M. N. Abdullah
Universiti Tun Hussein Onn Malaysia

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Journal : Indonesian Journal of Electrical Engineering and Computer Science

Combined economic-emission load dispatch solution using firefly algorithm and fuzzy approach M. N. Abdullah; N. A. Abdullah; N. F. Aswan; S. A. Jumaat; N. H. Radzi; Ahmad Fateh Mohamad Nor
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp127-135

Abstract

This paper proposes Firefly Algorithm (FA) with fuzzy approach for solving combined economic-emission load dispatch (CEELD) problem in power generation. The main objective of the CEELD problem is to determine the optimal cost and emission level of power generation and fulfill the load demand and operational constraints. The CEELD problem used weighted sum method to combine two objective functions (cost and emission) into single objective. Then, the Fuzzy-based mechanism approach is integrated in FA to find the best compromise solution for both conflicting cost and emission level. The FA has been tested on IEEE 118-bus 14-unit test system for minimization both cost of power generation and emission level. The performance of FA for solving CEELD problem has been investigated in terms of optimal solution, convergence characteristics and Pareto front solution. From the comparison of the CEELD solutions, it found that FA can provide significant cost and emission reduction compared to other methods. Thus, it can be used as alternative approach for solving any optimization problems.
Voltage & Current Magnitude Pattern Recognization by Using Fuzzy Logic Toolbox for Fault Types Classification Lilik J. Awalin; Fatini Fatini; M. N. Abdullah; L.T. Tay; M. Fairuz Ab. Hamid; Bazilah Ismail
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i1.pp326-332

Abstract

This research introduces the appropriate input pattern of Fuzzy Logic design for fault type classification of Single Line to Ground Fault at distribution network. The proposed design is solely using Fuzzy Logic as the research technique with input data from PSCAD simulation. PSCAD software simulate the circuit configuration for fault disturbance at the distribution network. The research technique was applied with multiples input values of voltage and current that extracted from the PSCAD simulation. This research testifies the output result by using different fault resistance values; 0.01Ω, 10Ω, 30Ω, 50Ω and 70Ω. Voltage sag and current swell of phase a, b and c that were obtained from the PSCAD simulation have been used as the input variables for Fuzzy Logic design. The acquired results that represented in average accuracy shown that voltage sag and current swell can draw a satisfying accuracy in classifying the fault type.
Gbest Artificial Bee Colony for Non-convex Optimal Economic Dispatch in Power Generation M. N. Abdullah; A. F. A. Manan; J. J. Jamian; S. A. Jumaat; N. H. Radzi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i1.pp187-194

Abstract

Non-convex Optimal Economic Dispatch (OED) problem is a complex optimization problem in power system operation that must be optimized economically to meet the power demand and system constraints. The non-convex OED is due to the generator characteristic such as prohibited operation zones, valve point effects (VPE) or multiple fuel options. This paper proposes a Gbest Artificial Bee Colony (GABC) algorithm based on global best particle (gbest) guided of Particle Swarm Optimization (PSO) in Artificial bee colony (ABC) algorithm for solving non-convex OED with VPE. In order to investigate the effectiveness and performance of GABC algorithm, the IEEE 14-bus 5 unit generators and IEEE 30-bus 6 unit generators test systems are considered. The comparison of optimal solution, convergence characteristic and robustness are also highlighted to reveal the advantages of GABC. Moreover, the optimal results obtained by proposed GABC are compared with other reported results of meta-heuristic algorithms. It found that the GABC capable to obtain lowest cost as compared to others. Thus, it has great potential to be implemented in  different types of power system optimization problem.
A review of combined economic emission dispatch for optimal power dispatch with renewable energy N. F. Aswan; M. N. Abdullah; A. H. Abu Bakar
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp33-40

Abstract

This paper provides comprehensive review of recent formulation and solution of combined economic emission dispatch problem considering renewable energy. Generally, power dispatch plays an important role in power generation system that mainly depends on the fossil fuels. Rapid depletion of these sources cause a limitation and increase the fuel price. At the same time, the poisonous gases emit by the thermal generator causes a long term environmental pollution. An extensive researches have been conducted for last few decades by considering Renewable Energy (RE) in power generation system as an alternative source. Therefore, Combined Economic Emission Dispatch (CEED) of thermal and renewable energy resources currently formulated in power dispatch problem. The optimization methods that commonly used to solve the CEED problem are categorized as traditional method, non-conventional method and hybrid method. It can be concluded that non-conventional and hybrid method have great and superior solution for solving multiobjective economic emission dispatch problem. The recent research related to CEED with RE are summarized in terms of methods, test cases, conditions, types of RE and constraints. Thus, it can be useful references for the research in this area.
Solar-powered flood early warning system with short message service (SMS) notifications Nur Anis Athirah; N. H. Radzi; M. N. Abdullah; S. A. Jumaat; N. Z. Mohamad
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1156-1162

Abstract

Flood is one of the most common hazards in Malaysia. Flood effects can be local, or very large, affecting the neighborhood or community and entire river basins. This flood develops slowly; sometimes over a period of days while sometimes develop quickly in just few minutes. With the real time flood information, it will allow public safety organizations and other emergency managers to effectively plan their resource deployment within the limited time of alert. Hence, this project aims to design the solar powered flood alert warning system by using solar energy as the power supply. This system will send message using GSM to the residents to notify them about the flood occurred. In this project, three LEDs were used to indicate the height of the water levels which are safe, alert and danger conditions. Each of the height have different water level that indicates the level of safety for each condition.