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    Distributed control of electric power grids
    1.
    发明授权
    Distributed control of electric power grids 有权

    公开(公告)号：US11181564B2

    公开(公告)日：2021-11-23

    申请号：US14318658

    申请日：2014-06-29

    Applicant: International Business Machines Corporation

    Inventor： Soumyadip Ghosh ,  Dung Phan ,  Xu Sun

    IPC: G01R21/133 ,  G01R19/25

    Abstract: A method for determining power output levels of a plurality of nodes in an electric power system includes receiving, at a first node of the plurality of nodes, voltage information and multipliers of all neighboring nodes of the first node within the electric power system, determining, by the first node, a local power generation and a local voltage using the voltage information and the multipliers of the neighboring nodes and distributing the local power generation and the local voltage to the neighboring nodes, determining, by the first node, an estimated voltage of each of the neighboring nodes and distributing the estimated voltage to each of the neighboring nodes, and updating, by the first node, a local multiplier using the voltage information received from the neighboring nodes and the estimated voltage of each of the neighboring nodes determined by the node.

    PLANNING ECONOMIC ENERGY DISPATCH IN ELECTRICAL GRID UNDER UNCERTAINTY
    3.
    发明申请
    PLANNING ECONOMIC ENERGY DISPATCH IN ELECTRICAL GRID UNDER UNCERTAINTY 有权
    在不确定的情况下规划电网经济能源发电

    公开(公告)号：US20150278412A1

    公开(公告)日：2015-10-01

    申请号：US14738355

    申请日：2015-06-12

    Applicant: International Business Machines Corporation

    Inventor： Soumyadip Ghosh ,  Dung T. Phan

    IPC: G06F17/50 ,  G06F17/10

    CPC classification number: G06F17/5009 ,  G06F17/10 ,  G06F17/5004 ,  G06F17/509 ,  G06F2217/78 ,  Y02E40/76 ,  Y02E60/76 ,  Y04S10/545 ,  Y04S40/22

    Abstract: A method for solving a two-stage non-linear stochastic formulation for the economic dispatch problem under renewable-generation uncertainty. Certain generation decisions are made only in the first stage and fixed for the subsequent (second) stage, where the actual renewable generation is realized. The uncertainty in renewable output is captured by a finite number of scenarios. Any resulting supply-demand mis-match must then be alleviated using high marginal-cost power sources that can be tapped in short time frames. The solution implements two outer approximation algorithms to solve this nonconvex optimization problem to optimality including the application of a decomposition approach derived from the Alternating Direction Method of Multipliers (ADMM) algorithm.

    Abstract translation: 一种用于解决可再生能源不确定性下经济调度问题的两阶段非线性随机公式的方法。 某些生成决定仅在第一阶段进行，并在实现可再生能源的后续阶段（第二阶段）中进行修复。 可再生能源产出的不确定性被有限的情况所捕获。 因此，任何导致供应错误的供应必须使用可在短时间内抽取的高边际成本电力来缓解。 该解决方案实现了两种外部近似算法来解决这个非凸优化问题到最优化，包括应用从乘法器交替方向（ADMM）算法得到的分解方法。

    Planning economic energy dispatch in electrical grid under uncertainty
    4.
    发明授权
    Planning economic energy dispatch in electrical grid under uncertainty 有权
    规划电力企业经济能源不确定性

    公开(公告)号：US09058443B2

    公开(公告)日：2015-06-16

    申请号：US13632705

    申请日：2012-10-01

    Applicant: International Business Machines Corporation

    Inventor： Soumyadip Ghosh ,  Dung T. Phan

    IPC: G06G7/54 ,  G05B13/02 ,  G05D3/12 ,  G06F17/50

    CPC classification number: G06F17/5009 ,  G06F17/10 ,  G06F17/5004 ,  G06F17/509 ,  G06F2217/78 ,  Y02E40/76 ,  Y02E60/76 ,  Y04S10/545 ,  Y04S40/22

    Abstract: A system and computer program product for solving a two-stage non-linear stochastic formulation for the economic dispatch problem under renewable-generation uncertainty. Certain generation decisions are made only in the first stage and fixed for the subsequent (second) stage, where the actual renewable generation is realized. The uncertainty in renewable output is captured by a finite number of scenarios. Any resulting supply-demand mis-match must then be alleviated using high marginal-cost power sources that can be tapped in short time frames. The solution implements two outer approximation algorithms to solve this nonconvex optimization problem to optimality. Under certain conditions the sequence of optimal solutions obtained under both alternatives has a limit point that is a globally-optimal solution to the original two-stage nonconvex program. A further decomposition approach derived from the Alternating Direction Method of Multipliers algorithm is implemented.

    Abstract translation: 一种用于解决可再生能源不确定性下经济调度问题的两阶段非线性随机公式的系统和计算机程序产品。 某些生成决定仅在第一阶段进行，并在实现可再生能源的后续阶段（第二阶段）中进行修复。 可再生能源产出的不确定性被有限的情况所捕获。 因此，任何导致供应错误的供应必须使用可在短时间内抽取的高边际成本电力来缓解。 该解决方案实现了两个外部近似算法，以将该非凸优化问题解决为最优。 在某些条件下，在两种替代方案下获得的最优解的顺序具有一个极限点，它是原始两阶段非凸面程序的全局最优解。 实现了从乘法器交替方向法得到的另外的分解方法。

    Managing Time-Substitutable Electricity Usage using Dynamic Controls
    5.
    发明申请
    Managing Time-Substitutable Electricity Usage using Dynamic Controls 有权
    使用动态控制管理时间替代电力使用

    公开(公告)号：US20140365022A1

    公开(公告)日：2014-12-11

    申请号：US13912181

    申请日：2013-06-06

    Applicant: International Business Machines Corporation

    Inventor： Soumyadip Ghosh ,  Jonathan Richard Morley Hosking ,  Ramesh Natarajan ,  Shivaram Subramaniam ,  Xiaoxuan Zhang

    IPC: G06Q50/06

    CPC classification number: G05B13/048 ,  G05B2219/40458 ,  G06Q30/0206 ,  G06Q50/06 ,  H02J3/381 ,  H02J2003/003 ,  Y04S10/54 ,  Y04S20/222 ,  Y04S50/14

    Abstract: A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives.

