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

IPC: H02J7/00 ,  G05B13/02

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.

公开(公告)号：US20160042369A1

公开(公告)日：2016-02-11

申请号：US14821163

申请日：2015-08-07

Applicant: NEC Laboratories America, Inc.

Inventor： Babak Asghari ,  Ratnesh K. Sharma

IPC: G06Q30/02

CPC classification number: G06Q30/0202

Abstract: A system and method for controlling operation of one or more grid scale energy storage systems (GSESSs). The method includes generating at least one time series model to provide forecasted pricing data for a plurality of markets, determining a reserve capacity for the one or more GSESSs to provide one or more real-time operation services, determining battery life and degradation costs for one or more batteries in the one or more GSESSs to provide battery life and degradation costs, and optimizing bids for the plurality of markets to generate optimal bids based on at least one of the forecasted pricing data, the battery life and degradation costs and the reserve capacity.

Abstract translation: 一种用于控制一个或多个电网规模能量储存系统（GSESS）的运行的系统和方法。 该方法包括生成至少一个时间序列模型以提供多个市场的预测定价数据，确定一个或多个GSESS提供一个或多个实时操作服务的备用容量，确定一个或多个实时操作服务的电池寿命和降级成本 一个或多个GSESS中的电池或更多的电池，以提供电池寿命和降解成本，以及基于预测的定价数据，电池寿命和劣化成本以及储备容量中的至少一个来优化多个市场的出价以产生最佳出价 。

公开(公告)号：US20190036482A1

公开(公告)日：2019-01-31

申请号：US16037381

申请日：2018-07-17

Applicant: NEC Laboratories America, Inc.

Inventor： Chenrui Jin ,  Babak Asghari ,  Ratnesh Sharma

IPC: H02S40/38 ,  H02J7/35 ,  H01L31/042 ,  H02J7/00

Abstract: A computer-implemented method executed on a processor for outputting a smoothed photovoltaic (PV) power output from a battery of a power control system communicating with one or more microgrids is presented. The method includes curtailing an input signal received from a plurality of sensors, smoothing the input signal by employing a fuzzy logic based low pass filter having an adaptive window to generate a power reference command, applying a hard ramp rate limit to the power reference command, adjusting battery power output of the battery to satisfy battery constraints and a no-power-from-grid constraint, and distributing energy from the battery based on the adjusted battery power output.

公开(公告)号：US20190005554A1

公开(公告)日：2019-01-03

申请号：US15992955

申请日：2018-05-30

Applicant: NEC Laboratories America, Inc.

Inventor： Babak Asghari ,  Ratnesh Sharma ,  Mohammad Rasoul Narimani

IPC: G06Q30/02 ,  G05B15/02 ,  G06Q50/06

Abstract: A system, method, and computer-program product are provided for controlling a distributed energy storage system (ESS) operatively coupled to one or more microgrids. The system includes a memory for storing program code. The system further includes a processor for running the program code to respectively assign a first, a second, and a third set of weights to a first, a second, and a third objective function formulated to minimize an ESS cost, minimize a Demand Charge (DC) cost, and maximize a Photovoltaic utilization, respectively. The processor further runs the program code to execute a multi-objective ESS optimizing engine to obtain a set of different monthly-based optimal solutions for controlling the ESS by concurrently processing the first, the second, and the third objective functions using different ones of the weights from the first, the second, and the third set of weights.

公开(公告)号：US20170229881A1

公开(公告)日：2017-08-10

申请号：US15363876

申请日：2016-11-29

Applicant: NEC Laboratories America, Inc.

Inventor： Seyyed Ali Pourmousavi Kani ,  Babak Asghari ,  Ratnesh Sharma

IPC: H02J7/00 ,  H01M10/44

CPC classification number: H02J7/0068 ,  H01M10/44 ,  H02J3/32 ,  H02J3/382 ,  H02J7/0057 ,  Y02E70/30

Abstract: Computer-implemented methods and, a system are provided. A method includes constructing by an Energy Management System (EMS), one or more optimization-based techniques for resilient battery charging based on an optimization problem having an EMS cost-based objective function. The one or more optimization-based techniques are constructed to include a battery degradation metric in the optimization problem. The method further includes charging, by the EMS, one or more batteries in a power system in accordance with the one or more optimization-based techniques.

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。

公开(公告)号：US10234886B2

公开(公告)日：2019-03-19

申请号：US15228670

申请日：2016-08-04

Applicant: NEC Laboratories America, Inc.

