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All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Thuan Thanh Nguyen
Industrial University of Ho Chi Minh City
Computer Science & IT Electrical & Electronics Engineering

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Journal : TELKOMNIKA (Telecommunication Computing Electronics and Control)

 1 
Optimizing location and size of capacitors for power loss reduction in radial distribution networks Thuan Thanh Nguyen; Phan Nguyen Vinh; Hung Duc Nguyen; Ly Huu Pham; Thang Trung Nguyen
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 1: February 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i1.16491

Abstract

Power radial distribution systems are increasingly more and more important in transmitting the electric energy from power plants to customers. However, total loss in lines are very high. This issue can be solved by allocating capacitor banks. Determining the suitable allocation and optimal sizing of capacitor banks needs an efficient approach. In this study, the diffusion and update techniques-based algorithm (DUTA) is proposed for such reason. The efficiency of DUTA is inspected on two distribution systems consisting of 15-bus and 33-bus systems with different study cases. The solutions attained by DUTA are competed with recently published methods. As a consequence, the method is more effective than the other methods in terms of the quality of solution.
Modified moth swarm algorithm for optimal economic load dispatch problem Phu Trieu Ha; Hanh Minh Hoang; Thuan Thanh Nguyen; Thang Trung Nguyen
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 4: August 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i4.15032

Abstract

In this study, optimal economic load dispatch problem (OELD) is resolved by a novel improved algorithm. The proposed modified moth swarm algorithm (MMSA), is developed by proposing two modifications on the classical moth swarm algorithm (MSA). The first modification applies an effective formula to replace an ineffective formula of the mutation technique. The second modification is to cancel the crossover technique. For proving the efficient improvements of the proposed method, different systems with discontinuous objective functions as well as complicated constraints are used. Experiment results on the investigated cases show that the proposed method can get less cost and achieve stable search ability than MSA. As compared to other previous methods, MMSA can archive equal or better results. From this view, it can give a conclusion that MMSA method can be valued as a useful method for OELD problem.
Optimal distribution network configuration using improved backtracking search algorithm Thuan Thanh Nguyen
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 1: February 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i1.16773

Abstract

Optimal network configuration is one of the effective approaches for power loss reduction of the distribution network. This paper shows a network reconfiguration method using improved backtracking search algorithm (IBSA). Wherein, IBSA is improved in the process of generating randomly the initialization population. The network reconfiguration method based on IBSA is used to find the optimal network configuration for the 33-node and 69-node systems. The results are compared to the original backtracking search algorithm (BSA), particle swarm optimization (PSO), firefly algorithm (FA) and previous approaches. From the compared results, IBSA can determine the optimal network configuration with higher success rate than BSA, PSO, FA and lower power loss than other previous approaches. As a result, IBSA is an effective approach for finding the optimal network configuration.
Co-Authors Bach Hoang Dinh Hanh Minh Hoang Hung Duc Nguyen Ly Huu Pham Ly Huu Pham Ngoc Anh Nguyen Ngoc Au Nguyen Ngoc Thiem Nguyen Phan Nguyen Vinh Phu Trieu Ha Tan Minh Phan Thang Trung Nguyen Thang Trung Nguyen Thang Trung  Nguyen Thanh Long Duong Thanh Quyen Ngo Thanh-Phuc Nguyen Thanhquy Bach Trieu Ton Ngoc Trung Dung Nguyen Van-Duc Phan