Various migration methods have been proposed to image high-angle geological structures and media with strong lateral velocity variations; however, the problems of low precision and high computational cost remain unres...Various migration methods have been proposed to image high-angle geological structures and media with strong lateral velocity variations; however, the problems of low precision and high computational cost remain unresolved. To describe the seismic wave propagation in media with lateral velocity variations and to image high-angle structures, we propose the generalized screen propagator based on particle swarm optimization （PSO-GSP）, for the precise fitting of the single-square-root operator. We use the 2D SEG/EAGE salt model to test the proposed PSO-GSP migration method to image the faults beneath the salt dome and compare the results to those of the conventional high-order generalized screen propagator （GSP） migration and split-step Fourier （SSF） migration. Moreover, we use 2D marine data from the South China Sea to show that the PSO-GSP migration can better image strong reflectors than conventional imaging methods.展开更多
开放电力市场环境下,以配电网公司的净收益最大为目标,建立了考虑运行策略及投资主体利益的电池储能系统(battery energy storage system,BESS)优化配置模型。配电网公司的净收益由在大量用户自建分布式电源的主动配电网中投资建设BESS...开放电力市场环境下,以配电网公司的净收益最大为目标,建立了考虑运行策略及投资主体利益的电池储能系统(battery energy storage system,BESS)优化配置模型。配电网公司的净收益由在大量用户自建分布式电源的主动配电网中投资建设BESS的经济效益以及计入考虑循环寿命的BESS全寿命周期成本决定。其中,经济收益分为正常状态下的收益和系统故障过程的收益。同时通过设定追踪价格的上下限和最小的电池荷电状态,提出一种新的确定BESS运行策略的方法。优选智能单粒子群算法对该模型进行求解。以改进IEEE-33节点配电系统为例进行仿真验证,结果表明与固定的BESS运行策略相比,采用所提策略可获得更优的经济性,DG的类型与渗透率的大小对BESS的最优配置结果及经济收益有较大影响。展开更多
A new intelligent anti-swing control scheme,which combined fuzzy neural network(FNN) and sliding mode control(SMC) with particle swarm optimization(PSO),was presented for bridge crane.The outputs of three fuzzy neural...A new intelligent anti-swing control scheme,which combined fuzzy neural network(FNN) and sliding mode control(SMC) with particle swarm optimization(PSO),was presented for bridge crane.The outputs of three fuzzy neural networks were used to approach the uncertainties of the positioning subsystem,lifting-rope subsystem and anti-swing subsystem.Then,the parameters of the controller were optimized with PSO to enable the system to have good dynamic performances.During the process of high-speed load hoisting and dropping,this method can not only realize the accurate position of the trolley and eliminate the sway of the load in spite of existing uncertainties,and the maximum swing angle is only ±0.1 rad,but also completely eliminate the chattering of conventional sliding mode control and improve the robustness of system.The simulation results show the correctness and validity of this method.展开更多
近期碰撞调谐质量阻尼器(pounding tuned mass damper,简称PTMD)已经被提出来参与结构的振动控制.因为PTMD的碰撞过程主要由粘弹性材料与钢发生碰撞,所以其碰撞的力学模型是研究PTMD的关键因素.文章通过研究现有的粘弹性碰撞力模型,提...近期碰撞调谐质量阻尼器(pounding tuned mass damper,简称PTMD)已经被提出来参与结构的振动控制.因为PTMD的碰撞过程主要由粘弹性材料与钢发生碰撞,所以其碰撞的力学模型是研究PTMD的关键因素.文章通过研究现有的粘弹性碰撞力模型,提出了一种不同的非线性碰撞力模型来模拟粘弹性材料与钢之间的碰撞力.同时通过碰撞实验得到重要系数并用粒子群算法对模型各项参数进行拟合.结果表明,该模型比现有的粘弹性碰撞力模型具有更好的性能.展开更多
The inversions of complex geophysical data always solve multi-parameter, nonlinear, and multimodal optimization problems. Searching for the optimal inversion solutions is similar to the social behavior observed in swa...The inversions of complex geophysical data always solve multi-parameter, nonlinear, and multimodal optimization problems. Searching for the optimal inversion solutions is similar to the social behavior observed in swarms such as birds and ants when searching for food. In this article, first the particle swarm optimization algorithm was described in detail, and ant colony algorithm improved. Then the methods were applied to three different kinds of geophysical inversion problems： （1） a linear problem which is sensitive to noise, （2） a synchronous inversion of linear and nonlinear problems, and （3） a nonlinear problem. The results validate their feasibility and efficiency. Compared with the conventional genetic algorithm and simulated annealing, they have the advantages of higher convergence speed and accuracy. Compared with the quasi-Newton method and Levenberg-Marquardt method, they work better with the ability to overcome the locally optimal solutions.展开更多
基金supported by the 863 Program of China(No.2013AA064201)National Science and Technology Major Project(No.2016ZX05003-003)
文摘Various migration methods have been proposed to image high-angle geological structures and media with strong lateral velocity variations; however, the problems of low precision and high computational cost remain unresolved. To describe the seismic wave propagation in media with lateral velocity variations and to image high-angle structures, we propose the generalized screen propagator based on particle swarm optimization （PSO-GSP）, for the precise fitting of the single-square-root operator. We use the 2D SEG/EAGE salt model to test the proposed PSO-GSP migration method to image the faults beneath the salt dome and compare the results to those of the conventional high-order generalized screen propagator （GSP） migration and split-step Fourier （SSF） migration. Moreover, we use 2D marine data from the South China Sea to show that the PSO-GSP migration can better image strong reflectors than conventional imaging methods.
