ALBERT

Description: We propose a synthesis method to design a 90° bent fair circular waveguide TE 01 mode transition based on the non-uniform rational B-spline technique. The transition by this method has advantages of small geometry, high transmission with wide band and high profile fairness. An example of design of such a transition is presented. The simulation shows that the transition exhibits a transmission as high as 99.3% at the central frequency 35 GHz and has a bandwidth of 16.7% when keeping the transmission over 95%. Furthermore, the profile is extremely fair, which meets the requirements to decrease the geometry errors between actual device and its design, to reduce the machining difficulty in the machining process. The hot test data indicate that good transmission of the TE 01 mode is obtained.

Description: In this study, the terahertz (THz) absorption and transmission of monolayer MoS 2 with different carrier concentrations were investigated theoretically. The calculation shows that the THz absorption of monolayer MoS 2 is very low even under high carrier concentrations and large incident angles. The sum of reflection and absorption losses of monolayer MoS 2 is lower than that of graphene by one to three orders of magnitude. The transmission of monolayer MoS 2 is higher than that of two-dimensional electron gases in traditional GaAs and InAs. The field-effect tube structure formed by monolayer MoS 2 -insulation-layer-graphene is also studied. The THz absorption of graphene can reach saturation under low voltage by tuning the voltage between MoS 2 and graphene layers in the structure. The maximum THz absorption of monolayer MoS 2 is approximately 5%. Thus, monolayer MoS 2 is a promising candidate for THz transparent electrodes.

Description: To solve joint optimization scheduling problem of thermal power plants based on the electricity market, the constraints and characteristics of optimal operation of thermal power plants are analyzed. From the perspective of economics and environmental science, we propose and establish an electricity market based joint optimization scheduling model of thermal power plants. Mutation particle swarm optimization algorithm (MPSO) is proposed to solve the model. Using an authentication instance, we compare and analyze the performances of the MPSO method and the mixed integer programming (MIP) method in solving the model. Further, considering a commonly used system, we show the efficiency of the MPSO method in solving the model; we apply two case studies to illustrate the performance of the MPSO method in solving the thermal unit commitment (UC) problem. To demonstrate the effectiveness of the MPSO method in solving the UC problem, we use MPSO method, PSO-LR (Lagrangian relaxation) [H. H. Balci and J. Valenzuela, Int. J. Appl. Math. Comput. Sci. 14 (3), 411–421 (1989)], improved PSO [B. Zhao et al. , Elect. Power Energy Syst. 28 , 482–490 (2006)], mimetic algorithm [J. Valenzuela and A. Smith, J. Heuristics 8 (2), 173–195 (2002)], adaptive LR [W. Ongsakul and N. Petcharaks, IEEE Trans. Power Syst. 19 (1), 620–628 (2004)], stochastic priority list (PL) [T. Senjyu et al. , Electr. Power Syst. Res. 76 , 283–292 (2006)], PL based evolutionary algorithm [D. Srinivasan and J. Chazelas, in International Conference on Power System Technology (2004), Vol. 90, pp. 1746–1751], enhanced adaptive LR [W. Ongsakul and N. Petcharaks, IEEE Trans. Power Syst. 19 (1), 620–628 (2004)], mixed-integer linear programming (MILP) [M. Carrin and J. M. Arroyo, IEEE Trans. Power Syst. 21 (1), 321–332 (2006)], MILP [G. Morales-Espana et al. , IEEE Trans. Power Syst. 28 , 4897 (2013)], NBD [T. Niknam et al. , Appl. Energy 86 , 1667–1674 (2009)], generalized new benders decomposition approach (NBD) [S. Rahimi et al. , World Appl. Sci. J. 6 (12), 1665–1672 (2009)], LR and genetic algorithm[C. P. Cheng et al. , IEEE Trans. Power Syst. 15 (2), 707–714 (2000)], and seeded memetic algorithm (SMA) [J. Valenzuela and A. Smith, J. Heuristics 8 (2), 173–195 (2002)] to solve the UC problem, simulation results are compared with the ones obtained by other methods. It is shown that the optimal operation model is right, the MPSO method is better than MIP method in solving the model, and they have universality. The effectiveness of the MPSO method in solving the UC problem is better than other methods. The MPSO method has better solutions in comparison with other methods, especially for systems with a large number of units.