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1. 发明申请

WO2014116899A1 ADAPTIVE CONTROL OF HYBRID ULTRACAPACITOR-BATTERY STORAGE SYSTEM FOR PHOTOVOLTAIC OUTPUT SMOOTHING 审中-公开
标题翻译：用于光伏输出平滑的混合超声波电池存储系统的自适应控制
公开(公告)号：WO2014116899A1
公开(公告)日：2014-07-31
申请号：PCT/US2014/012870
申请日：2014-01-24
申请人： NEC LABORATORIES AMERICA, INC.
发明人： YE, Yanzhu , SHARMA, Ratnesh , SHI, Di
IPC分类号： H02S40/38 , G05F1/575
CPC分类号： G06N7/02 , H02J3/32 , H02J3/383 , H02J7/345 , H02J7/35 , Y02E10/50 , Y02E10/563 , Y02E10/566 , Y02E40/10 , Y02E40/76 , Y02E70/30 , Y04S10/545
摘要： A hybrid ultracapacitor-battery energy storage system is integrated with a photovoltaic sytem to help solve fluctuations. A fuzzy-logic-based adaptive power management system enables optimization of the power/energy distributions and a filter-based power coordination layer serving as a rudimentary step for power coordination among the hybrid storage system and a fuzzy-logic-based control adjustment layer that keeps monitoring the operation status of all the energy storage devices, taking into account their dynamic characteristics, and fine-tuning the control settings adaptively.
摘要翻译：混合超级电容器电池能量存储系统与光伏系统集成，以帮助解决波动。基于模糊逻辑的自适应功率管理系统能够优化功率/能量分布，以及基于滤波器的功率协调层，作为混合存储系统和基于模糊逻辑的控制调节层之间的功率协调的基本步骤不断监控所有储能装置的运行状态，并考虑到其动态特性，并自适应地微调控制设置。

2. 发明申请

WO2018057906A1 STOCHASTIC DEMAND CHARGE MANAGEMENT SYSTEM AND METHOD 审中-公开
标题翻译：随机需求收费管理系统和方法
公开(公告)号：WO2018057906A1
公开(公告)日：2018-03-29
申请号：PCT/US2017/052977
申请日：2017-09-22
申请人： NEC LABORATORIES AMERICA, INC.
发明人： ASGHARI, Babak , SHARMA, Ratnesh , WANG, Zeyu
IPC分类号： H02J7/00
摘要： Systems and methods for minimizing demand charges includes generating historical demand profiles (402) having a plurality of demand charge threshold (DCT) values over a period of time, filtering the DCT values (408) using weighting factors to provide filtered DCT values such that DCT underestimations and overestimations are removed from optimization, determining an optimal DCT output value (410) from the filtered DCT values such that the optimal DCT output value is based on the historical demand profiles (106) and the weighting factors, and distributing energy (412) in one or more batteries (108) in accordance with the optimal DCT output value and current energy demand to minimize energy and demand charges.
摘要翻译：用于最小化需求费用的系统和方法包括生成在一段时间内具有多个需求费用阈值（DCT）值的历史需求简档（402），使用加权因子对DCT值（408）进行过滤以提供经滤波的DCT值，使得DCT低估和高估从优化中移除，从经滤波的DCT值确定最优DCT输出值（410），使得最优DCT输出值基于历史需求简档（106）和加权因素，并根据最优DCT输出值和当前能量需求在一个或多个电池（108）中分配能量（412）以最小化能量和需求费用。

3. 发明申请

WO2017155624A1 OPTIMAL BATTERY SIZING FOR BEHIND-THE-METER APPLICATIONS CONSIDERING PARTICIPATION IN DEMAND RESPONSE PROGRAMS AND DEMAND CHARGE REDUCTION 审中-公开
标题翻译：考虑参与需求响应程序和需求电荷减少的背后电表应用的最佳电池尺寸
公开(公告)号：WO2017155624A1
公开(公告)日：2017-09-14
申请号：PCT/US2017/015307
申请日：2017-01-27
申请人： NEC LABORATORIES AMERICA, INC.
发明人： HOOSHMAND, Ali , KANI, Seyyed, Ali, Pourmousavi , SHARMA, Ratnesh , MOHAN, Shankar, Narayan
IPC分类号： H02J3/32
摘要： 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.
摘要翻译：
提供了一种系统和方法。该系统包括一个处理器。处理器被配置为从多个来源接收与客户现场的功率消耗设备的功率使用有关的功率相关数据。处理器进一步被配置为从功率相关数据生成对象功能输入。处理器另外被配置成将所生成的目标函数输入应用于目标函数以确定用于为客户现场的电力消费设备供电的电池存储系统的最优容量，同时最小化客户处的电力消费设备的日常操作电力成本现场。处理器还被配置成根据电池存储系统的最佳容量发起动作以控制电池存储系统的一个或多个电池的使用。