文摘开放电力市场环境下,以配电网公司的净收益最大为目标,建立了考虑运行策略及投资主体利益的电池储能系统(battery energy storage system,BESS)优化配置模型。配电网公司的净收益由在大量用户自建分布式电源的主动配电网中投资建设BESS的经济效益以及计入考虑循环寿命的BESS全寿命周期成本决定。其中,经济收益分为正常状态下的收益和系统故障过程的收益。同时通过设定追踪价格的上下限和最小的电池荷电状态,提出一种新的确定BESS运行策略的方法。优选智能单粒子群算法对该模型进行求解。以改进IEEE-33节点配电系统为例进行仿真验证,结果表明与固定的BESS运行策略相比,采用所提策略可获得更优的经济性,DG的类型与渗透率的大小对BESS的最优配置结果及经济收益有较大影响。
基金Project(51075289) supported by the National Natural Science Foundation of ChinaProject(20122014) supported by the Doctor Foundation of Taiyuan University of Science and Technology,China
文摘A new intelligent anti-swing control scheme,which combined fuzzy neural network(FNN) and sliding mode control(SMC) with particle swarm optimization(PSO),was presented for bridge crane.The outputs of three fuzzy neural networks were used to approach the uncertainties of the positioning subsystem,lifting-rope subsystem and anti-swing subsystem.Then,the parameters of the controller were optimized with PSO to enable the system to have good dynamic performances.During the process of high-speed load hoisting and dropping,this method can not only realize the accurate position of the trolley and eliminate the sway of the load in spite of existing uncertainties,and the maximum swing angle is only ±0.1 rad,but also completely eliminate the chattering of conventional sliding mode control and improve the robustness of system.The simulation results show the correctness and validity of this method.
文摘近期碰撞调谐质量阻尼器(pounding tuned mass damper,简称PTMD)已经被提出来参与结构的振动控制.因为PTMD的碰撞过程主要由粘弹性材料与钢发生碰撞,所以其碰撞的力学模型是研究PTMD的关键因素.文章通过研究现有的粘弹性碰撞力模型,提出了一种不同的非线性碰撞力模型来模拟粘弹性材料与钢之间的碰撞力.同时通过碰撞实验得到重要系数并用粒子群算法对模型各项参数进行拟合.结果表明,该模型比现有的粘弹性碰撞力模型具有更好的性能.
基金supported by the 973 Program(Grant No 2007CB209600)Open Fund(No.GDL0706) of the Key Laboratory of Geo-detection(China University of Geosciences,Beijing),Ministry of Education
文摘The inversions of complex geophysical data always solve multi-parameter, nonlinear, and multimodal optimization problems. Searching for the optimal inversion solutions is similar to the social behavior observed in swarms such as birds and ants when searching for food. In this article, first the particle swarm optimization algorithm was described in detail, and ant colony algorithm improved. Then the methods were applied to three different kinds of geophysical inversion problems： （1） a linear problem which is sensitive to noise, （2） a synchronous inversion of linear and nonlinear problems, and （3） a nonlinear problem. The results validate their feasibility and efficiency. Compared with the conventional genetic algorithm and simulated annealing, they have the advantages of higher convergence speed and accuracy. Compared with the quasi-Newton method and Levenberg-Marquardt method, they work better with the ability to overcome the locally optimal solutions.
