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A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system usingenergy filter algorithm

Aeidapu MAHESH, Kanwarjit Singh SANDHU

《能源前沿(英文)》 2020年 第14卷 第1期   页码 139-151 doi: 10.1007/s11708-017-0484-4

摘要: In this paper, the genetic algorithm (GA) is applied to optimize a grid connected solar photovoltaic (PV)-wind-battery hybrid system using a novel energy filter algorithm. The main objective of this paper is to minimize the total cost of the hybrid system, while maintaining its reliability. Along with the reliability constraint, some of the important parameters, such as full utilization of complementary nature of PV and wind systems, fluctuations of power injected into the grid and the battery’s state of charge (SOC), have also been considered for the effective sizing of the hybrid system. A novel energy filter algorithm for smoothing the power injected into the grid has been proposed. To validate the proposed method, a detailed case study has been conducted. The results of the case study for different cases, with and without employing the energy filter algorithm, have been presented to demonstrate the effectiveness of the proposed sizing strategy.

关键词: PV-wind-battery hybrid system     size optimization     genetic algorithm    

An improved algorithm for McDowell’s analytical model of residual stress

null

《机械工程前沿(英文)》 2014年 第9卷 第2期   页码 150-155 doi: 10.1007/s11465-014-0295-9

摘要:

The analytical model for two-dimensional elastoplastic rolling/sliding contact proposed by McDowell is an important tool for predicting residual stress in rolling/sliding processes. In application of the model, a problem of low predicting precision near the surface layer of the component is found. According to the volume-constancy of plastic deformation, an improved algorithm for McDowell’s model is proposed in order to improve its predicting accuracy of the surface residual stress. In the algorithm, a relationship between three normal stresses perpendicular to each other at any point within the component is derived, and the relationship is applied to McDowell’s model. Meanwhile, an unnecessary hypothesis proposed by McDowell can be eliminated to make the model more reasonable. The simulation results show that the surface residual stress predicted by modified method is much closer to the FEM results than the results predicted by McDowell’s model under the same simulation conditions.

关键词: residual stress     McDowell’s model     volume-constancy of plastic deformation     FEM     elastoplastic rolling/sliding contact    

Cluster voltage control method for “Whole County” distributed photovoltaics based on improved differentialevolution algorithm

《能源前沿(英文)》   页码 782-795 doi: 10.1007/s11708-023-0905-8

摘要: China is vigorously promoting the “whole county promotion” of distributed photovoltaics (DPVs). However, the high penetration rate of DPVs has brought problems such as voltage violation and power quality degradation to the distribution network, seriously affecting the safety and reliability of the power system. The traditional centralized control method of the distribution network has the problem of low efficiency, which is not practical enough in engineering practice. To address the problems, this paper proposes a cluster voltage control method for distributed photovoltaic grid-connected distribution network. First, it partitions the distribution network into clusters, and different clusters exchange terminal voltage information through a “virtual slack bus.” Then, in each cluster, based on the control strategy of “reactive power compensation first, active power curtailment later,” it employs an improved differential evolution (IDE) algorithm based on Cauchy disturbance to control the voltage. Simulation results in two different distribution systems show that the proposed method not only greatly improves the operational efficiency of the algorithm but also effectively controls the voltage of the distribution network, and maximizes the consumption capacity of DPVs based on qualified voltage.

关键词: distributed photovoltaics (DPVs)     cluster partitioning     improved differential evolution algorithm     voltage control     consumption capacity of distributed photovoltaics    

An improved low-complexity sum-product decoding algorithm for low-density parity-check codes

Michaelraj Kingston ROBERTS,Ramesh JAYABALAN

《信息与电子工程前沿(英文)》 2015年 第16卷 第6期   页码 511-518 doi: 10.1631/FITEE.1400269

摘要: In this paper, an improved low-complexity sum-product decoding algorithm is presented for low-density parity-check (LDPC) codes. In the proposed algorithm, reduction in computational complexity is achieved by utilizing fast Fourier transform (FFT) with time shift in the check node process. The improvement in the decoding performance is achieved by utilizing an optimized integer constant in the variable node process. Simulation results show that the proposed algorithm achieves an overall coding gain improvement ranging from 0.04 to 0.46 dB. Moreover, when compared with the sum-product algorithm (SPA), the proposed decoding algorithm can achieve a reduction of 42%-67% of the total number of arithmetic operations required for the decoding process.

