检索结果-内蒙古大学图书馆

Improved sequential quadratic programming Approach for Optimal Distribution Generation Deployments via Stability and Sensitivity Analyses

引用

ELECTRIC POWER COMPONENTS AND SYSTEMS 2010年第14期38卷 1595-1614页

作者： Alhajri, M. F. Alrashidi, M. R. El-Hawary, M. E. Coll Technol Studies Dept Elect Engn PAAET Shuwaikh Kuwait Dalhousie Univ Dept Elect & Comp Engn Halifax NS Canada

Integrating distributed generation into an electric power system has an overall positive impact on the system. This impact can be enhanced via optimal distributed generation placement and sizing. In this article, the location issue is investigated through stability and sensitivity analyses. Distributed generation rating, on the other hand, is formulated as a non-linear optimization problem subject to high non-linear equality and inequality constraints. Sizing the distributed generation optimally is performed using a modified sequential quadratic programming method. The sequential quadratic programming is improved by incorporating the fast and flexible radial power flow routine, which was developed in an earlier work, to satisfy the power flow requirements. The proposed equality constraints satisfaction approach drastically reduces computational time requirements. This hybrid method is compared with conventional sequential quadratic programming, and the results are in favor of the proposed technique. The approach is designed to handle optimal single and multiple distributed generation placement and sizing with specified and unspecified power factors. A 69-bus distribution system is used to investigate the performance of the proposed approach.

关键词： distribution generation distributed generation optimal placement and sizing radial distribution power flow sequential quadratic programming stability and sensitivity indices

来源：评论

学校读者我要写书评

暂无评论

Active-set sequential quadratic programming with variable probabilistic constraint evaluations for optimization problems under non-Gaussian uncertainties

引用

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE 2010年第C6期224卷 1273-1285页

作者： Chan, K-Y Huang, Y-C Natl Cheng Kung Univ Dept Mech Engn Tainan 70101 Taiwan

Design optimization under random uncertainties are formulated as problems with probabilistic constraints. Calculating these constraints presents a major challenge in the optimization. While most research concentrates on uncertainties that are Gaussian, a great number of uncertainties in the environment are non-Gaussian. In this work, various reliability analyses for non-Gaussian uncertainties within a sequential quadratic programming framework are integrated. An analytical reliability contour (RC) is first constructed in the design space to indicate the minimal distance from the feasible boundary of a design at a desired reliability level. A safe zone contour is then created so as to provide a quick estimate of the RC. At each design iteration reliability analyses of different accuracies are selected based on the level needed, depending on the activity of a constraint. For problems with a large number of constraints and relatively few design variables, such as structural problems, the active set strategies significantly improve efficiency, as demonstrated in the examples.

关键词： reliability-based design optimization non-Gaussian random parameters reliability contour active set strategies sequential quadratic programming

来源：评论

学校读者我要写书评

暂无评论

Optimal supervisory control of a central chilled water plant with heuristic search sequential quadratic programming

引用

ENGINEERING OPTIMIZATION 2010年第9期42卷 863-885页

作者： Sun, Jian Turbine Air Syst Energy Efficiency Dept Houston TX USA

A new methodology for adapting rigorous simulation programs to optimal supervisory control of a central chilled water plant is proposed in this article, which solves plant operation mode optimization and set points optimization by combining heuristic search with sequential quadratic programming. The mathematical basis of this algorithm is developed. A new derivative calculation strategy is introduced in set points optimization. This approach is applied to a central chilled water plant which consists of three chillers, two 3-cell cooling towers, three chilled water pumps and three condenser water pumps. Model verification study is performed. The optimal sequence of operation, set points of the decision variables at given load demand and weather condition are calculated. The plant performance and optimal control results are discussed.

关键词： chilled water plant supervisory control sequential quadratic programming optimization

来源：评论

学校读者我要写书评

暂无评论

Skobelev network optimisation by sequential quadratic programming

引用

ELECTRONICS LETTERS 2010年第8期46卷 553-U22页

作者： Petrolati, D. Angeletti, P. Morini, A. Toso, G. European Space Agcy NL-2200 AG Noordwijk Netherlands Univ Politecn Marche I-60131 Ancona Italy

A new method for optimising the directional couplers characterising a Skobelev network is presented. The method adopted succeeds in improving the performances of the related sub-array radiation patterns in terms of si... 详细信息

