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1. 发明授权

US08977524B2 Interior point method for reformulated optimal power flow model 有权
标题翻译：重构最优潮流模型的内点法
公开(公告)号：US08977524B2
公开(公告)日：2015-03-10
申请号：US13413086
申请日：2012-03-06
申请人： Motto Alexis Legbedji , Ruken Duzgun , Ioannis Akrotirianakis , Amit Chakraborty
发明人： Motto Alexis Legbedji , Ruken Duzgun , Ioannis Akrotirianakis , Amit Chakraborty
IPC分类号： G06F7/60 , H02J3/14 , G06Q10/04 , H02J3/00
CPC分类号： H02J3/14 , G06Q10/04 , H02J2003/007 , H02J2003/146 , Y02B70/3225 , Y04S20/222 , Y04S20/224
摘要： A method for approximating an optimal power flow of a smart electric power grid includes providing a cost function that models a smart electric power grid having buses connected by branches, deriving a set of linear equations that minimize the cost function subject to constraints from an expression of an extremum of the cost function with respect to all arguments, reducing a dimension of the linear equations by solving for a subset of the linear equations, re-organizing the reduced dimension linear equations into primal and dual parts, and decomposing the re-organized reduced dimensional linear equations into two systems of block matrix equations which can be solved by a series of back substitutions. A solution of the two systems of block matrix equations yields conditions for a lowest cost per kilowatthour delivered through the smart electric power grid.
摘要翻译：一种用于近似智能电网的最佳功率流的方法包括提供一种成本函数，其对具有通过分支连接的总线的智能电力网进行建模，导出一组线性方程，其中所述线性方程使得成本函数最小化，关于所有参数的成本函数的极值，通过求解线性方程的子集来减少线性方程的维度，将缩减维线性方程重新组织成原始和双重部分，并且分解重新组织的减少二维线性方程组成两个系统的矩阵方程组，可以通过一系列的后置换算来求解。块矩阵方程的两个系统的解决方案产生通过智能电力网输送的每千瓦最低成本的条件。

2. 发明申请

US20130035885A1 TOPOLOGY IDENTIFICATION IN DISTRIBUTION NETWORK WITH LIMITED MEASUREMENTS 有权
标题翻译：配电网的拓扑识别与有限的测量
公开(公告)号：US20130035885A1
公开(公告)日：2013-02-07
申请号：US13558711
申请日：2012-07-26
申请人： Yoav Sharon , Anuradha Annaswamy , Motto Alexis Legbedji , Amit Chakraborty
发明人： Yoav Sharon , Anuradha Annaswamy , Motto Alexis Legbedji , Amit Chakraborty
IPC分类号： G06F19/00 , G06F17/50 , G01R21/00
CPC分类号： H02J3/46 , G06F17/509 , G06F2217/10 , H02J13/0079 , H02J2003/003 , Y04S10/54 , Y04S20/48
摘要： A statistical technique is used to estimate the status of switching devices (such as circuit breakers, isolator switches and fuses) in distribution networks, using scares (i.e., limited or non-redundant) measurements. Using expected values of power consumption, and their variance, the confidence level of identifying the correct topology, or the current status of switching devices, is calculated using any given configuration of real time measurements. Different topologies are then compared in order to select the most likely topology at the prevailing time. The measurements are assumed as normally distributed random variables, and the maximum likelihood principle or a support vector machine is applied.
摘要翻译：使用统计技术来估计配电网络中的开关设备（如断路器，隔离开关和保险丝）的状态，使用惊吓（即有限或非冗余）测量。使用预期的功耗值及其方差，使用任何给定的实时测量配置来计算识别正确拓扑的置信水平或开关设备的当前状态。然后比较不同的拓扑结构，以便在当前的时间选择最可能的拓扑。将测量值假定为正态分布随机变量，并应用最大似然原理或支持向量机。

