The hybrid flow shop scheduling problem with unrelated parallel machine is a typical NP-hard combinatorial optimization problem, and it exists widely in chemical, manufacturing and pharmaceutical industry. In this wor...The hybrid flow shop scheduling problem with unrelated parallel machine is a typical NP-hard combinatorial optimization problem, and it exists widely in chemical, manufacturing and pharmaceutical industry. In this work, a novel mathematic model for the hybrid flow shop scheduling problem with unrelated parallel machine(HFSPUPM) was proposed. Additionally, an effective hybrid estimation of distribution algorithm was proposed to solve the HFSPUPM, taking advantage of the features in the mathematic model. In the optimization algorithm, a new individual representation method was adopted. The(EDA) structure was used for global search while the teaching learning based optimization(TLBO) strategy was used for local search. Based on the structure of the HFSPUPM, this work presents a series of discrete operations. Simulation results show the effectiveness of the proposed hybrid algorithm compared with other algorithms.展开更多
直流潮流控制器是解决环网式直流配电网的线路潮流不完全可控的有效技术手段。然而,现有方法未能充分发掘其在故障限流中的潜力。该文建立了三有源桥串并联潮流控制器(triple active bridge power flow controller,TAB-PFC)的故障模量...直流潮流控制器是解决环网式直流配电网的线路潮流不完全可控的有效技术手段。然而,现有方法未能充分发掘其在故障限流中的潜力。该文建立了三有源桥串并联潮流控制器(triple active bridge power flow controller,TAB-PFC)的故障模量分析模型,提出一种基于TAB-PFC的双极直流配电网主动限流策略。首先阐述了TAB-PFC的限流原理,提出基于TAB-PFC的主动限流控制策略。然后对TAB-PFC不同故障阶段进行建模,并计及极间互感构建含TAB-PFC的双极直流配电网故障模量等效模型。在此基础上,分析不同参数对TAB-PFC的限流能力的影响,为其参数选取提供依据。在MATLAB/Simulink搭建了含TAB-PFC的双极直流配电网模型,验证了所提主动限流策略的有效性及故障等效电路模型和参数分析的正确性。展开更多
传统下垂控制策略忽略了储能系统的健康状态(state of health,SOH),无法保证SOH的均衡,甚至可能加剧SOH的差异。为了确保直流微电网的稳定运行并维持储能系统内部的功率平衡,需要结合储能模块的健康状态(SOH),制定并联储能系统的控制策...传统下垂控制策略忽略了储能系统的健康状态(state of health,SOH),无法保证SOH的均衡,甚至可能加剧SOH的差异。为了确保直流微电网的稳定运行并维持储能系统内部的功率平衡,需要结合储能模块的健康状态(SOH),制定并联储能系统的控制策略。本工作在现有下垂控制策略基础上提出了一种计及SOH的改进下垂法作为并联储能系统控制策略,并且引入了二次补偿环节减少母线压降,建立了改进下垂控制模型,探究了采用二次补偿环节维持系统电压稳定方面的有效性和幂指数n对功率平衡速度的影响,通过MATLAB/Simulink仿真证明了该策略在全钒液流电池并联储能系统中的有效性,为提升直流微网储能系统管理的准确性和效率提供了有效途径。展开更多
基金Projects(61573144,61773165,61673175,61174040)supported by the National Natural Science Foundation of ChinaProject(222201717006)supported by the Fundamental Research Funds for the Central Universities,China
文摘The hybrid flow shop scheduling problem with unrelated parallel machine is a typical NP-hard combinatorial optimization problem, and it exists widely in chemical, manufacturing and pharmaceutical industry. In this work, a novel mathematic model for the hybrid flow shop scheduling problem with unrelated parallel machine(HFSPUPM) was proposed. Additionally, an effective hybrid estimation of distribution algorithm was proposed to solve the HFSPUPM, taking advantage of the features in the mathematic model. In the optimization algorithm, a new individual representation method was adopted. The(EDA) structure was used for global search while the teaching learning based optimization(TLBO) strategy was used for local search. Based on the structure of the HFSPUPM, this work presents a series of discrete operations. Simulation results show the effectiveness of the proposed hybrid algorithm compared with other algorithms.
文摘直流潮流控制器是解决环网式直流配电网的线路潮流不完全可控的有效技术手段。然而,现有方法未能充分发掘其在故障限流中的潜力。该文建立了三有源桥串并联潮流控制器(triple active bridge power flow controller,TAB-PFC)的故障模量分析模型,提出一种基于TAB-PFC的双极直流配电网主动限流策略。首先阐述了TAB-PFC的限流原理,提出基于TAB-PFC的主动限流控制策略。然后对TAB-PFC不同故障阶段进行建模,并计及极间互感构建含TAB-PFC的双极直流配电网故障模量等效模型。在此基础上,分析不同参数对TAB-PFC的限流能力的影响,为其参数选取提供依据。在MATLAB/Simulink搭建了含TAB-PFC的双极直流配电网模型,验证了所提主动限流策略的有效性及故障等效电路模型和参数分析的正确性。
文摘传统下垂控制策略忽略了储能系统的健康状态(state of health,SOH),无法保证SOH的均衡,甚至可能加剧SOH的差异。为了确保直流微电网的稳定运行并维持储能系统内部的功率平衡,需要结合储能模块的健康状态(SOH),制定并联储能系统的控制策略。本工作在现有下垂控制策略基础上提出了一种计及SOH的改进下垂法作为并联储能系统控制策略,并且引入了二次补偿环节减少母线压降,建立了改进下垂控制模型,探究了采用二次补偿环节维持系统电压稳定方面的有效性和幂指数n对功率平衡速度的影响,通过MATLAB/Simulink仿真证明了该策略在全钒液流电池并联储能系统中的有效性,为提升直流微网储能系统管理的准确性和效率提供了有效途径。
文摘顺序任务流(sequential task flow,STF)将对共享数据的访问表示为任务之间的依赖关系,STF运行时系统通过任务构造、依赖分析和任务依赖图(task dependence graph,TDG)生成、任务调度实现异步并行,这3个环节的开销直接影响并行程序的性能.目前以STF为核心的AceMesh运行时系统,在SW39000处理器上仅使用单主核构图、多从核执行的方式.然而,SW39000处理器离散访存性能较弱,细粒度任务构图离散访存增多,构图更容易成为瓶颈.对此,提出了一种利用多从核辅助主核进行构图的算法.首先,分析在依赖分析和TDG生成过程中的并行性,在SW39000处理器上实现了一种基于胖任务依赖图(fatTDG)的多核辅助并行构图算法PFBH(parallelized fatTDG building algorithm with helpers)并进行优化.其次,针对线程间的主存资源竞争问题,提出构图与执行并行中从核资源调节方法及参数选择.最终,在5类典型应用下进行实验测试.与单核串行构图系统相比,在细粒度任务场景下最高加速为1.75倍;与SW39000处理器上的OpenACC模型相比,AceMesh最高可达2倍加速.