Inventor： Babak Asghari ,  Ratnesh Sharma ,  Amirsaman Arabali

IPC: G05F1/00 ,  G05F1/66 ,  G05B15/02

Abstract: A system and method for management of one or more grid-scale Energy Storage Systems (GSSs), including generating an optimal GSS schedule in the presence of frequency regulation uncertainties. The GSS scheduling includes determining optimal capacity deployment factors to minimize penalties for failing to provide scheduled energy and frequency regulation up/down services subject to risk constraints; generating a schedule for a GSS unit by performing co-optimization using the optimal capacity deployment factors, the co-optimization including tracking upper and/or lower bounds on a state of charge (SoC) and including the bounds as a hard constraints; and calculating risk indices based on the optimal scheduling for the GSS unit, and outputting an optimal GSS schedule if risk constraints are satisfied. A controller charges and/or discharges energy from GSS units based on the generated optimal GSS schedule.

公开(公告)号：US20190056451A1

公开(公告)日：2019-02-21

申请号：US16103970

申请日：2018-08-16

Applicant: NEC Laboratories America, Inc.

Inventor： Babak Asghari ,  Ratnesh Sharma ,  Mohammad Ehsan Raoufat

IPC: G01R31/36 ,  H02S40/30 ,  H02S20/23 ,  H02J7/00

Abstract: Systems and methods for controlling Battery Energy Storage Systems (BESSs), including determining historical minimum state of charge (SOC) for peak shaving of a previous day based on historical photovoltaic (PV)/load profiles, historical demand charge thresholds (DCT), and battery capacity of the BESSs. A minimum SOC for successful peak shaving of a next day is estimated by generating a weighted average based on the historical minimum SOC, and optimal charging/discharging profiles for predetermined intervals are generated based on estimated PV/load profiles for a next selected time period and grid feed-in limitations. Continuous optimal charging/discharging functions are provided for the one or more BESSs using a real-time controller configured for overriding the optimal charging/discharging profiles when at least one of a high excess PV generation, a peak shaving event, or a feed-in limit violation is detected.

公开(公告)号：US20170038786A1

公开(公告)日：2017-02-09

申请号：US15228670

申请日：2016-08-04

Applicant: NEC Laboratories America, Inc.

Inventor： Babak Asghari ,  Ratnesh Sharma ,  Amirsaman Arabali

IPC: G05F1/66 ,  G05B15/02

CPC classification number: G05F1/66 ,  G05B15/02

Abstract: A system and method for management of one or more grid-scale Energy Storage Systems (GSSs), including generating an optimal GSS schedule in the presence of frequency regulation uncertainties. The GSS scheduling includes determining optimal capacity deployment factors to minimize penalties for failing to provide scheduled energy and frequency regulation up/down services subject to risk constraints; generating a schedule for a GSS unit by performing co-optimization using the optimal capacity deployment factors, the co-optimization including tracking upper and/or lower bounds on a state of charge (SoC) and including the bounds as a hard constraints; and calculating risk indices based on the optimal scheduling for the GSS unit, and outputting an optimal GSS schedule if risk constraints are satisfied. A controller charges and/or discharges energy from GSS units based on the generated optimal GSS schedule.

Abstract translation: 一种用于管理一个或多个电网规模能量存储系统（GSS）的系统和方法，包括在存在频率调节不确定性的情况下生成最佳GSS调度。 GSS调度包括确定最佳容量部署因素，以最大限度地减少因风险约束而不能提供预定能量和频率调节上/下服务的惩罚; 通过使用最佳容量部署因素执行协同优化来生成GSS单元的调度，所述协同优化包括跟踪充电状态（SoC）的上限和/或下限，并且将边界包括为硬约束; 并根据GSS单位的最优调度计算风险指标，并在满足风险约束的情况下输出最佳GSS排程。 控制器根据所产生的最佳GSS计划从GSS单位收取和/或排放能量。

公开(公告)号：US09450417B2

公开(公告)日：2016-09-20

申请号：US14093511

申请日：2013-12-01

Applicant: NEC Laboratories America, Inc.

Inventor： Babak Asghari ,  Ratnesh K. Sharma ,  Ali Hooshmand

IPC: H02J3/14 ,  H02J3/46 ,  G06Q10/06 ,  G06Q50/06 ,  H02J3/32

CPC classification number: H02J3/46 ,  G06Q10/06315 ,  G06Q50/06 ,  H02J3/32 ,  H02J2003/146

Abstract: The invention is directed to a method or management system which 1) dispatches high efficiency generators first, 2) charges/discharges energy storage units in a way to enhance efficiency of generators in the system or avoid the necessity of dispatching generators during their low efficiency operations at all. In this way the method or management system utilizes its knowledge about the efficiency characteristics of generators in the system and its ability to change the net demand seen by the generators through charge and discharge of energy storage units to increase the overall efficiency of the energy system.

Abstract translation: 本发明涉及一种方法或管理系统，该方法或管理系统首先分派高效率发电机，2）以提高系统中发电机效率的方式对能量存储单元进行充电/放电，或避免在其低效率运行期间调度发电机的必要性 在所有 以这种方式，方法或管理系统利用其关于系统中发电机的效率特性的知识，以及通过能量存储单元的充放电来改变发电机所看到的净需求的能力，以提高能量系统的整体效率。