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    • 13. 发明申请
    • MANAGEMENT OF A VIRTUAL POWER INFRASTRUCTURE
    • 虚拟电力基础设施管理
    • US20110307110A1
    • 2011-12-15
    • US12813012
    • 2010-06-10
    • Ratnesh Kumar SharmaAmip J. ShahCullen E. BashChih C. ShihChandrakant Patel
    • Ratnesh Kumar SharmaAmip J. ShahCullen E. BashChih C. ShihChandrakant Patel
    • G06F1/26
    • G06F1/26
    • A virtual power infrastructure for managing distribution of power to a plurality of power demanding units from a plurality of power generators includes a demand manager having logical descriptions of the power demanding units, in which the demand manager is configured to determine power load demands of the power demanding units using the logical descriptions of the power demanding units, and a capacity manager having logical descriptions of the power generators. The capacity manager is configured to determine allocation of power capacity supplied to the power generators from one or more of the power generators to meet the power load demands of the power demanding units, while satisfying one or more predetermined constraints associated with at least one of the power demanding units and the power generators.
    • 用于管理来自多个发电机的多个功率需求单元的电力分配的虚拟电力基础设施包括具有对功率需求单元的逻辑描述的需求管理器,其中需求管理器被配置为确定电力的功率负载需求 使用功率要求单元的逻辑描述的要求苛刻的单元,以及具有发电机的逻辑描述的容量管理器。 容量管理器被配置为确定从一个或多个发电机提供给发电机的功率容量的分配,以满足功率需求单元的功率负载需求,同时满足与至少一个功率发生器相关联的一个或多个预定约束 电力要求单位和发电机。
    • 17. 发明申请
    • COOLING RESOURCE CAPACITY ALLOCATION USING LAGRANGE MULTIPLIERS
    • 使用LAGRANGE MULTIPLIERS冷却资源容量分配
    • US20090327012A1
    • 2009-12-31
    • US12430303
    • 2009-04-27
    • Ratnesh Kumar SharmaAmip J. ShahCullen E. BashChandrakant Patel
    • Ratnesh Kumar SharmaAmip J. ShahCullen E. BashChandrakant Patel
    • G06Q10/00G06N5/02G06Q50/00
    • G06Q10/04G06Q10/06315
    • In a method of determining cooling resource capacity allocations for resource units in a shared environment for optimized operations, cost parameters associated with operating the resource units in at least one of delivering and receiving cooling resources are identified, one or more constraints associated with operating the resource units are identified, in which at least one of the one or more constraints comprises meeting at least a total cooling demand of components in the shared environment, a cost function that correlates the plurality of identified cost parameters is developed, a minimized cost function is solved for through application of a Lagrange multiplier subject to the identified one or more constraints, and cooling resource capacity allocations for the resource units that result in optimized operations in the shared environment based upon the minimized cost function solution are determined.
    • 在用于确定用于优化的操作的共享环境中的资源单元的冷却资源容量分配的方法中,识别与传送和接收冷却资源中的至少一个中的资源单元相关联的成本参数,与操作资源相关联的一个或多个约束 识别单元,其中所述一个或多个约束中的至少一个约束包括满足共享环境中的组件的至少总冷却需求,开发关联多个所识别的成本参数的成本函数,解决最小化成本函数 用于通过应用所识别的一个或多个约束的拉格朗日乘数,并且基于最小化成本函数解决方案来确定导致在共享环境中的优化操作的资源单元的资源容量分配。