Simulation results demonstrate the superiority of the proposed SSA algorithm in terms of tracking performance. The performance of the SSA method is better than the conventional (hill-climbing) and among other popular metaheuristic methods. Further validation of the SSA performance is conducted via experimental studies involving a DC-DC buck-boost converter driven by TMS320F28335 DSP on the Texas Instruments Experimenter Kit platform. Hardware results show that the proposed SSA method aligns with the simulation in terms of fast-tracking, convergence speed, and satisfactory accuracy under PS and dynamic conditions. The proposed SSA method tracks maximum power with high efficiency through its superficial structures and concepts, as well as its easy implementation. Moreover, the SSA maintains a steady-state oscillation at a minimum level to improve the overall energy yield. It thus compensates for the shortcomings of other existing methods.

ACS Style

Mohd Nasrul Izzani Jamaludin; Mohammad Faridun Naim Tajuddin; Jubaer Ahmed; Azralmukmin Azmi; Syahrul Ashikin Azmi; Nur Hafizah Ghazali; Thanikanti Sudhakar Babu; Hassan Haes Alhelou. An Effective Salp Swarm Based MPPT for Photovoltaic Systems Under Dynamic and Partial Shading Conditions. IEEE Access 2021, 9, 34570 -34589.

AMA Style

Mohd Nasrul Izzani Jamaludin, Mohammad Faridun Naim Tajuddin, Jubaer Ahmed, Azralmukmin Azmi, Syahrul Ashikin Azmi, Nur Hafizah Ghazali, Thanikanti Sudhakar Babu, Hassan Haes Alhelou. An Effective Salp Swarm Based MPPT for Photovoltaic Systems Under Dynamic and Partial Shading Conditions. IEEE Access. 2021; 9 ():34570-34589.

Chicago/Turabian Style

Mohd Nasrul Izzani Jamaludin; Mohammad Faridun Naim Tajuddin; Jubaer Ahmed; Azralmukmin Azmi; Syahrul Ashikin Azmi; Nur Hafizah Ghazali; Thanikanti Sudhakar Babu; Hassan Haes Alhelou. 2021. "An Effective Salp Swarm Based MPPT for Photovoltaic Systems Under Dynamic and Partial Shading Conditions." IEEE Access 9, no. : 34570-34589.

Journal article
Published: 01 February 2020 in Indonesian Journal of Electrical Engineering and Computer Science
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This research compares the performance of Competitive Over Resources (COR) optimisation method using a different type of constraint handling strategy to solve the economic load dispatch (ELD) problem. Previously, most research focused on proposing various optimisation techniques using the Penalty Factor Strategy (PFS) to search for a better global optimum. The issue using the penalty factor is that it is difficult to find the correct tune of constant value that influences the algorithm to find the solution. The other technique is using Feasible Solution Strategy (FSS), the idea of which is to locate the infeasible particle to the feasible solution and avoid being trapped by the unsuccessful condition of constraint. This paper investigates the performance of PFS and FSS on the COR optimisation method for solving ELD. Both strategies have been tested on two standard test systems to compare the performance in terms of a global solution, robustness and convergence. The simulation shows that FSS is a better solution compared to PFS.

ACS Style

Azralmukmin Azmi; Samila Mat Zali; Mohd Noor Abdullah; Mohammad Faridun Naim Tajuddin; Siti Rafidah Abdul Rahim. The performance of COR optimisation using different constraint handling strategies to solve ELD. Indonesian Journal of Electrical Engineering and Computer Science 2020, 17, 680 -688.

AMA Style

Azralmukmin Azmi, Samila Mat Zali, Mohd Noor Abdullah, Mohammad Faridun Naim Tajuddin, Siti Rafidah Abdul Rahim. The performance of COR optimisation using different constraint handling strategies to solve ELD. Indonesian Journal of Electrical Engineering and Computer Science. 2020; 17 (2):680-688.

Chicago/Turabian Style

Azralmukmin Azmi; Samila Mat Zali; Mohd Noor Abdullah; Mohammad Faridun Naim Tajuddin; Siti Rafidah Abdul Rahim. 2020. "The performance of COR optimisation using different constraint handling strategies to solve ELD." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 2: 680-688.