4. 发明申请

WO2017136057A1 RESILIENT BATTERY CHARGING STRATEGIES TO REDUCE BATTERY DEGRADATION AND SELF-DISCHARGING 审中-公开
标题翻译：充电电池充电策略可减少电池的退化和自我释放
公开(公告)号：WO2017136057A1
公开(公告)日：2017-08-10
申请号：PCT/US2016/067736
申请日：2016-12-20
申请人： NEC LABORATORIES AMERICA, INC.
发明人： POURMOUSAVI KANI, Seyyed Ali , ASGHARI, Babak , SHARMA, Ratnesh
IPC分类号： H02J7/00 , H01M10/44
CPC分类号： H02J7/0068 , H01M10/44 , H02J3/32 , H02J3/382 , H02J7/0057 , Y02E70/30
摘要： 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.
摘要翻译：提供了计算机实现的方法和系统。一种方法包括通过能量管理系统（EMS）基于基于具有基于EMS成本的目标函数的优化问题构建用于弹性电池充电的一个或多个基于优化的技术。该一个或多个基于优化的技术被构造为在优化问题中包括电池劣化度量。该方法还包括由EMS根据基于一种或多种基于优化的技术对电力系统中的一个或多个电池进行充电。

5. 发明申请

WO2016210058A1 HYBRID ENERGY STORAGE SYSTEM INCLUDING BATTERY AND ULTRA-CAPACITOR FOR A FREQUENCY REGULATION MARKET 审中-公开
标题翻译：混合能源储存系统，包括用于频率调节市场的电池和超电容器
公开(公告)号：WO2016210058A1
公开(公告)日：2016-12-29
申请号：PCT/US2016/038904
申请日：2016-06-23
申请人： NEC LABORATORIES AMERICA, INC.
发明人： GUO, Feng , SHARMA, Ratnesh
IPC分类号： H02J3/38 , H02J7/34
CPC分类号： G05B19/042 , G05B2219/2639 , H02J7/345
摘要： Aspects of the present disclosure relate to methods and systems for improved hybrid energy storage systems employing batteries and ultra-capacitors (UC) operating in a frequency regulation market.
摘要翻译：本公开的方面涉及在频率调节市场中使用电池和超电容器（UC）的改进的混合储能系统的方法和系统。

6. 发明申请

WO2015147917A1 POWER MODELING BASED BUILDING DEMAND MANAGEMENT SYSTEM 审中-公开
标题翻译：基于功率建模的建筑物需求管理系统
公开(公告)号：WO2015147917A1
公开(公告)日：2015-10-01
申请号：PCT/US2014/064212
申请日：2014-11-06
申请人： NEC LABORATORIES AMERICA, INC.
发明人： PATIL, Rakesh , SHARMA, Ratnesh , TOURETZKY, Cara
IPC分类号： G06Q50/06 , G06Q50/10
CPC分类号： G05B17/02 , G05B15/02 , G05B2219/2642
摘要： A method and system are provided. The method includes generating a power model, modeling power demands of at least one of a building and subsystems thereof, responsive to measured power-related inputs specific to the building and forecasted power-related inputs. The method further includes controlling, by a processor-based supervisory controller, power consumption of at least one of the building and the subsystems responsive to the power demands modeled by the power model.
摘要翻译：提供了一种方法和系统。该方法包括产生功率模型，对建筑物及其子系统中的至少一个的功率需求进行建模，响应于测量的与建筑物相关的功率相关输入和预测的功率相关输入。该方法还包括响应于由功率模型建模的功率需求，由基于处理器的监控控制器控制建筑物和子系统中的至少一个的功率消耗。

