Data-driven demand charge management solution

    公开(公告)号:US10333306B2

    公开(公告)日:2019-06-25

    申请号:US15833301

    申请日:2017-12-06

    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 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 next month DCT value for the facility using the data set of DCT values. 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.

    Multi-Layer Adaptive Power Demand Management For Behind The Meter Energy Management Systems

    公开(公告)号:US20180268327A1

    公开(公告)日:2018-09-20

    申请号:US15789068

    申请日:2017-10-20

    CPC classification number: G06Q10/04 G05B15/02 G05B19/042 G05B19/048 G06Q50/06

    Abstract: Systems and methods for adaptive demand charge management in a behind the meter energy management system. The system and method includes determining, in a first layer, an initial demand charge threshold (DCT), for a first period, based on historical DCT profiles, and generating recursively, in a second layer, a forecast of a power demand for a second period, wherein the second period is a subset of the first period. Further included is combining the first layer and the second layer to recursively modify the initial DCT with a DCT adjustment value to generate a modified DCT, wherein the DCT adjustment value is optimized according to the forecast of power demand for the second period, and controlling batteries according to the modified DCT, wherein the batteries are discharged if power demand is above the modified DCT, and the batteries are charged if the power demand is below the modified DCT.

    Autonomous Operational Platform for Micro-Grid Energy Management

    公开(公告)号:US20170244252A1

    公开(公告)日:2017-08-24

    申请号:US15436274

    申请日:2017-02-17

    CPC classification number: H02J3/381 G05B23/0294 H02J2003/003 H02J2003/007

    Abstract: A computer-implemented method is provided for managing a plurality of micro grids in an energy system. The method includes collecting and maintaining, in a central database, configuration information and state information for the plurality of micro grids, by a processor-based dynamic operation engine. The method further includes identifying failures in any of the plurality of micro grids and generating updated configuration information and updated state information relating to the failures, based on data analytics and diagnostic polling applied to the configuration information and the state information, by a processor-based micro grid diagnostic engine. The method also includes autonomously recovering from the failures in any of the plurality of microgrids using one or more backup devices determined based on the updated configuration information and the updated state information, by a processor-based system recovery engine operatively coupled to the processor-based dynamic operation engine and to the processor-based micro grid diagnostic engine.

    DYNAMIC PROBABILITY-BASED POWER OUTAGE MANAGEMENT SYSTEM
    56.
    发明申请
    DYNAMIC PROBABILITY-BASED POWER OUTAGE MANAGEMENT SYSTEM 审中-公开
    基于动态可靠性的功率管理系统

    公开(公告)号:US20160241031A1

    公开(公告)日:2016-08-18

    申请号:US15046110

    申请日:2016-02-17

    CPC classification number: H02J3/38 H02J3/32 H02J3/382

    Abstract: A method and system are provided for managing a power system having a grid portion, a load portion, a storage portion, and at least one of a renewable portion and a fuel-based portion. The method includes generating, by a scheduler responsive to an indication of an occurrence of a power outage, an outage duration prediction. The method further includes solving, by the scheduler, an economic dispatch problem using a long-term energy optimization model. The method also includes generating, by the scheduler based on an analysis of the long-term energy optimization model, an energy management directive that controls, for a time period of the outage duration prediction, the storage portion and at least one of the renewable portion and the fuel-based portion. The method additionally includes controlling, by a controller responsive to the directive, the storage portion and the at least one of the renewable portion and the fuel-based portion.

    Abstract translation: 提供了一种用于管理具有格栅部分,负载部分,存储部分以及可再生部分和基于燃料的部分中的至少一个的电力系统的方法和系统。 该方法包括响应于断电发生的指示,通过调度器生成中断持续时间预测。 该方法还包括通过调度器解决使用长期能量优化模型的经济调度问题。 该方法还包括通过调度器基于长期能量优化模型的分析生成能量管理指令,其在停电时间预测的时间段期间控制存储部分和可再生部分中的至少一个 和基于燃料的部分。 该方法还包括通过响应于该指令的控制器来控制存储部分和可再生部分和基于燃料的部分中的至少一个。

    OPTIMIZING SIZING OF GRID-SCALE BATTERIES FOR FREQUENCY REGULATION SERVICES
    57.
    发明申请
    OPTIMIZING SIZING OF GRID-SCALE BATTERIES FOR FREQUENCY REGULATION SERVICES 审中-公开
    用于频率调节服务的网格电池优化尺寸

    公开(公告)号:US20160092776A1

    公开(公告)日:2016-03-31

    申请号:US14846149

    申请日:2015-09-04

    CPC classification number: G01R31/3651 H01M10/4207 H01M2220/10

    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.