    Abstract translation: 预测控制方法允许电力供应商使用时间依赖的动态定价激励来监测并主动管理新兴智能电网中的高峰和非高峰住宅日用电。 日常负荷被模拟为时间偏移，但是构建了持续消费的电力资源的成本差异化和可替代的副本，并且构建了消费者选择预测模型，以根据这一预测来预测相应的日内负荷的日内份额 模型。 这被嵌入在管理日常用电量的优化框架内。 采用一系列转换，包括重构线性化技术（RLT），以获得最终的非线性优化问题的混合整数编程（MIP）模型表示。 此外，各种监管和定价限制与指定的利润和产能利用目标相结合。

    Managing time-substitutable electricity usage using dynamic controls
    7.
    发明授权
    Managing time-substitutable electricity usage using dynamic controls 有权

    公开(公告)号：US10816942B2

    公开(公告)日：2020-10-27

    申请号：US15352054

    申请日：2016-11-15

    Applicant: International Business Machines Corporation

    Inventor： Soumyadip Ghosh ,  Jonathan R. Hosking ,  Ramesh Natarajan ,  Shivaram Subramanian ,  Xiaoxuan Zhang

    IPC: G05B13/04 ,  G06Q50/06 ,  H02J3/38 ,  G06Q30/02 ,  H02J3/00

    Abstract: A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives.

    Managing time-substitutable electricity usage using dynamic controls
    8.
    发明授权
    Managing time-substitutable electricity usage using dynamic controls 有权
    使用动态控制管理可替代的电力使用

    公开(公告)号：US09576327B2

    公开(公告)日：2017-02-21

    申请号：US13912181

    申请日：2013-06-06

    Applicant: International Business Machines Corporation

    Inventor： Soumyadip Ghosh ,  Jonathan R. Hosking ,  Ramesh Natarajan ,  Shivaram Subramaniam ,  Xiaoxuan Zhang

    IPC: G06Q50/06 ,  G06Q30/02 ,  H02J3/00

    CPC classification number: G05B13/048 ,  G05B2219/40458 ,  G06Q30/0206 ,  G06Q50/06 ,  H02J3/381 ,  H02J2003/003 ,  Y04S10/54 ,  Y04S20/222 ,  Y04S50/14

    Abstract: A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives.

    Abstract translation: 预测控制方法允许电力供应商使用时间依赖的动态定价激励来监测并主动管理新兴智能电网中的高峰和非高峰住宅日用电。 日常负荷被模拟为时间偏移，但是构建了持续消费的电力资源的成本差异化和可替代的副本，并且构建了消费者选择预测模型，以根据这一预测来预测相应的日内负荷的日内份额 模型。 这被嵌入在管理日常用电量的优化框架内。 采用一系列转换，包括重构线性化技术（RLT），以获得最终的非线性优化问题的混合整数编程（MIP）模型表示。 此外，各种监管和定价限制与指定的利润和产能利用目标相结合。

    Planning economic energy dispatch in electrical grid under uncertainty
    10.
    发明授权
    Planning economic energy dispatch in electrical grid under uncertainty 有权
    规划电力企业经济能源不确定性

    公开(公告)号：US09058444B2

    公开(公告)日：2015-06-16

    申请号：US13733431

    申请日：2013-01-03

    Applicant: International Business Machines Corporation

    Inventor： Soumyadip Ghosh ,  Dung T. Phan

    IPC: G06G7/54 ,  G05B13/02 ,  G05D3/12 ,  G06F17/50

    CPC classification number: G06F17/5009 ,  G06F17/10 ,  G06F17/5004 ,  G06F17/509 ,  G06F2217/78 ,  Y02E40/76 ,  Y02E60/76 ,  Y04S10/545 ,  Y04S40/22

    Abstract: A method for solving a two-stage non-linear stochastic formulation for the economic dispatch problem under renewable-generation uncertainty. Certain generation decisions are made only in the first stage and fixed for the subsequent (second) stage, where the actual renewable generation is realized. The uncertainty in renewable output is captured by a finite number of scenarios. Any resulting supply-demand mis-match must then be alleviated using high marginal-cost power sources that can be tapped in short time frames. The solution implements two outer approximation algorithms to solve this nonconvex optimization problem to optimality. Under certain conditions the sequence of optimal solutions obtained under both alternatives has a limit point that is a globally-optimal solution to the original two-stage nonconvex program. A further decomposition approach derived from the Alternating Direction Method of Multipliers algorithm is implemented.

    Abstract translation: 一种用于解决可再生能源不确定性下经济调度问题的两阶段非线性随机公式的方法。 某些生成决定仅在第一阶段进行，并在实现可再生能源的后续阶段（第二阶段）中进行修复。 可再生能源产出的不确定性被有限的情况所捕获。 因此，任何导致供应错误的供应必须使用可在短时间内抽取的高边际成本电力来缓解。 该解决方案实现了两个外部近似算法，以将该非凸优化问题解决为最优。 在某些条件下，在两种替代方案下获得的最优解的顺序具有一个极限点，它是原始两阶段非凸面程序的全局最优解。 实现了从乘法器交替方向法得到的另外的分解方法。

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