Journal article
Published: 01 March 2019 in Indonesian Journal of Electrical Engineering and Computer Science
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This paper presents a low-cost PV current-voltage or I-V curve tracer that has the Internet of Things (IoT) capability. Single ended primary inductance converter (SEPIC) is used to develop the I-V tracer, which is able to cope with rapidly changing irradiation conditions. The I-V tracer control software also has the ability to automatically adapt to the varying irradiation conditions. The performance of the I-V curve tracer is evaluated and verified using simulation and experimental tests.

ACS Style

H. B. Chi; M. F. N. Tajuddin; Nur Hafizah Ghazali; Azralmukmin Azmi; M. U. Maaz. Internet of things (IoT) based I-V curve tracer for photovoltaic monitoring systems. Indonesian Journal of Electrical Engineering and Computer Science 2019, 13, 1022 -1030.

AMA Style

H. B. Chi, M. F. N. Tajuddin, Nur Hafizah Ghazali, Azralmukmin Azmi, M. U. Maaz. Internet of things (IoT) based I-V curve tracer for photovoltaic monitoring systems. Indonesian Journal of Electrical Engineering and Computer Science. 2019; 13 (3):1022-1030.

Chicago/Turabian Style

H. B. Chi; M. F. N. Tajuddin; Nur Hafizah Ghazali; Azralmukmin Azmi; M. U. Maaz. 2019. "Internet of things (IoT) based I-V curve tracer for photovoltaic monitoring systems." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3: 1022-1030.

Journal article
Published: 11 February 2019 in Renewable Energy
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Off-grid hybrid energy systems (HESs) have become more cost-effective and reliable than single-source systems for the electrification of rural areas. This paper presents a techno-economic and environmental analysis of different hybrid systems to supply electricity to a typical Iraqi rural village. The HOMER software is utilized for the optimization of the systems using the multi-year module, which has been overlooked in the literature thus far. The analysis shows that the PV/hydro/diesel/battery HES is the most economical option with a net present cost (NPC) of $113201, in addition to having acceptable technical and environmental performance levels. Throughout the project’s 20 year lifetime, PV electricity production is reduced by 9.1% while diesel electricity production, CO2 emissions and served load are increased by 90.8%, 91.7% and 8.8%, respectively. The NPC for the multi-year module shows an increment of 22.5% in comparison with that of the single year module. Furthermore, the sensitivity analysis of some rarely reported parameters, such as water pipe losses, generator minimum load, battery roundtrip efficiency, battery setpoint state of charge, capacity shortage, PV capital cost multiplier and multi-year, demonstrated that variations in these parameters have significant effects on the system power flow and its economic analysis.

ACS Style

Ali Saleh Aziz; Mohammad Faridun Naim Tajuddin; Mohd Rafi Adzman; Azralmukmin Azmi; Makbul A.M. Ramli. Optimization and sensitivity analysis of standalone hybrid energy systems for rural electrification: A case study of Iraq. Renewable Energy 2019, 138, 775 -792.

AMA Style

Ali Saleh Aziz, Mohammad Faridun Naim Tajuddin, Mohd Rafi Adzman, Azralmukmin Azmi, Makbul A.M. Ramli. Optimization and sensitivity analysis of standalone hybrid energy systems for rural electrification: A case study of Iraq. Renewable Energy. 2019; 138 ():775-792.

Chicago/Turabian Style

Ali Saleh Aziz; Mohammad Faridun Naim Tajuddin; Mohd Rafi Adzman; Azralmukmin Azmi; Makbul A.M. Ramli. 2019. "Optimization and sensitivity analysis of standalone hybrid energy systems for rural electrification: A case study of Iraq." Renewable Energy 138, no. : 775-792.

Journal article
Published: 01 September 2018 in International Journal of Power Electronics and Drive Systems (IJPEDS)
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To increase energy yield from an installed photovoltaic (PV) array, particularly during partial shading condition (PSC), a new technique based on reconfigurable PV array interconnection is proposed in this work. The proposed technique works by dynamically changing the interconnection of PV modules to form a new configuration using a switching matrix inside the array. The criteria of good reconfigurable PV array interconnection techniques depend on the efficiency and accuracy of the control algorithm to optimally reconfigure the PV array to maximize the total output power. Hence, this paper proposes a new control algorithm using differential evolution (DE) for photovoltaic array reconfiguration (PVAR). To verify the superiority of the proposed algorithm, DE is compared with the particle swarm optimization (PSO) algorithm. Results confirm that DE performs well in terms of the amount of energy production during PSC. For all the nine shading patterns tested on a 3 × 3 PV array, DE yields 1% to 5% more power than PSO.

