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  • 1
    Online Resource
    Online Resource
    Giải thuật PWM cải tiến cho nghịch lưu ba bậc hình T để tăng hệ số tăng áp
    Ho Chi Minh City University of Technology and Education ; 2021
    In:  Journal of Technical Education Science , No. 64 ( 2021-06-30), p. 65-72
    Details
    In: Journal of Technical Education Science, Ho Chi Minh City University of Technology and Education, , No. 64 ( 2021-06-30), p. 65-72
    Abstract: Trong bài báo này, một giải thuật PWM cải tiến cho nghịch lưu tăng áp tựa khóa chuyển mạch hình T ba bậc (TL-MqSBT2I) để tăng hệ số tăng áp được trình bày. Trạng thái ngắn mạch (ST) được chèn vào các vector zero nhằm mục đích tăng áp mà không ảnh hưởng đến điện áp ngõ ra. Phương pháp điều khiển xung ngắn mạch cải tiến có thể tăng hệ số tăng áp lên đến 66.67% so với phương pháp điều khiển truyền thống khi chu kỳ đóng D0 là 0.15. Bằng cách kết hợp kỹ thuật ngắn mạch xen kẽ và ngắn mạch đồng thời giữa mạng nguồn kháng và nghịch lưu hình T. Nguyên lý hoạt động và phương pháp điều khiển tổng quát cho cấu hình này được trình bày chi tiết. Kết quả mô phỏng được thực hiện trên phần mềm PSIM để chứng minh tính chính xác của phương pháp này.
    Type of Medium: Online Resource
    ISSN: 2615-9740
    URL: Article
    DOI: 10.54644/jte.64.2021.91
    Language: Unknown
    Publisher: Ho Chi Minh City University of Technology and Education
    Publication Date: 2021
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  • 2
    Online Resource
    Online Resource
    Optimal Reactive Power Generation for Transmission Power Systems Considering Discrete Values of Capacitors and Tap Changers
    MDPI AG ; 2021
    In:  Applied Sciences Vol. 11, No. 12 ( 2021-06-10), p. 5378-
    Details
    In: Applied Sciences, MDPI AG, Vol. 11, No. 12 ( 2021-06-10), p. 5378-
    Abstract: In this paper, an improved coyote optimization algorithm (ICOA) is developed for determining control parameters of transmission power networks to deal with an optimal reactive power dispatch (ORPD) problem. The performance of ICOA method is superior to its conventional coyote optimization algorithm (COA) thanks to modifications of two new solution generations of COA. COA uses a center solution to generate an update step size in the first solution generation and produced one new solution by using random factors to diversify the search space in the second solution generation. By tackling the drawbacks of COA, ICOA can reduce control parameters and computation steps, shorten execution time, and provide better results. ICOA is compared to its conventional COA for three standard IEEE systems of 30-, 57-, and 118-buses with continuous and discrete control variables. Moreover, three other algorithms such as water cycle algorithm (WCA), salp swarm algorithm (SSA), and sunflower optimization algorithm (SFOA) have been also implemented for further investigation of the real performance of the proposed method. All the applied methods are metaheuristic algorithms based on population and randomization. The result comparison from the test systems has indicated that ICOA can provide higher solution quality than other methods with reasonable execution time. Therefore, ICOA is a reliable tool for finding optimal solutions of the ORPD problem.
    Type of Medium: Online Resource
    ISSN: 2076-3417
    URL: Article
    DOI: 10.3390/app11125378
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2704225-X
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  • 3
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    Online Resource
    Single Phase Second Order Sliding Mode Controller for Mismatched Uncertain Systems with Extended Disturbances and Unknown Time-Varying Delays
    Ton Duc Thang University ; 2022
    In:  Journal of Advanced Engineering and Computation Vol. 6, No. 2 ( 2022-06-30), p. 122-
    Details
    In: Journal of Advanced Engineering and Computation, Ton Duc Thang University, Vol. 6, No. 2 ( 2022-06-30), p. 122-
    Abstract: In this paper, a novel single phase second order sliding mode controller (SPSOSMC) is proposed for the mismatched uncertain systems with extended disturbances and unknown time-varying delays. The main achievements of this study consist of three tasks: 1) a reaching phase in conventional sliding mode control (CSMC) technique is removed to ensure the global stability of the system; 2) an influence of the undesired high-frequency oscillation phenomenon in control input is vanished; 3) an exogenous perturbation is generally extended to the k-order disturbance of state variable. Firstly, a single phase switching manifold function is defined to eliminate the reaching phase in CSMC. Secondly, an unmeasurable state variable is estimated by using the proposed reduced-order sliding mode observer (ROSMO) tool. Next, a SPSOSMC is built based on the help of ROSMO tool and output information only. Then, a sufficient condition is established by employing the linear matrix inequality (LMI) technique and Lyapunov function theory such that the resulting sliding mode dynamics is asymptotically stable. Finally, a numerical example is simulated via the well-known MATLAB software to validate the effectiveness of the proposed technique.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited. 