关键词: Computational complexity     Coding gain     Fast Fourier transform (FFT)     Low-density parity-check (LDPC) codes     Sum-product algorithm (SPA)    

Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

《机械工程前沿(英文)》 2010年 第5卷 第3期   页码 353-355 doi: 10.1007/s11465-010-0098-6

摘要: According to the characteristics of the movement of a special-purpose three-axis servo platform, this paper presents an improved grey prediction proportional integral derivative (PID) control algorithm. Different weights at different time are given to different sampling moments in the algorithm, and the time meanings of the sample data are paid more attention. Simulation results show that the performance of response and stability of the platform of the improved algorithm is better than that of the traditional one. The control algorithm meets all requirements of the control system of the special-purpose three-axis servo platform.

关键词: grey prediction     proportional integral derivative (PID) control     improved algorithm     weight     servo platform    

An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

《机械工程前沿(英文)》 2019年 第14卷 第2期   页码 241-253 doi: 10.1007/s11465-018-0518-6

摘要: Two-sided assembly line is usually used for the assembly of large products such as cars, buses, and trucks. With the development of technical progress, the assembly line needs to be reconfigured and the cycle time of the line should be optimized to satisfy the new assembly process. Two-sided assembly line balancing with the objective of minimizing the cycle time is called TALBP-2. This paper proposes an improved artificial bee colony (IABC) algorithm with the MaxTF heuristic rule. In the heuristic initialization process, the MaxTF rule defines a new task’s priority weight. On the basis of priority weight, the assignment of tasks is reasonable and the quality of an initial solution is high. In the IABC algorithm, two neighborhood strategies are embedded to balance the exploitation and exploration abilities of the algorithm. The employed bees and onlooker bees produce neighboring solutions in different promising regions to accelerate the convergence rate. Furthermore, a well-designed random strategy of scout bees is developed to escape local optima. The experimental results demonstrate that the proposed MaxTF rule performs better than other heuristic rules, as it can find the best solution for all the 10 test cases. A comparison of the IABC algorithm and other algorithms proves the effectiveness of the proposed IABC algorithm. The results also denote that the IABC algorithm is efficient and stable in minimizing the cycle time for the TALBP-2, and it can find 20 new best solutions among 25 large-sized problem cases.

关键词: two-sided assembly line balancing problem     artificial bee colony algorithm     heuristic rules     time boundary    

operation of energy at hydrothermal power plants by simultaneous minimization of pollution and costs using improvedABC algorithm

Homayoun EBRAHIMIAN,Bahman TAHERI,Nasser YOUSEFI

《能源前沿(英文)》 2015年 第9卷 第4期   页码 426-432 doi: 10.1007/s11708-015-0376-4

摘要: The aim of this paper is simultaneous minimization of hydrothermal units to reach the best solution by employing an improved artificial bee colony (ABC) algorithm in a multi-objective function consisting of economic dispatch (ED) considering the valve-point effect and pollution function in power systems in view of the hot water of the hydro system. In this type of optimization problem, all practical constraints of units were taken into account as much as possible in order to comply with the reality. These constraints include the maximum and minimum output power of units, the constraints caused by the balance between supply and demand, the impact of pollution, water balance, uneven production curve considering the valve-point effect and system losses. The proposed algorithm is applied on the studied system, and the obtained results indifferent operating conditions are analyzed. To investigate in various operating conditions, different load profiles in 12 h are taken into account. The obtained results are compared with those of the other methods including the genetic algorithm (GA), the Basu technique, and the improved genetic algorithm. Fast convergence is one of this improved algorithm features.