ACS Style

M. A. I. A. Tazally; M. F. N. Tajuddin; Azralmukmin Azmi; S. M. Ayob; T. Sutikno. Differential Evolution Based Solar Photovoltaic Array Reconfiguration Algorithm for Optimal Energy Extraction during Partial Shading Condition. International Journal of Power Electronics and Drive Systems (IJPEDS) 2018, 9, 1397 -1405.

AMA Style

M. A. I. A. Tazally, M. F. N. Tajuddin, Azralmukmin Azmi, S. M. Ayob, T. Sutikno. Differential Evolution Based Solar Photovoltaic Array Reconfiguration Algorithm for Optimal Energy Extraction during Partial Shading Condition. International Journal of Power Electronics and Drive Systems (IJPEDS). 2018; 9 (3):1397-1405.

Chicago/Turabian Style

M. A. I. A. Tazally; M. F. N. Tajuddin; Azralmukmin Azmi; S. M. Ayob; T. Sutikno. 2018. "Differential Evolution Based Solar Photovoltaic Array Reconfiguration Algorithm for Optimal Energy Extraction during Partial Shading Condition." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 3: 1397-1405.

Journal article
Published: 13 August 2018 in International Journal of Engineering & Technology
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The cost and emission minimization in power system operation become important issue in power dispatch due to increase of environmental pollution and fossil fuel price. Therefore, combined economic and emission dispatch (CEED) must be considered in generation scheduling in order to provide balanced solution for optimal cost and emissions level of power generation. In this paper, an Artificial Bee Colony (ABC) algorithm with Fuzzy best compromise solution is proposed to determine the optimal cost and emission level by converting the multi-objective (cost and emission) into single objective problem using weighted sum method approach. The best compromise solution among Pareto front solution was determined by fuzzy approach. The effectiveness of ABC algorithm has been validated in terms of the best solution, convergence behaviour and consistency for power system benchmark such as IEEE 30-bus 6-unit system and 10-unit system. The comparison study shows that ABC algorithm capable to obtain a better performance of minimizing the cost and emission level in power generation.

ACS Style

M N. Abdullah; G Y. Sim; A Azmi; S H. Shamsudin. Combined Economic and Emission Dispatch Solution using Artificial Bee Colony Algorithm with Fuzzy Approach. International Journal of Engineering & Technology 2018, 7, 46 .

AMA Style

M N. Abdullah, G Y. Sim, A Azmi, S H. Shamsudin. Combined Economic and Emission Dispatch Solution using Artificial Bee Colony Algorithm with Fuzzy Approach. International Journal of Engineering & Technology. 2018; 7 (3.15):46.

Chicago/Turabian Style

M N. Abdullah; G Y. Sim; A Azmi; S H. Shamsudin. 2018. "Combined Economic and Emission Dispatch Solution using Artificial Bee Colony Algorithm with Fuzzy Approach." International Journal of Engineering & Technology 7, no. 3.15: 46.

Conference paper
Published: 27 June 2018 in Journal of Physics: Conference Series
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This paper is presenting an implement of Internet of Things (IoT) monitoring and environment control for indoor cultivation of oyster mushroom. By using IoT based remote monitoring system not only the labor cost can be reduced with cover a bigger area, but can improve the productivity of the oyster mushroom by control the most suitable environment for mush room to grow. This paper discuss about the oyster mushroom, IoT system in general, the system implementation and results that obtained from the system. In conclusion based on the developed system, authors discussed the advantages and points need to be considered when working on the system.

ACS Style

M F Mohammed; Azralmukmin Azmi; Z Zakaria; M F N Tajuddin; Zainuddin Mat Isa; Syahrul Ashikin Azmi. IoT based monitoring and environment control system for indoor cultivation of oyster mushroom. Journal of Physics: Conference Series 2018, 1019, 012053 .

AMA Style

M F Mohammed, Azralmukmin Azmi, Z Zakaria, M F N Tajuddin, Zainuddin Mat Isa, Syahrul Ashikin Azmi. IoT based monitoring and environment control system for indoor cultivation of oyster mushroom. Journal of Physics: Conference Series. 2018; 1019 (1):012053.

Chicago/Turabian Style

M F Mohammed; Azralmukmin Azmi; Z Zakaria; M F N Tajuddin; Zainuddin Mat Isa; Syahrul Ashikin Azmi. 2018. "IoT based monitoring and environment control system for indoor cultivation of oyster mushroom." Journal of Physics: Conference Series 1019, no. 1: 012053.