7. 发明申请

WO2015051058A1 OPTIMAL SENSOR AND ACTUATOR DEPLOYMENT FOR SYSTEM DESIGN AND CONTROL 审中-公开
标题翻译：最佳传感器和执行器部署系统设计和控制
公开(公告)号：WO2015051058A1
公开(公告)日：2015-04-09
申请号：PCT/US2014/058726
申请日：2014-10-02
申请人： NEC LABORATORIES AMERICA, INC.
发明人： PATIL, Rakesh , FANG, Huazhen , SHARMA, Ratnesh
IPC分类号： F24F11/02
CPC分类号： G06F17/5004 , G06F2217/80
摘要： A method of determining the location of actuators and sensors for climate control that includes providing a model of temperature and airflow within a room. A matrix for the placement of sensors is calculated using a Lyapunov equation. A Lyapunov equation includes a matrix for the transition state from the model of temperature and airflow. A trace of the matrix for the placement of sensors is maximized to provide optimum placement of the sensors. A matrix for the placement of actuators within the model is calculated using the Lyapunov equation. A variable for the Lyapunov equation includes the matrix for the transition state obtained from the model of temperature and airflow. A trace of the matrix for the placement of actuators is maximized to provide optimum placement of the actuators within the room.
摘要翻译：确定用于气候控制的致动器和传感器的位置的方法，其包括在室内提供温度和气流的模型。使用Lyapunov方程计算用于放置传感器的矩阵。 Lyapunov方程包括从温度和气流模型的过渡状态的矩阵。用于放置传感器的矩阵的轨迹最大化，以提供传感器的最佳布置。使用Lyapunov方程计算用于在模型内放置致动器的矩阵。 Lyapunov方程的变量包括从温度和气流模型获得的过渡态的矩阵。用于放置致动器的矩阵的轨迹被最大化以提供致动器在房间内的最佳布置。

8. 发明申请

WO2014204643A1 ZONE BASED HEATING, VENTILATION AND AIR-CONDITIONING (HVAC) CONTROL USING EXTENSIVE TEMPERATURE MONITORING 审中-公开
标题翻译：基于区域的加热，通风和空气调节（HVAC）控制使用广泛的温度监测
公开(公告)号：WO2014204643A1
公开(公告)日：2014-12-24
申请号：PCT/US2014/040800
申请日：2014-06-04
申请人： NEC LABORATORIES AMERICA, INC.
发明人： PATIL, Rakesh , SHARMA, Ratnesh
IPC分类号： F24F11/02 , F25B13/00
CPC分类号： F24F11/0009 , F24F11/0034 , F24F11/30 , F24F11/61 , F24F2011/0073 , F24F2120/10
摘要： System and methods for controlling an air conditioning (AC) system includes defining one or more zones to achieve control actions based on local conditions to create a localized dynamic system for localized control, wherein zones are defined by considering hot and cool areas of the room or location of heat generating equipment, wherein the zone definition changes dynamically based on time of day or based on occupancy, or wherein zones are defined in a customizable manner based on sensitivity analysis considering energy savings and comfort tradeoff or considering equipment with predetermined temperature restrictions; monitoring through sensor placement at predetermined locations in the room based on importance of the equipment, heat generation zones and proximity to the AC; determining appropriate temperature setpoints based on existing operating conditions; and applying temperature information at the predetermined locations to generate rules for the actuation of AC systems.
摘要翻译：用于控制空调（AC）系统的系统和方法包括定义一个或多个区域以基于局部条件实现控制动作，以创建用于局部控制的局部动态系统，其中区域通过考虑房间的热和冷区域来定义，发热设备的位置，其中区域定义基于时间或基于占用而动态地改变，或者基于考虑到节能和舒适性折中的灵敏度分析或考虑具有预定温度限制的设备，以可定制的方式定义区域; 基于设备的重要性，发热区域和AC的接近度，通过传感器放置在房间的预定位置进行监控; 基于现有操作条件确定适当的温度设定点; 并在预定位置施加温度信息以产生AC系统的致动规则。

9. 发明公开

EP2856635A1 ADAPTIVE CONTROL OF HYBRID ULTRACAPACITOR-BATTERY STORAGE SYSTEM FOR PHOTOVOLTAIC OUTPUT SMOOTHING 有权
标题翻译： FOR光伏输出晚上混合型超级电容器电池存储系统的自适应控制
公开(公告)号：EP2856635A1
公开(公告)日：2015-04-08
申请号：EP14743641.4
申请日：2014-01-24
申请人： NEC Laboratories America, Inc.
发明人： YE, Yanzhu , SHARMA, Ratnesh , SHI, Di
IPC分类号： H02S40/38 , G05F1/575
CPC分类号： G06N7/02 , H02J3/32 , H02J3/383 , H02J7/345 , H02J7/35 , Y02E10/50 , Y02E10/563 , Y02E10/566 , Y02E40/10 , Y02E40/76 , Y02E70/30 , Y04S10/545
摘要： A hybrid ultracapacitor-battery energy storage system is integrated with a photovoltaic sytem to help solve fluctuations. A fuzzy-logic-based adaptive power management system enables optimization of the power/energy distributions and a filter-based power coordination layer serving as a rudimentary step for power coordination among the hybrid storage system and a fuzzy-logic-based control adjustment layer that keeps monitoring the operation status of all the energy storage devices, taking into account their dynamic characteristics, and fine-tuning the control settings adaptively.

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