The Numerical Manifold Method (NMM) has been considered as an effective analysis method for geotechnical problems. A vector-sum-based numerical manifold method (VSNMM) combined with a pattern search algorithm (PSA), t...
详细信息
The Numerical Manifold Method (NMM) has been considered as an effective analysis method for geotechnical problems. A vector-sum-based numerical manifold method (VSNMM) combined with a pattern search algorithm (PSA), termed VSNMM-PSA, is further proposed to assess the stability of slopes. In this numerical method, PSA is applied for the determination of failure surface location. With the stress field of the slope obtained from a NMM-based elastoplastic calculation, the vector sum method (VSM) is used to predict trial safety factors for a series of trial failure surfaces (TFSs) during the failure-surface determination process. Stability analyses about three standard slopes are investigated with the proposed VSNMM-PSA model. Numerical results indicate that slopes' safety factors and failure surfaces can be accurately determined through the proposed VSNMM-PSA method. The proposed VSNMM-PSA method provides an effective tool to evaluate slopes' stability, and may improve their designs.
patternsearch (PS) algorithm is proposed to design a STATCOM controller FACTS based transient stability in this paper. To avoid the disadvantage remote signal that may possibly affect consistency of the controller, a...
详细信息
ISBN:
(数字)9781728170343
ISBN:
(纸本)9781728170350
patternsearch (PS) algorithm is proposed to design a STATCOM controller FACTS based transient stability in this paper. To avoid the disadvantage remote signal that may possibly affect consistency of the controller, a locally measured line active power equivalent to remote speed variation signal is the modified signal given to controller input. The stability performance is enhance by optimization of the controller's parameter of the power system. The responses of the projected controllers are applied to both SMIB and 3-machine power system considering several transient disturbances. On comparing with different input signal with different fault and three operating condition, the MATLAB simulation results are presented. It is concluded that the damping of the power system is greatly enhanced in the case of modified local signal is measured rather than local and remote input signals.
This paper presents a novel hybrid technique for the solution of economic load dispatch problem with valve point loading effect using Nelder-Mead (NM) simplex method and patternsearch (PS) algorithm. Strength of glob...
详细信息
This paper presents a novel hybrid technique for the solution of economic load dispatch problem with valve point loading effect using Nelder-Mead (NM) simplex method and patternsearch (PS) algorithm. Strength of globalized NM optimization algorithm has been employed to explore the search space for near optimal solution, and PS algorithm is used in combination with a search space reduction strategy, incorporating the principles of selection and stochastic reproduction, to fine-tune the result. The proposed technique has been applied to three different systems having 3, 13 and 40 generating units to demonstrate the application for small to large load dispatch set-up. The efficacy of the design scheme is established from comparison of the results with the state-of-the-art solvers, and it is found that the proposed scheme gives the best result in terms of mean cost while the average computational time is less than most of the reported methods.
In this work, trajectory optimization of an aerodynamically controlled hypersonic boost glide class of flight vehicle is presented. In order to meet the mission constraints such as controllability, skin temperature, a...
详细信息
In this work, trajectory optimization of an aerodynamically controlled hypersonic boost glide class of flight vehicle is presented. In order to meet the mission constraints such as controllability, skin temperature, and terminal conditions etc., the trajectory is optimized using a pattern search algorithm with the lift to drag (L/D) ratio as a control parameter. It is brought out that the approach offers a viable tool for optimizing trajectories for the considered class of vehicles. Further, the effects of the constraints on trajectory shape and performance are studied and the analysis is used to bring out an optimal vehicle configuration at the initial stage of the design process itself. The research also reveals that the pattern search algorithm offers superior performance in comparison with the genetic algorithm for this class of optimization problem.
In this research article, a maiden approach of hybrid adaptive gbest' guided gravitational search and patternsearch (hGGSA-PS) optimization method are proposed for load frequency control (LFC) of multi-area inter...
详细信息
In this research article, a maiden approach of hybrid adaptive gbest' guided gravitational search and patternsearch (hGGSA-PS) optimization method are proposed for load frequency control (LFC) of multi-area interconnected power system considering the nonlinear effect of generation rate constraint (GRC). At first, the two area single stage thermal-thermal power system with conventional proportional integral derivative (PID) controller is analyzed and the parameters of the PID controller are optimized by the proposed technique. Initially, the gbest' guided gravitational searchalgorithm (GGSA) using integral time absolute error (ITAE) fitness function is used and then patternsearch (PS) technique is employed to fine-tune the obtained best solution from the GGSA. The supremacy of the hGGSA-PS optimized PID controller is presented by comparing its results with other modern soft computing techniques. Later in order to demonstrate the robustness of the proposed controller, the sensitive analysis is performed. Finally, the proposed technique is extended to a two area multi-source power system. The parameters of the controller for each area are optimized using the novel hGGSA-PS technique. From the simulation results, it can be seen that the proposed technique has superior performance than the prior results with lesser settling time and different performance index values.