关键词： Skobelev network optimisation antenna arrays antenna radiation patterns antenna theory directional couplers directional couplers quadratic programming sequential quadratic programming sidelobe level subarray radiation patterns

来源：评论

学校读者我要写书评

暂无评论

A velocity tracking approach for the data assimilation problem in blood flow simulations

引用

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2017年第10期33卷 2017 Oct;33(10)页

作者： Tiago, J. Guerra, T. Sequeira, A. ULisboa Dept Math Lisbon Portugal ULisboa CEMAT IST Lisbon Portugal Inst Politecnico Setubal ESTBarreiro Setubal Portugal

Several advances have been made in data assimilation techniques applied to blood flow modeling. Typically, idealized boundary conditions, only verified in straight parts of the vessel, are assumed. We present a general approach, on the basis of a Dirichlet boundary control problem, that may potentially be used in different parts of the arterial system. The relevance of this method appears when computational reconstructions of the 3D domains, prone to be considered sufficiently extended, are either not possible, or desirable, because of computational costs. On the basis of taking a fully unknown velocity profile as the control, the approach uses a discretize then optimize methodology to solve the control problem numerically. The methodology is applied to a realistic 3D geometry representing a brain aneurysm. The results show that this data assimilation approach may be preferable to a pressure control strategy and that it can significantly improve the accuracy associated to typical solutions obtained using idealized velocity profiles.

关键词： blood flow boundary control data assimilation sequential quadratic programming

来源：评论

学校读者我要写书评

暂无评论

Synthesis and implementation aspects of linear antenna arrays with shaped radiation pattern for mobile communications

引用

IET MICROWAVES ANTENNAS & PROPAGATION 2016年第4期10卷 442-452页

作者： Schlosser, Edson R. Heckler, Marcos V. T. Machado, Renato Tinoco Salazar, Alexis Fabricio Univ Fed Pampa UNIPAMPA Campus Alegrete BR-97546550 Alegrete RS Brazil Univ Fed Santa Maria Dept Elect & Comp BR-97105900 Santa Maria RS Brazil Inst Tecnol Aeronaut Lab Antennas & Propagat BR-12228900 Sao Jose Dos Campos SP Brazil

This study presents a technique to design antenna arrays with shaped radiation pattern. The efficiency of the proposed technique is demonstrated for the optimisation of a linear microstrip array for radio base stations of mobile communication systems. The main beam is shaped so as to provide uniform distribution of power inside a sector of a cell and to minimise the power radiated above the horizon. The synthesis of the shaped pattern is achieved by a combination of genetic algorithm and sequential quadratic programming. In contrast to several papers found in the literature that consider only isotropic antennas, the proposed approach takes into account all the radiation properties of small arrays, such as the mutual coupling between the array elements and edge effects. Finally, the design of the feeding system to produce the synthesised pattern is discussed. Measurements are used to validate the proposed technique.

关键词： antenna radiation patterns linear antenna arrays genetic algorithms quadratic programming mobile communication linear antenna arrays shaped radiation pattern design antenna arrays optimisation linear microstrip array mobile communication systems uniform distribution genetic algorithm sequential quadratic programming isotropic antennas radiation properties mutual coupling edge effects feeding system

来源：评论

学校读者我要写书评

暂无评论

Orthogonal frequency division multiplexing linear frequency modulation signal design with optimised pulse compression property of spatial synthesised signals

引用

IET RADAR SONAR AND NAVIGATION 2016年第7期10卷 1319-1326页

作者： Li, Hui Zhao, Yongbo Cheng, Zengfei Feng, Da-Zheng Xidian Univ Natl Lab Radar Signal Proc Xian Peoples R China

Orthogonal frequency division multiplexing (OFDM) linear frequency modulation (LFM) waveform is widely studied due to its application potentials in multiple-input-multiple-output (MIMO) radar, but its effective design is still a challenge. Considering the critical role, the pulse compression property of spatial synthesised signals plays in MIMO radar, a detailed analysis is made using OFDM LFM signals, resulting in the radical reasons for the high grating sidelobes. Then, a joint optimisation method for OFDM LFM signal design based on genetic algorithm and sequential quadratic programming is proposed to degrade the sidelobe level dramatically. Furthermore, to nullify the grating sidelobes thoroughly, a modification is performed through optimising the relaxed frequency steps of the OFDM LFM waveform, which involves a balance between sidelobe property and orthogonality. Numerical results validate the theoretic analysis and show the superior performance of the designed OFDM LFM waveforms in pulse compression properties of spatial synthesised signals.