Journal article
Published: 01 November 2017 in Advanced Science Letters
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The Economic Load Dispatch (ELD) is considered to minimize the only fuel cost in power system planning and operation. Due to environmental issues, the emission amount released by thermal power generation should be considered in minimizing the total cost generation as well. This make the power dispatch problem become multi-objective problem that called Economic and Emission Load Dispatch (EELD). This paper investigates the performances of Artificial Bee colony (ABC) algorithm for determining optimal solution for EELD problem. In this paper, the EELD problem is formulated as a single objective problem by taking minimization of total cost and emission level as separated objective. The cost characteristic of thermal generator considered the effect of opening and closing of the valve for practical application. The ABC algorithm has been tested on standard test systems which is 10-generating unit test system in order to validate the effectiveness of proposed ABC algorithm. The results obtained have been compared with reported result by other methods in literature. From the result, it found that ABC algorithm is better than other methods for minimizing fuel cost of thermal power generation and obtained comparative results in reducing the emission level.

ACS Style

Mohd Noor Abdullah; Mohd Asyraf Ismail; Azralmukmin Azmi; Nur Hanis Mohammad Radzi; Jasrul Jamani Jamian. Economic and Emission Load Dispatch Solution via Artificial Bee Colony Algorithm. Advanced Science Letters 2017, 23, 11158 -11161.

AMA Style

Mohd Noor Abdullah, Mohd Asyraf Ismail, Azralmukmin Azmi, Nur Hanis Mohammad Radzi, Jasrul Jamani Jamian. Economic and Emission Load Dispatch Solution via Artificial Bee Colony Algorithm. Advanced Science Letters. 2017; 23 (11):11158-11161.

Chicago/Turabian Style

Mohd Noor Abdullah; Mohd Asyraf Ismail; Azralmukmin Azmi; Nur Hanis Mohammad Radzi; Jasrul Jamani Jamian. 2017. "Economic and Emission Load Dispatch Solution via Artificial Bee Colony Algorithm." Advanced Science Letters 23, no. 11: 11158-11161.

Conference paper
Published: 01 February 2017 in 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT)
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To achieve optimal energy extraction from photovoltaic array during partial shading (PS) condition, a maximum power points tracker (MPPT) with good performance is highly demanded. One of the main criteria of a good MPPT is the accuracy to track the maximum output power with minimal time. Therefore, few equations are proposed by the researchers to predict the peak voltage (V lp ) of PV array during PS occurrences. The equations basically claim that it can assist to improve the tracking efficiency and speed by predicting the maximum power point (MPP). But, it never was proved that those equations are valid for all PS patterns that can be occurred. Considering the above fact, this paper focus on analyzing the credibility of two maximum power point prediction methods namely (1) 0.8 Voc method and (2) improved 0.8 Voc method. Test performance is carried with five shading patterns of 5×4 series-parallel (SP) configuration of PV array. Results confirm that the equation is only valid for the shading that has similar irradiance level, for each of the strings inside the PV array.

ACS Style

M. A. I. A. Tazally; M. F. N. Tajuddin; A. Azmi; M. U. Maaz; S. Saravan; P. Sanjeevikumar; S. Thangaprakash. Peak prediction method of maximum power point for series-parallel photovoltaic array under partial shading condition. 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT) 2017, 1 -6.

AMA Style

M. A. I. A. Tazally, M. F. N. Tajuddin, A. Azmi, M. U. Maaz, S. Saravan, P. Sanjeevikumar, S. Thangaprakash. Peak prediction method of maximum power point for series-parallel photovoltaic array under partial shading condition. 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT). 2017; ():1-6.

Chicago/Turabian Style

M. A. I. A. Tazally; M. F. N. Tajuddin; A. Azmi; M. U. Maaz; S. Saravan; P. Sanjeevikumar; S. Thangaprakash. 2017. "Peak prediction method of maximum power point for series-parallel photovoltaic array under partial shading condition." 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT) , no. : 1-6.

Conference paper
Published: 01 December 2013 in 2013 International Conference on Electrical, Electronics and System Engineering (ICEESE)
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This paper presents an impact of power losses on the size and location of Distributed Generation (DG) in distribution system with difference number of population size. The placement and sizing of DG are selected optimally by the technique of optimization. The technique of Artificial Bee Colony (ABC) algorithm is studied to solve this problem. The algorithm is tested on standard IEEE 69 bus distribution system.