3. 发明授权

US09336338B2 Global solutions of smart building-grid energy management models 有权
标题翻译：智能建筑电网能源管理模式的全球解决方案
公开(公告)号：US09336338B2
公开(公告)日：2016-05-10
申请号：US13760420
申请日：2013-02-06
申请人： Motto Alexis Legbedji , Yu Sun , Amit Chakraborty
发明人： Motto Alexis Legbedji , Yu Sun , Amit Chakraborty
IPC分类号： G06F7/60 , G06F17/10 , G06F17/50 , G06Q50/06
CPC分类号： G06F17/5004 , G06F2217/78 , G06Q50/06 , Y02E60/76 , Y04S40/22
摘要： According to an aspect of the invention, there is provided a method for optimizing a cost of electric power generation in a smart site energy management model, including providing a cost function that models a smart building-grid energy system of a plurality of buildings on a site interconnected with electric power grid energy resources and constraints due to a building model, an electric grid model, and a building-grid interface model, where decision variables for each of the building model, the electric grid model, and the building-grid interface model are box-constrained, and minimizing the cost function subject to the building model constraints, the electric grid model constraints, and building-grid interface model constraints.
摘要翻译：根据本发明的一个方面，提供了一种用于优化智能场所能量管理模型中的发电成本的方法，包括提供对多个建筑物中的智能建筑物 - 电网能量系统进行建模的成本函数由于建筑模型，电网模型和建筑物 - 电网接口模型，电力网络能源资源和制约因素相互联系，其中建筑模型，电网模型和建筑物 - 电网接口各自的决策变量模型是框限制的，并且最小化构建模型约束，电网模型约束和建筑 - 电网接口模型约束的成本函数。

4. 发明申请

US20130238148A1 INTERIOR POINT METHOD FOR REFORMULATED OPTIMAL POWER FLOW MODEL 有权
标题翻译：改进的最优动力流量模型的内部点方法
公开(公告)号：US20130238148A1
公开(公告)日：2013-09-12
申请号：US13413086
申请日：2012-03-06
申请人： Motto Alexis Legbedji , Ruken Duzgun , Ioannis Akrotirianakis , Amit Chakraborty
发明人： Motto Alexis Legbedji , Ruken Duzgun , Ioannis Akrotirianakis , Amit Chakraborty
IPC分类号： G05F5/00
CPC分类号： H02J3/14 , G06Q10/04 , H02J2003/007 , H02J2003/146 , Y02B70/3225 , Y04S20/222 , Y04S20/224
摘要： A method for approximating an optimal power flow of a smart electric power grid includes providing a cost function that models a smart electric power grid having buses connected by branches, deriving a set of linear equations that minimize the cost function subject to constraints from an expression of an extremum of the cost function with respect to all arguments, reducing a dimension of the linear equations by solving for a subset of the linear equations, re-organizing the reduced dimension linear equations into primal and dual parts, and decomposing the re-organized reduced dimensional linear equations into two systems of block matrix equations which can be solved by a series of back substitutions. A solution of the two systems of block matrix equations yields conditions for a lowest cost per kilowatthour delivered through the smart electric power grid.
摘要翻译：一种用于近似智能电网的最佳功率流的方法包括提供一种成本函数，其对具有通过分支连接的总线的智能电力网进行建模，导出一组线性方程，其中所述线性方程使得成本函数最小化，关于所有参数的成本函数的极值，通过求解线性方程的子集来减少线性方程的维度，将缩减维线性方程重新组织成原始和双重部分，并且分解重新组织的减少二维线性方程组成两个系统的矩阵方程组，可以通过一系列的后置换算来求解。块矩阵方程的两个系统的解决方案产生通过智能电力网输送的每千瓦最低成本的条件。

5. 发明授权

US09287713B2 Topology identification in distribution network with limited measurements 有权
标题翻译：配电网拓扑识别测量有限
公开(公告)号：US09287713B2
公开(公告)日：2016-03-15
申请号：US13558711
申请日：2012-07-26
申请人： Yoav Sharon , Anuradha Annaswamy , Motto Alexis Legbedji , Amit Chakraborty
发明人： Yoav Sharon , Anuradha Annaswamy , Motto Alexis Legbedji , Amit Chakraborty
IPC分类号： H02J3/46 , G06F17/50 , H02J13/00 , H02J3/00
CPC分类号： H02J3/46 , G06F17/509 , G06F2217/10 , H02J13/0079 , H02J2003/003 , Y04S10/54 , Y04S20/48
摘要： A statistical technique is used to estimate the status of switching devices (such as circuit breakers, isolator switches and fuses) in distribution networks, using scares (i.e., limited or non-redundant) measurements. Using expected values of power consumption, and their variance, the confidence level of identifying the correct topology, or the current status of switching devices, is calculated using any given configuration of real time measurements. Different topologies are then compared in order to select the most likely topology at the prevailing time. The measurements are assumed as normally distributed random variables, and the maximum likelihood principle or a support vector machine is applied.
摘要翻译：使用统计技术来估计配电网络中的开关设备（如断路器，隔离开关和保险丝）的状态，使用惊吓（即有限或非冗余）测量。使用预期的功耗值及其方差，使用任何给定的实时测量配置来计算识别正确拓扑的置信水平或开关设备的当前状态。然后比较不同的拓扑结构，以便在当前的时间选择最可能的拓扑。将测量值假定为正态分布随机变量，并应用最大似然原理或支持向量机。