关键词： signal synthesis OFDM modulation MIMO radar radar signal processing genetic algorithms quadratic programming optimised pulse compression spatial synthesised signals orthogonal frequency division multiplexing OFDM linear frequency modulation LFM multiple-input-multiple-output radar MIMO radar OFDM LFM signals genetic algorithm sequential quadratic programming

来源：评论

学校读者我要写书评

暂无评论

An efficient second-order SQP method for structural topology optimization

引用

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION 2016年第6期53卷 1315-1333页

作者： Rojas-Labanda, Susana Stolpe, Mathias Tech Univ Denmark Dept Wind Energy Frederiksborgvej 399 DK-4000 Roskilde Denmark

This article presents a sequential quadratic programming (SQP) solver for structural topology optimization problems named TopSQP. The implementation is based on the general SQP method proposed in Morales et al. J Numer Anal 32(2):553-579 (2010) called SQP+. The topology optimization problem is modelled using a density approach and thus, is classified as a nonconvex problem. More specifically, the SQP method is designed for the classical minimum compliance problem with a constraint on the volume of the structure. The sub-problems are defined using second-order information. They are reformulated using the specific mathematical properties of the problem to significantly improve the efficiency of the solver. The performance of the TopSQP solver is compared to the special-purpose structural optimization method, the Globally Convergent Method of Moving Asymptotes (GCMMA) and the two general nonlinear solvers IPOPT and SNOPT. Numerical experiments on a large set of benchmark problems show good performance of TopSQP in terms of number of function evaluations. In addition, the use of second-order information helps to decrease the objective function value.

关键词： Topology optimization sequential quadratic programming Minimum compliance Second-order method Hessian approximation

来源：评论

学校读者我要写书评

暂无评论

Multi-Population Based Ensemble Mutation Method for Single Objective Bilevel Optimization Problem

引用

IEEE ACCESS 2016年 4卷 7262页

作者： Li, Xiangtao Ma, Shijing Wang, Yunhe Northeast Normal Univ Dept Comp Sci & Informat Technol Changchun 130117 Peoples R China

Differential evolution algorithm is an effective and population-based global optimization algorithm, which has been successfully used in many different fields. In this paper, the proposed algorithm attempts to combine the advantage of the evolutionary algorithm and local search to find the global optimum solutions with the low computational cost for the single objective bilevel optimization problem. For the upper level optimization, a multi-population-based ensemble mutation method is proposed to enhance the convergence rate of the algorithm and diversity maintenance. For the lower level optimization, a local search based on sequential quadratic programming method is used to find the best solution and then return the final solution into the upper level optimization. To verify the performance of the proposed algorithm, eight benchmark functions chosen from the literature are employed. Compared with some previous evolutionary algorithms, the results show the superior performance of the proposed algorithm over other algorithms in handling single objective bilevel optimization problem.

关键词： Bilevel programming differential evolution sequential quadratic programming ensemble

来源：评论

学校读者我要写书评

暂无评论

Optimal Control for a Cooperative Rendezvous Between Two Spacecraft from Determined Orbits

引用

JOURNAL OF THE ASTRONAUTICAL SCIENCES 2016年第1期63卷 23-46页

作者： Feng, Weiming Han, Liping Shi, Lei Zhao, Di Yang, Kun Shandong Univ Dept Engn Mech Jinan 260062 Peoples R China Washington Univ Dept Mech Engn & Mat Sci St Louis MO 63130 USA

The mathematical model of a far-distance cooperative rendezvous between two spacecraft in a non-Keplerian orbit was established. Approximate global optimization was performed by a type of hybrid algorithm consisting of particle swarm optimization and differential evolution. In this process, the double-fitness function was established according to the objective function and the constraints;the double-fitness function was used to enable a better choice between the solutions obtained by the two algorithms at every iteration. In addition, the costate variables obtained were set as the initial values of the sequential quadratic programming to greatly increase the possibility of finding the approximate global optimal solution. After performing the calculations and simulations, it was concluded that the fuel required for orbiting was not influenced by the initial positions of the two spacecraft if the initial orbits of the two spacecraft were determined. However, the time consumption is strongly influenced in this situation.

关键词： Cooperative rendezvous Hybrid algorithm sequential quadratic programming Optimal control

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：