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公开(公告)号：US10333307B2
公开(公告)日：2019-06-25
申请号：US15833343
申请日：2017-12-06
Applicant: NEC Laboratories America, Inc.
Inventor： Ali Hooshmand , Ratnesh Sharma , Ramin Moslemi
Abstract: A computer-implemented method, system, and computer program product are provided for demand charge management. The method includes receiving an active power demand for a facility, a current load demand charge threshold (DCT) profile for the facility, and a plurality of previously observed load DCT profiles. The method also includes generating a forecast model from a data set of DCT values based on the current load DCT profile for the facility and the plurality of previously observed load DCT profiles. The method additionally includes forecasting a monthly DCT value for the facility using the forecast model. The method further includes preventing actual power used from a utility from exceeding the next month DCT value by discharging a battery storage system into a behind the meter power infrastructure for the facility.
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公开(公告)号：US20190140465A1
公开(公告)日：2019-05-09
申请号：US16180415
申请日：2018-11-05
Applicant: NEC Laboratories America, Inc.
Inventor： Ali Hooshmand , Ratnesh Sharma , Korosh Vatanparver
Abstract: Systems and methods for controlling behind-the meter energy storage/management systems (EMSs) for battery-optimized demand charge minimized operations, including determining an optimal monthly demand charge threshold based on a received customer load profile and a customer load profile and savings. The determining of the monthly demand charge threshold includes iteratively performing daily optimizations to determine a daily optimal demand threshold for each day of a month, selecting a monthly demand threshold by clustering the daily optimal demand thresholds for each day of the month into groups, and determining a dominant group representative of a load pattern for a next month. A mean demand threshold for the dominant group is selected as the monthly demand threshold, and continuous battery-optimized demand charge minimized EMS operations are provided based on the monthly demand threshold using a real-time controller configured for overriding the optimal charging/discharging profiles when a monthly demand threshold violation is detected.
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公开(公告)号：US20170310140A1
公开(公告)日：2017-10-26
申请号：US15498034
申请日：2017-04-26
Applicant: NEC Laboratories America, Inc.
Inventor： Babak Asghari , Ali Hooshmand , Ratnesh Sharma
CPC classification number: H02J3/32 , H02J2003/003 , H02J2003/146 , Y04S20/224
Abstract: Systems and methods for minimizing demand charges, including determining one or more optimal monthly demand charge thresholds based on historical load data, time of use charges, demand charges, and energy storage unit size for one or more end users. A grid power dispatch setpoint is calculated for a particular time step based on a daily load forecast and a daily economic dispatch solution based on the determined optimal monthly demand charge thresholds. A grid power dispatch setpoint for a subsequent time step is determined by iteratively solving the daily energy dispatch for the subsequent time step to determine an optimal grid power dispatch setpoint. Energy and demand charges are minimized by controlling charging and discharging operations for the energy storage unit in real-time based on the determined optimal grid power dispatch setpoint.
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4.发明申请INTEGRATED OPTIMAL PLACEMENT, SIZING, AND OPERATION OF ENERGY STORAGE DEVICES IN ELECTRIC DISTRIBUTION NETWORKS 审中-公开电力分配网络中的能源存储设备的集成最佳放置，尺寸和操作公开(公告)号：US20150261892A1
公开(公告)日：2015-09-17
申请号：US14562915
申请日：2014-12-08
Applicant: NEC Laboratories America, Inc.
Inventor： Mohammad C. Bozchalui , Ratnesh Sharma , Ali Hooshmand
Abstract: A method and system are provided. The method includes co-optimizing a placement, a sizing, and an operation schedule of at least one energy storage system in an energy distribution system. The energy distribution system further has at least one renewable energy resource and at least one distributed energy resource. The co-optimizing step includes generating a placement-sizing-scheduling co-optimization model of the at least one energy storage system by integrating therein a distribution optimal power flow optimization model of the energy distribution system and components thereof. The distribution optimal power flow optimization model integrates therein at least an energy storage system model, a renewable energy resource model, and a distributed energy resource model. The co-optimizing step further includes optimally determining, using a processor-based placement-sizing-scheduling optimizer, the placement, the sizing, and the operation schedule of the at least one energy storage system based on the placement-sizing-scheduling co-optimization model.
Abstract translation: 提供了一种方法和系统。 该方法包括共同优化能量分配系统中的至少一个能量存储系统的位置，尺寸和操作进度。 能量分配系统还具有至少一个可再生能源和至少一个分布式能源。 共同优化步骤包括通过在其中集成能量分配系统的分布最优功率流优化模型及其组件来生成至少一个能量存储系统的放置调度协同优化模型。 分布式最优潮流优化模型至少在其中集成了能量存储系统模型，可再生能源资源模型和分布式能源资源模型。 共同优化步骤还包括基于放置调整调度共享来最优地确定使用基于处理器的布局调度优化器，所述至少一个能量存储系统的布局，尺寸和操作调度， 优化模型。
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公开(公告)号：US10289081B2
公开(公告)日：2019-05-14
申请号：US14683397
申请日：2015-04-10
Applicant: NEC Laboratories America, Inc.