6. 发明申请

US20140032187A1 STOCHASTIC STATE ESTIMATION FOR SMART GRIDS 审中-公开
标题翻译：智能网格的STOCHASTIC状态估计
公开(公告)号：US20140032187A1
公开(公告)日：2014-01-30
申请号：US13880449
申请日：2011-11-04
申请人： Motto Alexis Legbedji , Andrey Torzhkov , Amit Chakraborty
发明人： Motto Alexis Legbedji , Andrey Torzhkov , Amit Chakraborty
IPC分类号： G06F17/50
CPC分类号： G06F17/5009 , G05B13/042 , G05B17/02 , G06F17/10
摘要： A method of approximating a solution of a stochastic state estimation (SSE) model of an electric grid, includes choosing (70) starting anchor points in an SSE model of an electric grid, relaxing (71) constraints of an SSE objective function to solve for a feasible solution of the SSE model, calculating (72) updated dual variables and infeasibility reduction directions from the feasible solution, generating (73) a linear cut for the chosen starting anchor points, choosing (74) a step size toward the reduction directions, and updating (75) the anchor points through branching by making the chosen step, wherein each anchor point defines a rectangle that at least partially covers a feasible solution set of the SSE model and the set of rectangles covering the feasible solution set of the SSE model define an approximate solution of the SSE model of said electric grid.
摘要翻译：一种近似电网随机状态估计（SSE）模型解的方法包括选择（70）在电网SSE模型中启动锚点，放松（71）SSE目标函数的约束，以求解从可行解中计算（72）更新的双变量和不可行性减少方向，对所选择的起始锚点产生（73）线性切割，选择（74）向减小方向的步长，以及通过进行所选择的步骤来通过分支来更新（75）所述锚定点，其中每个锚点定义至少部分地覆盖所述SSE模型的可行解集合的矩形，并且覆盖所述SSE模型的可行解集的矩形集合定义所述电网的SSE模型的近似解。

7. 发明申请

US20130238294A1 GLOBAL SOLUTIONS OF SMART BUILDING-GRID ENERGY MANAGEMENT MODELS 有权
标题翻译：智能建筑能源管理模式的全球解决方案
公开(公告)号：US20130238294A1
公开(公告)日：2013-09-12
申请号：US13760420
申请日：2013-02-06
申请人： Motto Alexis Legbedji , Yu Sun , Amit Chakraborty
发明人： Motto Alexis Legbedji , Yu Sun , Amit Chakraborty
IPC分类号： G06F17/50
CPC分类号： G06F17/5004 , G06F2217/78 , G06Q50/06 , Y02E60/76 , Y04S40/22
摘要： According to an aspect of the invention, there is provided a method for optimizing a cost of electric power generation in a smart site energy management model, including providing a cost function that models a smart building-grid energy system of a plurality of buildings on a site interconnected with electric power grid energy resources and constraints due to a building model, an electric grid model, and a building-grid interface model, where decision variables for each of the building model, the electric grid model, and the building-grid interface model are box-constrained, and minimizing the cost function subject to the building model constraints, the electric grid model constraints, and building-grid interface model constraints.
摘要翻译：根据本发明的一个方面，提供了一种用于优化智能场所能量管理模型中的发电成本的方法，包括提供对多个建筑物中的智能建筑物 - 电网能量系统进行建模的成本函数由于建筑模型，电网模型和建筑物 - 电网接口模型，电力网络能源资源和制约因素相互联系，其中建筑模型，电网模型和建筑物 - 电网接口各自的决策变量模型是框限制的，并且最小化构建模型约束，电网模型约束和建筑 - 电网接口模型约束的成本函数。

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