    Type of Medium: Online Resource
    ISSN: 2588-123X , 1859-2244
    URL: Article
    DOI: 10.55579/jaec.202262.353
    Language: Unknown
    Publisher: Ton Duc Thang University
    Publication Date: 2022
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  • 4
    Online Resource
    Online Resource
    Minimizing Electricity Fuel Cost of Thermal Generating Units by Using Improved Firefly Algorithm
    The Institute for Research and Community Services (LPPM) ITB ; 2019
    In:  Journal of Engineering and Technological Sciences Vol. 51, No. 1 ( 2019-02-28), p. 133-147
    Details
    In: Journal of Engineering and Technological Sciences, The Institute for Research and Community Services (LPPM) ITB, Vol. 51, No. 1 ( 2019-02-28), p. 133-147
    Abstract: This paper presents the application of an improved firefly algorithm (IFA) for minimizing total electricity generation fuel cost while all loads are supplied by thermal generating units. The proposed IFA was developed by combining two proposed improvements of the firefly algorithm (FA), i.e. improvement of the distance between two considered solutions and improvement of the new-solution production technique. The effect of each proposed improvement on the conventional firefly algorithm (FA) and the performance of IFA were investigated in two study cases, i.e. single- and multi-fuel option based thermal generating units. In the first case, three different systems with three, six and twenty units were employed, while a ten-unit system with four different loads was tested in the second case. The comparison results between IFA and existing methods, including three other FA variants, revealed that the two proposed improvements of FA are very efficient and make IFA a very promising meta-heuristic algorithm for minimizing fuel cost of thermal generating units.
    Type of Medium: Online Resource
    ISSN: 2338-5502 , 2337-5779
    URL: Issue
    URL: Article
    DOI: 10.5614/j.eng.technol.sci.2019.51.1
    DOI: 10.5614/j.eng.technol.sci.2019.51.1.9
    Language: Unknown
    Publisher: The Institute for Research and Community Services (LPPM) ITB
    Publication Date: 2019
    detail.hit.zdb_id: 2548716-4
    detail.hit.zdb_id: 3068725-1
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  • 5
    Online Resource
    Online Resource
    An Effectively Modified Firefly Algorithm for Economic Load Dispatch Problem
    Universitas Ahmad Dahlan ; 2018
    In:  TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol. 16, No. 5 ( 2018-10-01), p. 2436-
    Details
    In: TELKOMNIKA (Telecommunication Computing Electronics and Control), Universitas Ahmad Dahlan, Vol. 16, No. 5 ( 2018-10-01), p. 2436-
    Type of Medium: Online Resource
    ISSN: 2302-9293 , 1693-6930
    URL: Issue
    URL: Article
    DOI: 10.12928/telkomnika.v16i5
    DOI: 10.12928/telkomnika.v16i5.10545
    Language: Unknown
    Publisher: Universitas Ahmad Dahlan
    Publication Date: 2018
    detail.hit.zdb_id: 2628075-9
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  • 6
    Online Resource
    Online Resource
    Single phase second order sliding mode controller for complex interconnected systems with extended disturbances and unknown time-varying delays
    Institute of Advanced Engineering and Science ; 2022
    In:  International Journal of Electrical and Computer Engineering (IJECE) Vol. 12, No. 5 ( 2022-10-01), p. 4852-
    Details
    In: International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science, Vol. 12, No. 5 ( 2022-10-01), p. 4852-
    Abstract: 〈 p 〉 Novel results on complex interconnected time-delay systems with single phase second order sliding mode control is investigated. First, a reaching phase in traditional sliding mode control (TSMC) is removed by using a novel single phase switching manifold function. Next, a novel reduced order sliding mode observer (ROSMO) with lower dimension is suggested to estimate the unmeasurable variables of the plant. Then, a new single phase second order sliding mode controller (SPSOSMC) is established based on ROSMO tool to drive the state variables into the specified switching manifold from beginning of the motion and reduce the chattering in control input. Then, a stability condition is suggested based on the well-known linear matrix inequality (LMI) method to ensure the asymptotical stability of the whole plant. Finally, an illustrated example is simulated to validate the feasible application of the suggested technique. 〈 /p 〉
    Type of Medium: Online Resource
    ISSN: 2722-2578 , 2088-8708
    URL: Issue
    URL: Article
    DOI: 10.11591/ijece.v12i5
    DOI: 10.11591/ijece.v12i5.pp4852-4860
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2022
    detail.hit.zdb_id: 2667127-X
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  • 7
    Online Resource
    Online Resource
    A Novel Social Spider Optimization Algorithm for Large-Scale Economic Load Dispatch Problem
    MDPI AG ; 2019
    In:  Energies Vol. 12, No. 6 ( 2019-03-20), p. 1075-
    Details
    In: Energies, MDPI AG, Vol. 12, No. 6 ( 2019-03-20), p. 1075-
    Abstract: The paper develops an improved social spider optimization algorithm (ISSO) for finding optimal solutions of economic load dispatch (ELD) problems. Different ELD problem study cases can bring huge challenges for testing the robustness and effectiveness of the proposed ISSO method since discontinuous objective functions as well as complicated constraints are taken into account. The improved method is different from original social spider optimization algorithm (SSSO) by performing several modifications directly related to three processes of new solution generation. Namely, the proposed method keeps one formula for the first and the second generations and modify them effectively while SSSO has two different formulas for each generation. In the third generation, the proposed method applies a new formula for determining the mating radius of dominant males and females with the intent to expand search space and avoid falling into local zones. The modifications can support the proposed ISSO method find better solutions with faster manner than SSSO while the number of control parameters and the number of computational processes can be reduced. As a result, the proposed method can find much less generation cost and achieve faster search speeds than SSSO for all considered systems. On the other hand, the search ability evaluation of the proposed method is also given by comparing results with other existing methods available in previous studies. The proposed method can obtain approximate or better results and faster convergence than nearly all compared methods excluding for the last system. Consequently, the proposed ISSO method can be recommended to be a strong method for ELD problem and it can be tried for other mathematical problems in engineering.
    Type of Medium: Online Resource
    ISSN: 1996-1073
    URL: Article
    DOI: 10.3390/en12061075
    Language: English
    Publisher: MDPI AG
    Publication Date: 2019
    detail.hit.zdb_id: 2437446-5
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