Nowadays, the load on datacenters has become more and more due to the unprecedented growth of diversified data from many IoT devices;hence, resource utilization has become more difficult. So, Cloud computing emerged a...
详细信息
Multilateral well is a promising technology in developing oil reservoirs. Because this technology may increase the production rate per well and reduce the costs of field development, it is rapidly replacing the old me...
详细信息
Multilateral well is a promising technology in developing oil reservoirs. Because this technology may increase the production rate per well and reduce the costs of field development, it is rapidly replacing the old methods. This study uses a three-dimensional line-source model with direct search methods, including patternsearch and genetic algorithms to optimize the well trajectories. This method was applied to several cases, with different forms of wells and reservoirs. In all cases, significant improvement was observed in the production rate. Furthermore, the production enhancement using the optimized well trajectories which have curved-paths is compared to the case with linear well trajectories. It was shown that at least a 6% production increase is possible for the curved trajectory well with respect to the well with the constant slope lines. Besides, it was illustrated that the oil production is boosted solely by altering the slope of the well or its laterals along the well path.
Predicting the wind load effects on a multi-span transmission line-insulator system (MSTLIS) during tornado conditions presents challenges due to its unique characteristics, including localized size, three-dimensional...
详细信息
Predicting the wind load effects on a multi-span transmission line-insulator system (MSTLIS) during tornado conditions presents challenges due to its unique characteristics, including localized size, three-dimensional wind profiles, and the time-varying, uncertain positions of components resulting from tornado translation. This study focuses on predicting critical tornado-induced reactions transmitted to transmission towers, which are the key factors for controlled load cases in structural design. A nonlinear analytical method is introduced, integrating deformation compatibility and equilibrium equations for conductors and insulators to evaluate the quasi-static dynamic responses of MSTLIS under non-uniform, time-varying tornado loads. The accuracy of this method is validated against numerical results from the finite element method (FEM). Additionally, a patternsearch optimization algorithm is utilized to efficiently identify critical tornado load cases under any tornado and structural parameters, outperforming traditional grid search methods. This framework is further employed in a parametric analysis to explore the influence of various parameters on critical load cases. This paper provides novel insights for enhancing the prediction of critical load cases for MSTLIS reactions on towers under moving tornado conditions.
This article proposes a procedure for reconstructing dipole moment models from magnitude-only near-field scanned magnetic fields. Preprocessing uses a finite-impulse response filter to deblur the 2-D divergence of the...
详细信息
This article proposes a procedure for reconstructing dipole moment models from magnitude-only near-field scanned magnetic fields. Preprocessing uses a finite-impulse response filter to deblur the 2-D divergence of the magnetic fields to locate the dipoles. The procedure defines the modes of the dipole distribution using singular value decomposition. Based on mode decomposition, the modal coefficients are optimized through a pattern search algorithm to obtain the dipole moments. Compared with existing methods, this method reconstructs better phase information in high-noise situations. Using mode decomposition circumvents the problem of a limited number of dipoles that can be solved by existing optimization methods. Real experiments using high-resolution near-field scanned data show that the main emission sources of individual traces inside an integrated circuit (IC) chip can be distinguished through the proposed procedure.
This study addresses the challenges in accurately estimating photovoltaic (PV) parameters for solar energy applications by enhancing parameter extraction processes to improve the efficiency of PV models. An informatio...
详细信息
This study addresses the challenges in accurately estimating photovoltaic (PV) parameters for solar energy applications by enhancing parameter extraction processes to improve the efficiency of PV models. An information gap in PV solar cell and module parameters provided by vendors obstructs accurate simulation. Traditional numerical techniques face limitations in accurately solving complex nonlinear optimization problems. As a solution, metaheuristic algorithms, specifically the mountain gazelle optimizer, are proposed. To overcome limitations of the mountain gazelle optimizer, a pattern search algorithm is integrated for a more robust global and local search. Rigorous testing demonstrates superior performance in achieving lower best values and tighter standard deviations compared to existing algorithms, making it a promising and efficient optimizer for accurate parameter estimation in various solar cell and module models, including the R.T.C. France silicon solar cell and Photowatt-PWP201 PV module. The proposed optimizer excels in estimating parameters for both single diode, double diode, and PV module models, outperforming state-of-the-art algorithms and showcasing its potential for reliable and precise optimization in solar cell modeling applications.
暂无评论