Inventor： Ali Hooshmand , Ratnesh Sharma , Ceyhun Eksin
Abstract: A system to manage a power grid includes one or more storage and generator devices coupled to the power grid; and a decentralized management module to control the devices including: a module to perform decentralized local forecasts; and a module to perform decentralized device reconfiguration.
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Patent Agency Ranking
公开(公告)号：US10234511B2
公开(公告)日：2019-03-19
申请号：US14846149
申请日：2015-09-04
Applicant: NEC Laboratories America, Inc.
Inventor： Ali Hooshmand , Ratnesh Sharma
Abstract: Systems and methods for optimal sizing of one or more grid-scale batteries for frequency regulation service, including determining a desired battery output power for the one or more batteries for a particular period of time. A battery size is optimized for the one or more batteries for the particular period of time, and the optimizing is repeated using different time periods to generate a set of optimal battery sizes based on at least one of generated operational constraints or quality criteria constraints for the one or more batteries. A most optimal battery is selected from the set of optimal battery sizes.
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公开(公告)号：US20180166878A1
公开(公告)日：2018-06-14
申请号：US15833343
申请日：2017-12-06
Applicant: NEC Laboratories America, Inc.
Inventor： Ali Hooshmand , Ratnesh Sharma , Ramin Moslemi
CPC classification number: H02J3/14 , G05B15/02 , G06F17/18 , G06N20/00 , G06Q10/04 , H02J3/32 , H02J7/0013 , H02J7/007 , H02J2003/003 , H02J2007/0067
Abstract: A computer-implemented method, system, and computer program product are provided for demand charge management. The method includes receiving an active power demand for a facility, a current load demand charge threshold (DCT) profile for the facility, and a plurality of previously observed load DCT profiles. The method also includes generating a forecast model from a data set of DCT values based on the current load DCT profile for the facility and the plurality of previously observed load DCT profiles. The method additionally includes forecasting a monthly DCT value for the facility using the forecast model. The method further includes preventing actual power used from a utility from exceeding the next month DCT value by discharging a battery storage system into a behind the meter power infrastructure for the facility.
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公开(公告)号：US09785130B2
公开(公告)日：2017-10-10
申请号：US14681027
申请日：2015-04-07
Applicant: NEC Laboratories America, Inc.
Inventor： Ali Hooshmand , Ratnesh Sharma
CPC classification number: G05B15/02 , G05B2219/2639 , G06Q10/04 , G06Q10/063 , G06Q50/06 , H02J3/12 , H02J3/382 , H02J7/34 , H02J2003/003 , Y04S10/54
Abstract: A method for power management includes applying a decentralized control to manage a large-scale community-level energy system; obtaining a global optimal solution satisfying constraints between the agents representing the energy system's devices as a state-based potential game with a multi-agent framework; independently optimizing each agent's output power while considering operational constraints and assuring a pure Nash equilibrium (NE), wherein a state space helps coordinating the agents' behavior in energy system to deal with system-wide constraints including supply demand balance, battery charging power constraint and satisfy system-wide and device-level (local) operational constraints; and controlling distributed generations (DGs) and storage devices using the agent's output.
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公开(公告)号：US20170256004A1
公开(公告)日：2017-09-07
申请号：US15416810
申请日：2017-01-26
Applicant: NEC Laboratories America, Inc.
Inventor： Ali Hooshmand , Seyyed Ali Pourmousavi Kani , Ratnesh Sharma , Shankar Mohan
Abstract: A system and method are provided. The system includes a processor. The processor is configured to receive power related data relating to power usage of power consuming devices at a customer site from a plurality of sources. The processor is further configured to generate object function inputs from the power related data. The processor is additionally configured to apply the generated object function inputs to an objective function to determine an optimal capacity for a battery storage system powering the power consuming devices at the customer site while minimizing a daily operational power cost for the power consuming devices at the customer site. The processor is also configured to initiate an act to control use of one or more batteries of the battery storage system in accordance with the optimal capacity for the battery storage system.
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公开(公告)号：US20140350743A1
公开(公告)日：2014-11-27
申请号：US14321931
申请日：2014-07-02
Applicant: NEC Laboratories America, Inc.
Inventor： Babak Asghari , Ratnesh Sharma , Ali Hooshmand
IPC: G05B13/04
CPC classification number: G05B13/048 , H02J3/00 , H02J2003/003 , H02J2003/007
Abstract: Systems and methods to perform multi-objective energy management of micro-grids include determining, by an advisory layer with Model Predictive Control (MPC) using a processor, long-term power management directives that include a charging threshold that characterizes one or more power sources, where the advisory layer provides optimal set points or reference trajectories to reduce a cost of energy; and determining real-time actions based on the charging threshold to adaptively charge a battery from the one or more power sources or to discharge the battery.
Abstract translation: 执行微网格的多目标能量管理的系统和方法包括通过使用处理器的具有模型预测控制（MPC）的咨询层来确定长期功率管理指令，其包括表征一个或多个电源的充电阈值 ，其中咨询层提供最佳设定点或参考轨迹以降低能量成本; 以及基于所述充电阈值确定实时动作以对来自所述一个或多个电源的电池进行自适应充电或者对所述电池进行放电。
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