公开(公告)号：US20120185106A1

公开(公告)日：2012-07-19

申请号：US13085049

申请日：2011-04-12

申请人： Soumyadip Ghosh ,  Jayant R. Kalagnanam ,  Dmitriy A. Katz-Rogozhnikov ,  Mark S. Squillante ,  Xiaoxuan Zhang

发明人： Soumyadip Ghosh ,  Jayant R. Kalagnanam ,  Dmitriy A. Katz-Rogozhnikov ,  Mark S. Squillante ,  Xiaoxuan Zhang

IPC分类号： G06F1/28

CPC分类号： G06Q10/04 ,  G06Q50/06 ,  Y04S10/54 ,  Y04S50/00

摘要： System and method of solving, in a single-period, an optimal dispatching problem for a network of energy generators connected via multiple transmission lines, where it is sought to find the lowest operational cost of dispatching of various energy sources to satisfy demand. The model includes traditional thermal resources and renewable energy resources available generation capabilities within the grid. The method considers demand reduction as a virtual generation source that can be dispatched quickly to hedge against the risk of unforeseen shortfall in supply. Demand reduction is dispatched in response to incentive signals sent to consumers. The control options of the optimization model consist of the dispatching order and dispatching amount energy units at generators together with the rebate signals sent to end-users at each node of the network under a demand response policy. Numerical experiments based on an analysis of representative data illustrate the effectiveness of demand response as a hedging option.

摘要翻译： 在单周期内，通过多条传输线路连接的能量发电网络的最佳调度问题解决的系统和方法，寻求各种能源调度的最低运行成本来满足需求。 该模型包括传统热源和可再生能源在电网内的可用发电能力。 该方法将减少需求视为可以迅速发布的虚拟世代源，以防止供不应求的短缺风险。 减少需求是为了响应向消费者发出的激励信号。 优化模型的控制选项包括发电机的调度顺序和调度量能量单元，以及根据需求响应策略在网络的每个节点处发送给终端用户的回扣信号。 基于代表性数据分析的数值实验表明需求响应的有效性作为对冲选项。

公开(公告)号：US08626353B2

公开(公告)日：2014-01-07

申请号：US13085049

申请日：2011-04-12

申请人： Soumyadip Ghosh ,  Jayant R. Kalagnanam ,  Dmitriy A. Katz-Rogozhnikov ,  Mark S. Squillante ,  Xiaoxuan Zhang

发明人： Soumyadip Ghosh ,  Jayant R. Kalagnanam ,  Dmitriy A. Katz-Rogozhnikov ,  Mark S. Squillante ,  Xiaoxuan Zhang

IPC分类号： G05D3/12 ,  G05D13/02 ,  G06F17/50 ,  G06F7/48 ,  G06Q10/00 ,  G06Q40/00

CPC分类号： G06Q10/04 ,  G06Q50/06 ,  Y04S10/54 ,  Y04S50/00

摘要： System and method of solving, in a single-period, an optimal dispatching problem for a network of energy generators connected via multiple transmission lines, where it is sought to find the lowest operational cost of dispatching of various energy sources to satisfy demand. The model includes traditional thermal resources and renewable energy resources available generation capabilities within the grid. The method considers demand reduction as a virtual generation source that can be dispatched quickly to hedge against the risk of unforeseen shortfall in supply. Demand reduction is dispatched in response to incentive signals sent to consumers. The control options of the optimization model consist of the dispatching order and dispatching amount energy units at generators together with the rebate signals sent to end-users at each node of the network under a demand response policy. Numerical experiments based on an analysis of representative data illustrate the effectiveness of demand response as a hedging option.

摘要翻译： 在单周期内，通过多条传输线路连接的能量发电网络的最佳调度问题解决的系统和方法，寻求各种能源调度的最低运行成本来满足需求。 该模型包括传统热源和可再生能源在电网内的可用发电能力。 该方法将减少需求视为可以迅速发布的虚拟世代源，以防止供不应求的短缺风险。 减少需求是为了响应向消费者发出的激励信号。 优化模型的控制选项包括发电机的调度顺序和调度量能量单元，以及根据需求响应策略在网络的每个节点处发送给终端用户的回扣信号。 基于代表性数据分析的数值实验表明需求响应的有效性作为对冲选项。

公开(公告)号：US20120078687A1

公开(公告)日：2012-03-29

申请号：US12890119

申请日：2010-09-24

申请人： Soumyadip Ghosh ,  Jayant R. Kalagnanam ,  Dmitriy A. Katz-Rogozhnikov ,  Mark S. Squillante ,  Xiaoxuan Zhang

发明人： Soumyadip Ghosh ,  Jayant R. Kalagnanam ,  Dmitriy A. Katz-Rogozhnikov ,  Mark S. Squillante ,  Xiaoxuan Zhang

IPC分类号： G06Q30/00 ,  G06F17/00

CPC分类号： G06Q30/0207 ,  G06Q50/06

摘要： A method, apparatus and computer program product for determining lowest cost aggregate energy demand reduction at multiple network levels such as distribution and feeder networks. An algorithm for an optimal incentive mechanism offered to energy customers (e.g. of a utility power entity) that accounts for heterogeneous customer flexibility in load reduction, with the demand response realized via the utility's rebate signal and, accounts for temporal aspects of demand shift in response for rebates. A mathematical formulation of a cost minimization problem is solved to provide incentives for customers to reduce their demand. A gradient descent algorithm is used to solve for the optimal incentives customized for individual end users.

摘要翻译： 一种用于确定多个网络级别（例如分配和馈线网络）的最低成本总体能量需求减少的方法，装置和计算机程序产品。 提供给能源客户（例如公用事业电力实体）的优化激励机制的算法，其考虑到异构客户在负载减少中的灵活性，通过公用事业公司的回扣信号实现需求响应，并考虑到需求转移的时间方面 为了回扣。 解决了成本最小化问题的数学公式，为客户减少需求提供激励。 梯度下降算法用于解决针对个人最终用户定制的最佳激励措施。