ACS Style

Nur Fairuz Mohd Johan; Azralmukmin Azmi; Samila Mat Zali; Mohd Abdur Rashid; Siti Rafidah Abdul Rahim; Shamsul Bahar Yaakob. The effects of population size for DG placement using Artificial Bee Colony algorithm. 2013 International Conference on Electrical, Electronics and System Engineering (ICEESE) 2013, 49 -53.

AMA Style

Nur Fairuz Mohd Johan, Azralmukmin Azmi, Samila Mat Zali, Mohd Abdur Rashid, Siti Rafidah Abdul Rahim, Shamsul Bahar Yaakob. The effects of population size for DG placement using Artificial Bee Colony algorithm. 2013 International Conference on Electrical, Electronics and System Engineering (ICEESE). 2013; ():49-53.

Chicago/Turabian Style

Nur Fairuz Mohd Johan; Azralmukmin Azmi; Samila Mat Zali; Mohd Abdur Rashid; Siti Rafidah Abdul Rahim; Shamsul Bahar Yaakob. 2013. "The effects of population size for DG placement using Artificial Bee Colony algorithm." 2013 International Conference on Electrical, Electronics and System Engineering (ICEESE) , no. : 49-53.

Conference paper
Published: 01 December 2013 in 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation
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Producing the energy power that meets the load demands at a minimum cost while satisfying the constraints is known as economic dispatch. Economic dispatch becomes one of the most complex problems in the planning and operation of a power system that aims to determine the optimal generation scheduling at minimum cost. For that reason many optimization researches on finding an optimal solution regarding the total cost of generation have been carried out. This paper presents the implementation of the extension of the PSO (E-PSO) system in solving the continuous nonlinear function of the cost curves of the generator. In this paper, a 6-unit generation system has been applied to show the effectiveness of the E-PSO compared to the standard PSO. The results show that E-PSO is capable in solving the economic dispatch problem in term of minimizing the total cost of generation while considering the generator limits and transmission losses.

ACS Style

Zetty N. Zakaria; Azralmukmin Azmi; Muhammad S. Laili; Syed A. Syed Jamalil; Mohd Herwan Sulaiman. An Extension of Particle Swarm Optimization (E-PSO) Algorithm for Solving Economic Dispatch Problem. 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation 2013, 157 -161.

AMA Style

Zetty N. Zakaria, Azralmukmin Azmi, Muhammad S. Laili, Syed A. Syed Jamalil, Mohd Herwan Sulaiman. An Extension of Particle Swarm Optimization (E-PSO) Algorithm for Solving Economic Dispatch Problem. 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation. 2013; ():157-161.

Chicago/Turabian Style

Zetty N. Zakaria; Azralmukmin Azmi; Muhammad S. Laili; Syed A. Syed Jamalil; Mohd Herwan Sulaiman. 2013. "An Extension of Particle Swarm Optimization (E-PSO) Algorithm for Solving Economic Dispatch Problem." 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation , no. : 157-161.

Conference paper
Published: 01 November 2013 in 2013 IEEE International Conference on Control System, Computing and Engineering
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This paper presents a multi-objective performance index based on the size and location of distributed generation (DG) in power system with difference preference of weightages. The placement and sizing of DG are selected optimally by technique of optimization. The technique of Artificial Bee Colony (ABC) algorithm has been studied to solve this problem. The algorithm is tested on standard IEEE 69 bus distribution system.

ACS Style

Nur Fairuz Mohd Johan; Azralmukmin Azmi; Mohd Abdur Rashid; Shamshul Bahar Yaakob; Siti Rafidah Abdul Rahim; Samila Mat Zali. Multi-objective using Artificial Bee Colony optimization for distributed generation placement on power system. 2013 IEEE International Conference on Control System, Computing and Engineering 2013, 117 -121.

AMA Style

Nur Fairuz Mohd Johan, Azralmukmin Azmi, Mohd Abdur Rashid, Shamshul Bahar Yaakob, Siti Rafidah Abdul Rahim, Samila Mat Zali. Multi-objective using Artificial Bee Colony optimization for distributed generation placement on power system. 2013 IEEE International Conference on Control System, Computing and Engineering. 2013; ():117-121.