关键词: practical constraints of units     pollution function     inlet steam valve     up-ramp rate of units     improved ABC algorithm    

Branch-pipe-routing approach for ships using improved genetic algorithm

Haiteng SUI,Wentie NIU

《机械工程前沿(英文)》 2016年 第11卷 第3期   页码 316-323 doi: 10.1007/s11465-016-0384-z

摘要:

Branch-pipe routing plays fundamental and critical roles in ship-pipe design. The branch-pipe-routing problem is a complex combinatorial optimization problem and is thus difficult to solve when depending only on human experts. A modified genetic-algorithm-based approach is proposed in this paper to solve this problem. The simplified layout space is first divided into three-dimensional (3D) grids to build its mathematical model. Branch pipes in layout space are regarded as a combination of several two-point pipes, and the pipe route between two connection points is generated using an improved maze algorithm. The coding of branch pipes is then defined, and the genetic operators are devised, especially the complete crossover strategy that greatly accelerates the convergence speed. Finally, simulation tests demonstrate the performance of proposed method.

关键词: branch pipe     ship industry     piping system     optimization algorithm    

Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improvedBayesian-Markov chain Monte Carlo algorithm

《环境科学与工程前沿(英文)》 2023年 第17卷 第7期 doi: 10.1007/s11783-023-1685-1

摘要:

● A hydrodynamic-Bayesian inference model was developed for water pollution tracking.

关键词: Identification of pollution sources     Water quality restoration     Bayesian inference     Hydrodynamic model     Inverse problem    

Improved genetic algorithm and its application to determination of critical slip surface with arbitrary

LI Liang, CHI Shichun, LIN Gao, CHENG Yungming

《结构与土木工程前沿(英文)》 2008年 第2卷 第2期   页码 145-150 doi: 10.1007/s11709-008-0016-8

摘要: In order to overcome the problem of being trapped by the local minima encountered in applying the simple genetic algorithm (GA) to search the critical slip surface of the slope, an improved procedure based on the harmony search algorithm is proposed. In the searching computation, the new solutions are obtained from the whole information of the current generation. The proposed method may be applied to calculate the minimum factors of safety of two complicated soil slopes. Comparison of the results with existing examples given by other authors has shown that the proposed method is feasible for stability analysis of soil slopes.

关键词: information     algorithm     Comparison     generation     feasible    

一种改进BP算法在机械手逆运动学中的应用

吴爱国,郝润生

《中国工程科学》 2005年 第7卷 第7期   页码 34-38

摘要:

通过对传统BP算法的分析,提出了一种改进激励函数的学习方法,并且在神经网络的每一层采用不同的学习速率,以提高训练速度;采用所提出的改进BP算法,训练多层前向神经网络,建立机械手逆运动学模型,仿真结果表明了该算法的有效性;与传统BP算法相比,大大提高了机械手逆运动学的精度。

关键词: 神经网络     BP算法     激励函数     机械手     逆运动学    

一种BP神经网络的改进方法及其应用

李宏刚,吕辉,李刚

《中国工程科学》 2005年 第7卷 第5期   页码 63-65

摘要:

针对BP神经网络中学习因子取值小、收敛性好但训练时间长,学习因子取值大、权值变化剧烈但可能导致振荡的情况,提出了一种修正学习因子的方法,即给学习因子前加一比例因子,在网络权值调整过程中自动调整学习因子的大小,使网络训练时间短,而且收敛效果较好。仿真结果表明,在导弹指令跟踪中,改进算法比原来算法优越得多。

关键词: 神经网络     改进算法     仿真    

一种改进的Hilbert能量谱算法研究

杨建文,贾民平,许飞云,胡建中

《中国工程科学》 2005年 第7卷 第7期   页码 55-59

摘要:

分析了HHT中Hilbert能量谱的原理;研究了瞬时频率谱中端点效应产生的原因,将ARMA模型应用于Hilbert能量谱计算中,以旋转机械振动信号为对象,运用所提的方法对HHT中典型的本征模式函数进行仿真实验;通过与传统方法比较,证明它可以有效地改进端点效应,优化Hilbert能量谱。

