Load frequency control plays a vital role in power system operation and control. LFC regulates the frequency of larger interconnected power systems and keeps the net interchange of power between the pool members at pr...Load frequency control plays a vital role in power system operation and control. LFC regulates the frequency of larger interconnected power systems and keeps the net interchange of power between the pool members at predetermined values for the corresponding changes in load demand. In this paper, the two-area, hydrothermal deregulated power system is considered with Redox Flow Batteries (RFB) in both the areas. RFB is an energy storage device, which converts electrical energy into chemical energy, that is used to meet the sudden requirement of real power load and hence very effective in reducing the peak shoots. With conventional proportional-integral (PI) controller, it is difficult to get the optimum solution. Hence, intelligent techniques are used to tune the PI controller of the LFC to improve the dynamic response. In the family of intelligent techniques, a recent nature inspired algorithm called the Flower Pollination Algorithm (FPA) gives the global minima solution. The optimal value of the controller is determined by minimizing the ISE. The results show that the proposed FPA tuned PI controller improves the dynamic response of the deregulated system faster than the PI controller for different cases. The simulation is implemented in MATLAB environment.展开更多
为解决AI并发数据流中计算节点负载失衡问题,本文利用数据流的周期性特征,提出了一种基于负载阈值的双模态负载均衡算法。在低负载场景下,采用基于优劣解距离法(Technique for Order Perference by similarity to Ideal Solution,TOPSIS...为解决AI并发数据流中计算节点负载失衡问题,本文利用数据流的周期性特征,提出了一种基于负载阈值的双模态负载均衡算法。在低负载场景下,采用基于优劣解距离法(Technique for Order Perference by similarity to Ideal Solution,TOPSIS)的静态分配算法,通过整合CPU利用率、内存占用率、网络带宽等关键指标,量化计算节点的静态性能,并依据此量化结果进行数据流分配,同时还确定了触发动态策略的负载转换阈值;在高负载场景下,启用基于改进遗传算法的动态优化算法:通过引入迭代状态自适应的概率操作机制,动态调整交叉概率与变异概率,构建了以计算节点集群的负载均衡度和平均总时延为优化目标的效用函数模型。实验结果表明,基于负载阈值的双模态负载均衡算法显著提升了计算节点间的负载均衡性,并优化了系统整体性能。展开更多
依托软件定义网络(software defined networking,SDN)管控解耦的优势为数据中心网络(data center network,DCN)设计载荷调度算法,以降低随机突发数据流引发全网链路拥塞的风险。算法首先基于软件定义数据中心网络(software defined data...依托软件定义网络(software defined networking,SDN)管控解耦的优势为数据中心网络(data center network,DCN)设计载荷调度算法,以降低随机突发数据流引发全网链路拥塞的风险。算法首先基于软件定义数据中心网络(software defined data center network,SD-DCN)拓扑结构开展逻辑功能结构化设计,然后构建基于流属性的识别机制和载荷度门限机制以确定基于差异化的流调度时机。同时引入方案评估机制和对比机制并遍历全网可用资源,最终为数据流提供个性化的流量调度方案。测试结果表明,载荷调度算法在各项服务质量(quality of service,QoS)指标考察中均表现出相对优势,验证了该算法在应对不同属性数据流调度方面能够发挥出自适应优化成效。展开更多
文摘Load frequency control plays a vital role in power system operation and control. LFC regulates the frequency of larger interconnected power systems and keeps the net interchange of power between the pool members at predetermined values for the corresponding changes in load demand. In this paper, the two-area, hydrothermal deregulated power system is considered with Redox Flow Batteries (RFB) in both the areas. RFB is an energy storage device, which converts electrical energy into chemical energy, that is used to meet the sudden requirement of real power load and hence very effective in reducing the peak shoots. With conventional proportional-integral (PI) controller, it is difficult to get the optimum solution. Hence, intelligent techniques are used to tune the PI controller of the LFC to improve the dynamic response. In the family of intelligent techniques, a recent nature inspired algorithm called the Flower Pollination Algorithm (FPA) gives the global minima solution. The optimal value of the controller is determined by minimizing the ISE. The results show that the proposed FPA tuned PI controller improves the dynamic response of the deregulated system faster than the PI controller for different cases. The simulation is implemented in MATLAB environment.
文摘为解决AI并发数据流中计算节点负载失衡问题,本文利用数据流的周期性特征,提出了一种基于负载阈值的双模态负载均衡算法。在低负载场景下,采用基于优劣解距离法(Technique for Order Perference by similarity to Ideal Solution,TOPSIS)的静态分配算法,通过整合CPU利用率、内存占用率、网络带宽等关键指标,量化计算节点的静态性能,并依据此量化结果进行数据流分配,同时还确定了触发动态策略的负载转换阈值;在高负载场景下,启用基于改进遗传算法的动态优化算法:通过引入迭代状态自适应的概率操作机制,动态调整交叉概率与变异概率,构建了以计算节点集群的负载均衡度和平均总时延为优化目标的效用函数模型。实验结果表明,基于负载阈值的双模态负载均衡算法显著提升了计算节点间的负载均衡性,并优化了系统整体性能。
文摘依托软件定义网络(software defined networking,SDN)管控解耦的优势为数据中心网络(data center network,DCN)设计载荷调度算法,以降低随机突发数据流引发全网链路拥塞的风险。算法首先基于软件定义数据中心网络(software defined data center network,SD-DCN)拓扑结构开展逻辑功能结构化设计,然后构建基于流属性的识别机制和载荷度门限机制以确定基于差异化的流调度时机。同时引入方案评估机制和对比机制并遍历全网可用资源,最终为数据流提供个性化的流量调度方案。测试结果表明,载荷调度算法在各项服务质量(quality of service,QoS)指标考察中均表现出相对优势,验证了该算法在应对不同属性数据流调度方面能够发挥出自适应优化成效。