Chicago/Turabian Style

Nur Fairuz Mohd Johan; Azralmukmin Azmi; Mohd Abdur Rashid; Shamshul Bahar Yaakob; Siti Rafidah Abdul Rahim; Samila Mat Zali. 2013. "Multi-objective using Artificial Bee Colony optimization for distributed generation placement on power system." 2013 IEEE International Conference on Control System, Computing and Engineering , no. : 117-121.

Journal article
Published: 01 October 2013 in American Journal of Applied Sciences
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RESEMBLANCE OF RAIN FALL IN BANGLADESH WITH CORRELATION DIMENSION AND NEURAL NETWORK LEARNING

ACS Style

Kabir; Hussain Muhammad Imran Hasan; Mohd Abdur Rashid; Azralmukmin Azmi; Zakir Hossain; Shahjahan. RESEMBLANCE OF RAIN FALL IN BANGLADESH WITH CORRELATION DIMENSION AND NEURAL NETWORK LEARNING. American Journal of Applied Sciences 2013, 10, 1172 -1180.

AMA Style

Kabir, Hussain Muhammad Imran Hasan, Mohd Abdur Rashid, Azralmukmin Azmi, Zakir Hossain, Shahjahan. RESEMBLANCE OF RAIN FALL IN BANGLADESH WITH CORRELATION DIMENSION AND NEURAL NETWORK LEARNING. American Journal of Applied Sciences. 2013; 10 (10):1172-1180.

Chicago/Turabian Style

Kabir; Hussain Muhammad Imran Hasan; Mohd Abdur Rashid; Azralmukmin Azmi; Zakir Hossain; Shahjahan. 2013. "RESEMBLANCE OF RAIN FALL IN BANGLADESH WITH CORRELATION DIMENSION AND NEURAL NETWORK LEARNING." American Journal of Applied Sciences 10, no. 10: 1172-1180.

Conference paper
Published: 01 June 2013 in 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO)
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This paper presents a new Embedded Meta Evolutionary-Firefly Algorithm (EMEFA) for DG installation which considers the effect of population size on loss and cost minimization while improving the performance of the system. The proposed EMEFA technique is to alleviate the setback experienced in the Meta-EP and firefly in terms slow convergence and less accurate. Implementation of the proposed technique in minimizing both the distribution losses and fuel cost separately has indicated promising results, while maintaining the voltage at acceptable levels. Assessment on its performance with respect to other optimization techniques revealed that the proposed technique is superior in terms fast convergence and achieving more accurate solution, validated on a chosen IEEE Reliability Test System.

ACS Style

S. R. A. Rahim; Ismail Musirin; M. M. Othman; Muhamad Hatta Hussain; Mohd Herwan Sulaiman; Azralmukmin Azmi. Effect of population size for DG installation using EMEFA. 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO) 2013, 746 -751.

AMA Style

S. R. A. Rahim, Ismail Musirin, M. M. Othman, Muhamad Hatta Hussain, Mohd Herwan Sulaiman, Azralmukmin Azmi. Effect of population size for DG installation using EMEFA. 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO). 2013; ():746-751.

Chicago/Turabian Style

S. R. A. Rahim; Ismail Musirin; M. M. Othman; Muhamad Hatta Hussain; Mohd Herwan Sulaiman; Azralmukmin Azmi. 2013. "Effect of population size for DG installation using EMEFA." 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO) , no. : 746-751.

Conference paper
Published: 01 June 2012 in 2012 IEEE International Power Engineering and Optimization Conference
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This paper presents an application of Firefly Algorithm (FA) in determining the optimal location and size of Distributed Generation (DG) in distribution power networks. FA is a meta-heuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly's flash is to act as a signal system to attract other fireflies. In this paper, IEEE 69-bus distribution test system is used to show the effectiveness of the FA. Comparison with other method is also given.

ACS Style

Mohd Herwan Sulaiman; M. W. Mustafa; A. Azmi; O. Aliman; S. R. Abdul Rahim. Optimal allocation and sizing of Distributed Generation in distribution system via Firefly Algorithm. 2012 IEEE International Power Engineering and Optimization Conference 2012, 84 -89.

AMA Style

Mohd Herwan Sulaiman, M. W. Mustafa, A. Azmi, O. Aliman, S. R. Abdul Rahim. Optimal allocation and sizing of Distributed Generation in distribution system via Firefly Algorithm. 2012 IEEE International Power Engineering and Optimization Conference. 2012; ():84-89.

