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Solving Short-Term Cascaded Hydrothermal Scheduling Problem Using Modified Cuckoo Search Algorithm
Thang Trung Nguyen,Dieu Ngoc Vo 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.1
This paper presents a modified cuckoo search algorithm (MCSA) for solving short-term cascaded hydrothermal scheduling (ST-CHTS) problem. The short-term cascaded hydrothermal scheduling is to determine the optimal operation for thermal plants and a cascaded reservoir system while satisfying all constraints including electrical constraints of both hydro and thermal plants and hydraulic constraints of reservoirs. The MCSA has been developed by modifying the search strategy via Lévy flights to improve the performance of the conventional cuckoo search algorithm. The proposed method has been widely and successfully applied to many optimization problems in engineering fields; however, this is first time employed to search for the optimal solution of the ST-CHTS problem. The proposed method has been tested on two systems where thermal plants with nonconvex fuel cost function and a cascaded reservoir system are taken into account. The result comparison from the MCSA compared to other methods reported in the literature has revealed that the proposed MCSA is very efficient for solving the ST-CHTS problem.
Thang Trung Nguyen,Dieu Ngoc Vo 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.6
This paper proposes an augmented Lagrange Hopfield network (ALHN) based method for solving multi-objective short term fixed head hydrothermal scheduling problem. The main objective of the problem is to minimize both total power generation cost and emissions of NOx, SO₂, and CO₂ over a scheduling period of one day while satisfying power balance, hydraulic, and generator operating limits constraints. The ALHN method is a combination of augmented Lagrange relaxation and continuous Hopfield neural network where the augmented Lagrange function is directly used as the energy function of the network. For implementation of the ALHN based method for solving the problem, ALHN is implemented for obtaining non-dominated solutions and fuzzy set theory is applied for obtaining the best compromise solution. The proposed method has been tested on different systems with different analyses and the obtained results have been compared to those from other methods available in the literature. The result comparisons have indicated that the proposed method is very efficient for solving the problem with good optimal solution and fast computational time. Therefore, the proposed ALHN can be a very favorable method for solving the multi-objective short term fixed head hydrothermal scheduling problems.
Two Lagrange Optimization Theory Based Methods for Solving Economic Load Dispatch Problems
Nguyen Dao,Nguyen Thuy Linh,Tran Hoang Quang Minh,Nguyen Trung Thang 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.5
The optimal generation dispatch problem with only one fuel option for each generating unit has been solved for many recent years. However, it is more realistic to represent the fuel cost function for each fossil fired plant as a segmented piece-wise quadratic functions. This is because of development of technology in thermal plants to reach maximum fuel save. Those units are faced with the difficulty of determining which the most economical fuel to burn is. This paper presents two effective methods for solving economic load dispatch problem with multiple fuel options. An advantage of the methods is to formulate Lagrange mathematical function easily based on the Lagrange multiplier theory. The proposed methods are tested on one test system consisting of ten generating units with various load demands and compared to other methods. The simulation results show that the methods are very efficient for the optimal generation dispatch problem with multiple fuel options
Nguyen, Thang Trung,Vo, Dieu Ngoc The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.6
This paper proposes an augmented Lagrange Hopfield network (ALHN) based method for solving multi-objective short term fixed head hydrothermal scheduling problem. The main objective of the problem is to minimize both total power generation cost and emissions of $NO_x$, $SO_2$, and $CO_2$ over a scheduling period of one day while satisfying power balance, hydraulic, and generator operating limits constraints. The ALHN method is a combination of augmented Lagrange relaxation and continuous Hopfield neural network where the augmented Lagrange function is directly used as the energy function of the network. For implementation of the ALHN based method for solving the problem, ALHN is implemented for obtaining non-dominated solutions and fuzzy set theory is applied for obtaining the best compromise solution. The proposed method has been tested on different systems with different analyses and the obtained results have been compared to those from other methods available in the literature. The result comparisons have indicated that the proposed method is very efficient for solving the problem with good optimal solution and fast computational time. Therefore, the proposed ALHN can be a very favorable method for solving the multi-objective short term fixed head hydrothermal scheduling problems.
Cyber-Physical Power and Energy Systems with Wireless Sensor Networks: A Systematic Review
Nguyen Thang Trung,Mohammadi Fazel 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.6
Power grids are among the primary targets for exploitation by cyber-attacks. Modern power and energy systems are controlled and monitored by a network of electrical and communication devices for reliability improvement and resilience enhancement. To increase the capability of remote control and monitoring, Wireless Sensor Networks (WSNs) are widely employed in modern power and energy systems. WSNs, as the foundation of Internet-of-Things (IoT), act as the essential enabling technologies for Cyber-Physical Power and Energy Systems (CPPES). Despite the benefits of WSNs in power and energy systems, such as high efficiency and low deployment costs, their security is a major challenge. In this paper, a systematic review of applications, challenges, and standards of WSNs in CPPES is presented, and various theoretical solutions are discussed. Finally, recommendations for future research are provided.
Highly efficient adsorption of arsenite from aqueous by zirconia modified activated carbon
Pham Ngoc Chuc,Nguyen Quang Bac,Dao Thi Phuong Thao,Nguyen Trung Kien,Nguyen Thi Ha Chi,Nguyen Van Noi,Vo Thang Nguyen,Nguyen Thi Hong Bich,Dao Ngoc Nhiem,Dinh Quang Khieu 대한환경공학회 2024 Environmental Engineering Research Vol.29 No.2
Electrical Conduction and Resistance Switching Mechanisms of Ag/ZnO/Ti Structure
Nguyen, Trung Do,Pham, Kim Ngoc,Tran, Vinh Cao,TuanNguyen, Duy Anh,Phan, Bach Thang Institute of Korean Electrical and Electronics Eng 2013 전기전자학회논문지 Vol.17 No.3
We investigated electrical conduction and resistance switching behavior of the Ag/ZnO/Ti structures for random access memory devices. These films were prepared on glass substrate by dc sputtering technique at room temperature. The resistance switching follows unipolar switching mode with small switching voltages (0.4 V - 0.6 V). Two electrical conduction mechanisms dominating the LRS and HRS are Ohmic and trap-controlled space charge limited current, respectively. These both conductions are consistent with the filamentary model. Based on the filamentary model, the switching mechanism was also interpreted.
Electrical Conduction and Resistance Switching Mechanisms of Ag/ZnO/Ti Structure
Trung Do Nguyen,Kim Ngoc Pham,Vinh Cao Tran,Duy Anh TuanNguyen,Bach Thang Phan 한국전기전자학회 2013 전기전자학회논문지 Vol.17 No.3
We investigated electrical conduction and resistance switching behavior of the Ag/ZnO/Ti structures for random access memory devices. These films were prepared on glass substrate by dc sputtering technique at room temperature. The resistance switching follows unipolar switching mode with small switching voltages (0.4 V – 0.6 V). Two electrical conduction mechanisms dominating the LRS and HRS are Ohmic and trap-controlled space charge limited current, respectively. These both conductions are consistent with the filamentary model. Based on the filamentary model, the switching mechanism was also interpreted.