Ming-Tang Tsai
Cheng Shiu University
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Publication
Featured researches published by Ming-Tang Tsai.
Expert Systems With Applications | 2011
Whei-Min Lin; Hong-Jey Gow; Ming-Tang Tsai
In this paper, a hybrid Taguchi-immune algorithm (HTIA) is presented to deal with the unit commitment problem. HTIA integrates the Taguchi method and the traditional immune algorithm (TIA), providing a powerful global exploration capability. Taguchi method (TM) has been widely used in experimental designs for problems with multiple parameters, and is incorporated into TIA in this paper for the crossover operation to select a better gene. The effectiveness and efficiency of HTIA are demonstrated by several case studies, and the results are compared with other methods published before. Test results show that the proposed method is feasible, robust, and more effective than many other previously developed computation algorithms.
Expert Systems With Applications | 2011
Whei-Min Lin; Hong-Jey Gow; Ming-Tang Tsai
Abstract This paper hybridized the Particle Swarm Optimization (PSO) with Signal-to-Noise Ratio (SNR) to solve the numerical optimization problems. PSO has the ability of both global and local searches, where improper parameter settings could cause the algorithm to converge at the local optimum. SNR, on the other hand, has the ability to evaluate “existence possibility of optimal value”. Integration of PSO and SNR thus becomes more robust, statistically sound and efficient than PSO. In this paper, fifteen standard test functions (benchmark problems) with a large number of local optimal solutions and high dimension (30 or 100 dimension) are used for examples and solved by the proposed algorithm. The results show that the proposed algorithm by this study can effectively obtain the global optimal solutions or close-to-optimal solutions.
Archive | 2014
Ming-Tang Tsai; Sung-Ling Chen; Szu-Wzi Wu; Cheng-Pin Lin
This paper presents an approach for determining optimal placement of wind turbine in the distribution systems. In order to minimize the system losses the optimization approach is solved by the Particle Swarm Optimization (PSO). To enhance the performance of the optimization approach, a load flow model with Equivalent Current Injection (ECI) is used to analyze the power flow of distribution systems for getting better convergent characteristics. Example of Taipower distribution feeder is presented to illustrate the efficiency and feasible of the proposed algorithm. Simulation results show that with proper placement of wind turbine can be used to reduce system loss, and maintain the voltage profile.
Applied Energy | 2010
Whei-Min Lin; Hong-Jey Gow; Ming-Tang Tsai
Energy Conversion and Management | 2010
Whei-Min Lin; Hong-Jey Gow; Ming-Tang Tsai
Energy Conversion and Management | 2011
Whei-Min Lin; Hong-Jey Gow; Ming-Tang Tsai
Energies | 2015
Whei-Min Lin; Chia-Sheng Tu; Ming-Tang Tsai
International Journal of Electrical Power & Energy Systems | 2011
Ming-Tang Tsai; Hong-Jey Gow; Whei-Min Lin
Applied Energy | 2011
Ming-Tang Tsai; Chih-Wei Yen
International Journal of Electrical Power & Energy Systems | 2011
Ming-Tang Tsai; Hong-Jey Gow; Whei-Min Lin