Chicago/Turabian Style

Mohd Herwan Sulaiman; M. W. Mustafa; A. Azmi; O. Aliman; S. R. Abdul Rahim. 2012. "Optimal allocation and sizing of Distributed Generation in distribution system via Firefly Algorithm." 2012 IEEE International Power Engineering and Optimization Conference , no. : 84-89.

Conference paper
Published: 01 June 2012 in 2012 IEEE International Power Engineering and Optimization Conference
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Distributed Generation (DG) integrated into distribution networks continued to grow both in number and size. Governments' incentives and obligations for a sustainable energy ensure that DG is going to be an important element in the future distribution systems. To achieve the maximum benefits of DG, factors such as the number and the capacity of the units and the best location have to be considered. This problem is addressed in this study by the development of algorithm to optimize the output of the DG in order to assess the performance from its installation. The optimization technique that will be used is Hybrid Mutation-Evolutionary Programming (HM-EP) and Particle swarm Optimization (PSO). The proposed technique would be able to effectively improve the voltage profile and also reduction in distribution losses. The proposed technique will be tested on IEEE 69-bus Reliability Test Systems and will be developed using the MATLAB programming software.

ACS Style

S. R. A. Rahim; I. Musirin; Mohd Herwan Sulaiman; Muhamad Hatta Hussain; A. Azmi. Assessing the performance of DG in distribution network. 2012 IEEE International Power Engineering and Optimization Conference 2012, 436 -441.

AMA Style

S. R. A. Rahim, I. Musirin, Mohd Herwan Sulaiman, Muhamad Hatta Hussain, A. Azmi. Assessing the performance of DG in distribution network. 2012 IEEE International Power Engineering and Optimization Conference. 2012; ():436-441.

Chicago/Turabian Style

S. R. A. Rahim; I. Musirin; Mohd Herwan Sulaiman; Muhamad Hatta Hussain; A. Azmi. 2012. "Assessing the performance of DG in distribution network." 2012 IEEE International Power Engineering and Optimization Conference , no. : 436-441.

Conference paper
Published: 01 June 2011 in 2011 5th International Power Engineering and Optimization Conference
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This paper presents the design and development of an impulse current generator that can produce impulse current waveform of 8/20 μs. The testing of lightning protection device such as surge arrester is very important to determine this device can be operates in normal condition. Hence, the impulse current generator is developed to carry out the testing because it is clearly not possible to use the actual lightning for the purpose of testing. The first part of this work deals with the calculation of circuit components value followed by the computer simulation to obtain the accurate results. A small scale experimental was set up based on natural characteristics of lightning to study the performance and capability of the designed impulse current generator. This generator is suitable for testing arresters blocks with voltage and current ratings at up 100 kV and 4 kA respectively.

ACS Style

N. H. Halim; Azralmukmin Azmi; Y. Yahya; F. Abdullah; M. Othman; M. S. Laili. Development of a small scale standard lightning impulse current generator. 2011 5th International Power Engineering and Optimization Conference 2011, 426 -431.

AMA Style

N. H. Halim, Azralmukmin Azmi, Y. Yahya, F. Abdullah, M. Othman, M. S. Laili. Development of a small scale standard lightning impulse current generator. 2011 5th International Power Engineering and Optimization Conference. 2011; ():426-431.

Chicago/Turabian Style

N. H. Halim; Azralmukmin Azmi; Y. Yahya; F. Abdullah; M. Othman; M. S. Laili. 2011. "Development of a small scale standard lightning impulse current generator." 2011 5th International Power Engineering and Optimization Conference , no. : 426-431.

Publication
Published: 31 August 2021
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ACS Style

A N Alekhateeb; M A Rashid; F Malek; M A Humayun; Azralmukmin Azmi. Improvement of Absorption Characteristics of Solar Cell above Room Temperature Using Quantum Dot. 2021, 1 .

AMA Style

A N Alekhateeb, M A Rashid, F Malek, M A Humayun, Azralmukmin Azmi. Improvement of Absorption Characteristics of Solar Cell above Room Temperature Using Quantum Dot. . 2021; ():1.

Chicago/Turabian Style

A N Alekhateeb; M A Rashid; F Malek; M A Humayun; Azralmukmin Azmi. 2021. "Improvement of Absorption Characteristics of Solar Cell above Room Temperature Using Quantum Dot." , no. : 1.