储能选型是储能参与新能源一次调频规划和设计的关键内容,涉及到安全性、一次调频适应性、经济性和环保性等多方面指标,是一个复杂的多目标决策问题。提出基于层次分析法(analytic hierarchy process,AHP)和逼近理想解排序方法(techniqu...储能选型是储能参与新能源一次调频规划和设计的关键内容,涉及到安全性、一次调频适应性、经济性和环保性等多方面指标,是一个复杂的多目标决策问题。提出基于层次分析法(analytic hierarchy process,AHP)和逼近理想解排序方法(technique for order preference by similarity to an ideal solution,TOPSIS)相结合的储能参与新能源一次调频选型方案。分析各个指标特征,构建两层决策体系。根据专家打分和实际应用需求,采用AHP法得到各个决策指标的权重,进一步采用TOPSIS法根据各指标的权重和相关参数对储能进行选型。最后,选取压缩空气、飞轮储能、磷酸铁锂电池和超级电容器等12种储能类型为案例进行分析,结果表明,磷酸铁锂电池在参与新能源一次调频应用场景中占有优势。该选型方案可以为储能参与新能源一次调频规划和设计提供一定的理论支撑。展开更多
Cloud data centers consume a multitude of power leading to the problem of high energy consumption. In order to solve this problem, an energy-efficient virtual machine(VM) consolidation algorithm named PVDE(prediction-...Cloud data centers consume a multitude of power leading to the problem of high energy consumption. In order to solve this problem, an energy-efficient virtual machine(VM) consolidation algorithm named PVDE(prediction-based VM deployment algorithm for energy efficiency) is presented. The proposed algorithm uses linear weighted method to predict the load of a host and classifies the hosts in the data center, based on the predicted host load, into four classes for the purpose of VMs migration. We also propose four types of VM selection algorithms for the purpose of determining potential VMs to be migrated. We performed extensive performance analysis of the proposed algorithms. Experimental results show that, in contrast to other energy-saving algorithms, the algorithm proposed in this work significantly reduces the energy consumption and maintains low service level agreement(SLA) violations.展开更多
针对影响海岛风浪互补电站产业化进程的选址决策问题,本文构建选址决策模型并提出求解算法,从而建立海岛风浪互补电站选址决策方法。本文构建海岛风浪互补电站选址决策模型并提出求解算法,从而建立海岛风浪互补电站选址决策方法。在权...针对影响海岛风浪互补电站产业化进程的选址决策问题,本文构建选址决策模型并提出求解算法,从而建立海岛风浪互补电站选址决策方法。本文构建海岛风浪互补电站选址决策模型并提出求解算法,从而建立海岛风浪互补电站选址决策方法。在权重求解算法中结合集体决策理论提出基于熵值法和特征向量法的组合权重法,有效降低传统主观赋权法的主观偏差。方案排序算法应用接近理想点法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)得出优先开发序列,确定最优场址。最后,以青岛市海岛风浪互补电站选址为例通过敏感性分析论证方法的鲁棒性、实用性与科学性。海岛风浪互补电站选址决策方法可以为中国海洋能电站微观选址提供理论支撑,推进中国海洋能的产业化进程。展开更多
文摘储能选型是储能参与新能源一次调频规划和设计的关键内容,涉及到安全性、一次调频适应性、经济性和环保性等多方面指标,是一个复杂的多目标决策问题。提出基于层次分析法(analytic hierarchy process,AHP)和逼近理想解排序方法(technique for order preference by similarity to an ideal solution,TOPSIS)相结合的储能参与新能源一次调频选型方案。分析各个指标特征,构建两层决策体系。根据专家打分和实际应用需求,采用AHP法得到各个决策指标的权重,进一步采用TOPSIS法根据各指标的权重和相关参数对储能进行选型。最后,选取压缩空气、飞轮储能、磷酸铁锂电池和超级电容器等12种储能类型为案例进行分析,结果表明,磷酸铁锂电池在参与新能源一次调频应用场景中占有优势。该选型方案可以为储能参与新能源一次调频规划和设计提供一定的理论支撑。
基金Projects(61572525,61272148)supported by the National Natural Science Foundation of ChinaProject(20120162110061)supported by the PhD Programs Foundation of Ministry of Education of China+1 种基金Project(CX2014B066)supported by the Hunan Provincial Innovation Foundation for Postgraduate,ChinaProject(2014zzts044)supported by the Fundamental Research Funds for the Central Universities,China
文摘Cloud data centers consume a multitude of power leading to the problem of high energy consumption. In order to solve this problem, an energy-efficient virtual machine(VM) consolidation algorithm named PVDE(prediction-based VM deployment algorithm for energy efficiency) is presented. The proposed algorithm uses linear weighted method to predict the load of a host and classifies the hosts in the data center, based on the predicted host load, into four classes for the purpose of VMs migration. We also propose four types of VM selection algorithms for the purpose of determining potential VMs to be migrated. We performed extensive performance analysis of the proposed algorithms. Experimental results show that, in contrast to other energy-saving algorithms, the algorithm proposed in this work significantly reduces the energy consumption and maintains low service level agreement(SLA) violations.
文摘针对影响海岛风浪互补电站产业化进程的选址决策问题,本文构建选址决策模型并提出求解算法,从而建立海岛风浪互补电站选址决策方法。本文构建海岛风浪互补电站选址决策模型并提出求解算法,从而建立海岛风浪互补电站选址决策方法。在权重求解算法中结合集体决策理论提出基于熵值法和特征向量法的组合权重法,有效降低传统主观赋权法的主观偏差。方案排序算法应用接近理想点法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)得出优先开发序列,确定最优场址。最后,以青岛市海岛风浪互补电站选址为例通过敏感性分析论证方法的鲁棒性、实用性与科学性。海岛风浪互补电站选址决策方法可以为中国海洋能电站微观选址提供理论支撑,推进中国海洋能的产业化进程。