关键词: Hilbert变换     端点失真     瞬时参数     本征模式函数    

一种改进的果蝇优化算法及其在旅行商问题求解中的应用 Article

Lan HUANG, Gui-chao WANG, Tian BAI, Zhe WANG

《信息与电子工程前沿(英文)》 2017年 第18卷 第10期   页码 1525-1533 doi: 10.1631/FITEE.1601364

摘要: 旅行商问题(traveling salesman problem, TSP)是经典的NP(non-deterministic polynomial)难问题,在实际工程中有许多应用。而果蝇优化算法作为一种用于求解TSP问题的新群智能算法,具有易于理解、实现简单等优点。然而,该算法收敛速度慢、易陷入局部最优,从而导致寻优精度不高。为了有效求解TSP问题,本文提出了三种改进方法,以优化果蝇算法在TSP求解中的应用。一是,更加注重果蝇觅食行为中的视觉搜索能力,从而增强果蝇算法的收敛能力;二是,在果蝇优化算法中融入了淘汰机制以增加种群多样性;三是,提出了逆序操作算子和乘法操作算子,并将这两种基本操作算子运用到果蝇算法求解TSP问题上。本文对TSPLIB中的10个算例进行仿真实验,并与其它算法的实验结果进行对比,结果证明该算法不仅收敛速度快,而且寻优精度高。

关键词: 旅行商问题;果蝇优化算法;淘汰机制;视觉搜索;操作算子    

含高温储能系统的微电网经济运行研究

罗 毅,张丽娟

《中国工程科学》 2015年 第17卷 第1期   页码 74-80

摘要:

高温储能系统以其高效、环保、节能等优点而有着广泛的应用前景,含高温储能系统的微电网经济运行日益引起关注。文中对高温储能系统、风机、光伏电池、蓄电池、微型燃气轮机以及燃料电池组成的微电网进行分析研究,在分时电价以及微网并网运行的环境下,基于各电源功率特性,建立了高温储能系统模型及微网经济运行模型。运用改进免疫粒子群算法进行模型求解,现场应用验证了其有效性,结果表明文中方法可使微网动态运行整体达到最优,高温储能系统参与热负荷供应,可以节省成本,具有显著的经济效益。

关键词: 高温储能系统;微电网;经济运行;优化调度;免疫粒子群算法    

标题 作者 时间 类型 操作

A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system usingenergy filter algorithm

Aeidapu MAHESH, Kanwarjit Singh SANDHU

期刊论文

An improved algorithm for McDowell’s analytical model of residual stress

null

期刊论文

Cluster voltage control method for “Whole County” distributed photovoltaics based on improved differentialevolution algorithm

期刊论文

An improved low-complexity sum-product decoding algorithm for low-density parity-check codes

Michaelraj Kingston ROBERTS,Ramesh JAYABALAN

期刊论文

Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

期刊论文

An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

期刊论文

operation of energy at hydrothermal power plants by simultaneous minimization of pollution and costs using improvedABC algorithm

Homayoun EBRAHIMIAN,Bahman TAHERI,Nasser YOUSEFI

期刊论文

Branch-pipe-routing approach for ships using improved genetic algorithm

Haiteng SUI,Wentie NIU

期刊论文

Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improvedBayesian-Markov chain Monte Carlo algorithm

期刊论文

Improved genetic algorithm and its application to determination of critical slip surface with arbitrary

LI Liang, CHI Shichun, LIN Gao, CHENG Yungming

期刊论文

一种改进BP算法在机械手逆运动学中的应用

吴爱国,郝润生

期刊论文

一种BP神经网络的改进方法及其应用

李宏刚,吕辉,李刚

期刊论文

一种改进的Hilbert能量谱算法研究

杨建文,贾民平,许飞云,胡建中

期刊论文

一种改进的果蝇优化算法及其在旅行商问题求解中的应用

Lan HUANG, Gui-chao WANG, Tian BAI, Zhe WANG

期刊论文

含高温储能系统的微电网经济运行研究

罗 毅,张丽娟

期刊论文