    Abstract translation: 一种或多种用于频率调节服务的电网规模电池的最佳尺寸的系统和方法,包括在特定时间段内确定所述一个或多个电池的期望的电池输出功率。 电池尺寸针对特定时间段内的一个或多个电池进行了优化,并且使用不同的时间周期重复优化,以基于生成的操作约束或质量标准约束中的至少一个来生成一组最佳电池尺寸 一个或多个电池 从最佳电池尺寸的集合中选择最佳电池。

    FORECASTING MARKET PRICES FOR MANAGEMENT OF GRID-SCALE ENERGY STORAGE SYSTEMS
    58.
    发明申请
    FORECASTING MARKET PRICES FOR MANAGEMENT OF GRID-SCALE ENERGY STORAGE SYSTEMS 审中-公开
    预测全球规模能源储存系统管理的市场价格

    公开(公告)号:US20160055507A1

    公开(公告)日:2016-02-25

    申请号:US14831650

    申请日:2015-08-20

    CPC classification number: G06Q30/0206 G06Q30/0203 G06Q50/06

    Abstract: Systems and methods for forecasting energy usage data for one or more markets, including providing energy variable input data for one or more energy variables, transforming the energy variable input data using functions of the energy variable input data to generate transformed functions, modeling the transformed functions as one or more time series models, the time series models representing energy usage over time and energy usage predictions, and generating forecasted energy usage data based on the one or more time series models for management of one or more energy resources.

    Abstract translation: 用于预测一个或多个市场的能量使用数据的系统和方法,包括为一个或多个能量变量提供能量可变输入数据,使用能量可变输入数据的功能来变换能量变量输入数据以产生变换函数, 作为一个或多个时间序列模型,表示随时间的能量使用和能量使用预测的时间序列模型,以及基于用于管理一个或多个能量资源的一个或多个时间序列模型产生预测的能量使用数据。

    OPTIMAL ENERGY MANAGEMENT OF A RURAL MICROGRID SYSTEM USING MULTI-OBJECTIVE OPTIMIZATION
    59.
    发明申请
    OPTIMAL ENERGY MANAGEMENT OF A RURAL MICROGRID SYSTEM USING MULTI-OBJECTIVE OPTIMIZATION 有权
    使用多目标优化的农村微生物系统的最佳能源管理

    公开(公告)号:US20150355618A1

    公开(公告)日:2015-12-10

    申请号:US14831483

    申请日:2015-08-20

    CPC classification number: G05B19/042 G05B13/04 G05B17/02 G05B2219/25289

    Abstract: Systems and methods are disclosed to improve energy efficiency of a farm with livestock wastes by generating a cooling, heating, and power (CCHP) microgrid model; performing on a computer a multi-objective optimization to improve system efficiency of energy utilization and reduce environmental problems caused by animal wastes; and displaying results of the optimization for review.

    Abstract translation: 公开了系统和方法,以通过产生冷却,加热和功率(CCHP)微电网模型来提高具有家畜废物的农场的能量效率; 在计算机上进行多目标优化,提高能源利用的系统效率,减少动物废物造成的环境问题; 并显示优化结果进行审查。

    Distributed Cooperative Control for Microgrid Resynchronization and Reconnection
    60.
    发明申请
    Distributed Cooperative Control for Microgrid Resynchronization and Reconnection 审中-公开
    分布式协同控制微网重新同步和重新连接

    公开(公告)号:US20150295581A1

    公开(公告)日:2015-10-15

    申请号:US14678053

    申请日:2015-04-03

    CPC classification number: H02J3/40 H02J3/381

    Abstract: Systems and methods are disclosed for distributed cooperative control strategy between a microgrid and a main grid by providing distributed synchronization and reconnection of the distributed generators with sparse communication channels, wherein each distributed generator only receives information from neighboring generators; receiving a voltage phase angle difference and a voltage magnitude difference by a proportional integration (PI) controller to adjust the output of the distributed generator at a leader node, wherein each distributed generator shares an output frequency and a voltage with neighbors; achieving a consensus behavior between all the distributed generators; sharing power generation among the distributed generators; and synchronizing the microgrid with the main grid for a seamless reconnection after islanding.

    Abstract translation: 通过提供分布式同步和分布式发电机与稀疏通信通道的重新连接,公开了微电网与主电网之间的分布式协同控制策略的系统和方法,其中每个分布式发电机只接收来自相邻发电机的信息; 通过比例积分(PI)控制器接收电压相位角差和电压幅度差,以调整分布式发生器在领先节点处的输出,其中每个分布式发生器与邻居共享输出频率和电压; 实现所有分布式发电机之间的共识行为; 在分布式发电机之间共享发电; 并将微电网与主电网同步,以便在孤岛化之后进行无缝重新连接。

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