230 results about "Load profile" patented technology

Exemplary embodiments of methods and apparatuses to dynamically redistribute power in a system that includes a plurality of subsystems are described. A load profile of the system is identified. The power is redistributed between the subsystems while tracking the load profile. The load profile may be an asymmetric, or a balanced load profile. The load profile is identified based on a utilization factor for each of the subsystems. In one embodiment, the power used by each of the subsystems is sensed by one or more sensors or predicted or estimated. A utilization factor, which may be a ratio of the actual power used by the subsystem to the power allocated to the subsystem, is calculated. The load profile is determined using the utilization factor of each of the subsystems. A power weighting arrangement between the subsystems, for example, a power distribution table, is selected based on the load profile.

A device and system that can dynamically provide variable load on a generator and intelligently distribute generated power to loads and energy storage devices is disclosed. One system includes load profile controllers that employ a switching strategy to dynamically vary the load the generator induces while producing regenerative energy. This switching strategy may allow for a wide dynamic range of configurable damping characteristics, as well as decouple generator damping and the system output power. Multiple load profile controllers can be used together via a communications network, such as a vehicle controller area network (CAN) bus. A central regeneration controller or existing electronic control unit (ECU) can issue commands to change damping performance in different load profile controllers. By networking multiple load profile controllers together in either a distributed or centralized manner, the system may allow for intelligent power routing, coordination of multiple energy-generating devices (such as regenerative shocks and brakes), and improved utilization of on-board energy storage devices.

Provided is a day-ahead load reduction system based on a customer baseline load for inducing a user to efficiently manage energy consumption by applying an incentive (user compensation according to load reduction) to achieve load reduction and load decentralization. The day-ahead load reduction system based on a customer baseline load operates in connection with a provider terminal and a user terminal through a network to induce a reduction in the load of a user and includes an AMI / AMR translator collecting load profile data of the user in real time, converting the load profile data and storing the load profile data in a meter data warehouse; a meter data management system monitoring and analyzing the load profile data stored in the meter data warehouse in real time; a demand response operation system managing the demand of the user by using the load profile data and performing overall management, analysis and verification of a day-ahead load reduction event; a customer energy management system operating in connection with the demand response operation system and providing information on the load to the user through the user terminal in real time to allow the user to control the load; and an account system operating in connection with the demand response operation system and the customer energy management system, calculating an incentive for the day-ahead load reduction event and notifying a provider and the user of the incentive through the provider terminal and the user terminal.

The present invention generally teaches systems and methods for creating appliance signatures based upon whole house composite load profiles. Methods may includes steps such as identifying primitive elements including transients and absolute steady state levels; clustering the primitive elements along multiple dimensions to form impulses; combining impulses to form simple bundles; combining simple bundles with each other or impulses to form complex bundles; and determining specific appliance signatures that substantially match the complex bundles. Methods may also include steps such as determining transitions within the whole house composite load profile; determining household specific appliance state machines for each appliance in the household; and disaggregating the whole house composite load profile into individual appliance energy loads by assigning the determined transitions to the determined household specific appliance state machines.

A power management system uses software to predictively estimate remaining battery endurance by considering battery usage in context of a predetermined battery output and equipment load profiles, and appropriately issuing a shutdown alert or commencing a shutdown event as the end of battery endurance nears. More particularly, a battery supplies power to electrical equipment when a primary power source fails. Initially, the system receives one or more estimates of the battery's endurance and capability of supplying electrical power to the equipment. The system tracks battery use by prescribed electrical equipment. Utilizing software, for example, the system determines when estimated endurance minus battery usage equals a predetermined difference. Relative to this time, the system takes appropriate action(s) such as initiating shutdown of the equipment or issuing a shutdown alert.

The present invention is generally directed to methods of disaggregating low resolution whole-house energy consumption data. In accordance with some embodiments of the present invention, methods may include steps of: receiving at a processor the low resolution whole house profile; selectively communicating with a first database including non-electrical information; selectively communicating with a second database including training data; and determining by the processor based on the low resolution whole house profile, the non-electrical information and the training data, individual appliance load profiles for one or more appliances.

Methods, devices, and systems for detecting return-oriented programming (ROP) exploits are disclosed. A system includes a processor, a main memory, and a cache memory. A cache monitor develops an instruction loading profile by monitoring accesses to cached instructions found in the cache memory and misses to instructions not currently in the cache memory. A remedial action unit terminates execution of one or more of the valid code sequences if the instruction loading profile is indicative of execution of an ROP exploit involving one or more valid code sequences. The instruction loading profile may be a hit / miss ratio derived from monitoring cache hits relative to cache misses. The ROP exploits may include code snippets that each include an executable instruction and a return instruction from valid code sequences.

Systems and methods for monitoring compliance with a request not to run a type of load (e.g., a high-power-consuming appliance) during a demand response event are provided. One such system may include storage containing a load profile representative of a pattern of power consumption by a type of load and data processing circuitry. The data processing circuitry may compare a power usage profile representing power consumption by a consumer at least over a period of time to the load profile to determine whether the consumer is running the type of load over the period of time.

A hybrid energy storage system for supplying power to an application with a fluctuating load profile, such as, for example, electric vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles, wind energy harvesting equipment and solar energy harvesting equipment. The hybrid energy storage system includes an ultra-capacitor electrically connected to a DC bus and a power source electrically connected to the DC bus via a controlled switch. The hybrid energy storage system further including a DC / DC converter connected between the power source and the ultra-capacitor, the DC / DC converter boosting a voltage of the power source to charge the ultra-capacitor. The DC / DC converter is preferably controlled to maintain a voltage of the ultra-capacitor at a higher value than the voltage of the power source.

A degradation modeling and lifetime prediction method considering effective shocks includes steps of: first collecting degradation test data, then establishing a performance degradation model, and determining an environment or load changing rate threshold of a product subjected to effective shock based on the test data; estimating parameters in the model, and determining effective shock occurrence times based on the future environmental or load profile, and finally preforming lifetime and reliability prediction. Specific steps are as follows: step 1: collecting degradation test data; step 2: establishing a degradation model; step 3: determining an environment or load changing rate threshold; step 4: estimating the parameters; step 5: predicting the times that effective shocks occur; and step 6: performing reliability prediction. The present invention considers effects of effective shocks caused by sharp environment or load changes on product performance degradation, which makes the prediction method more realistic and improves the prediction accuracy.

A power forecasting module determines a load forecast of a distribution system (DS) and a power generation forecast of distributed energy resources (DERs). A demand response (DR) module estimates an available DR based on the load and the power generation forecast and modifies the load forecast by dispatching an optimal DR. An energy storage commitment module determines a charging / discharging schedule of energy storage devices in the system based on the modified load profile and generates a second load profile by incorporating the charging / discharging schedule of energy storage devices. An unit commitment (UC) module determines a DER schedule of supplying electrical power to the loads in the second load profile based on a first objective function. An economic dispatch (ED) module determines an optimum operating point for each DER and an Integrated Volt-VAR Control (IVVC) module controls distribution assets to maintain a voltage profile in the system.

A method and apparatus for characterizing a circuit coupled to an AC line. The apparatus comprises a consumption measurement unit (CMU), adapted for coupling, independent of voltage and current polarity, to the AC line and the circuit. The CMU comprises a discovery module adapted for (i) generating a circuit current signature based on current samples representative of current on a phase of the circuit, (ii) generating at least one AC line current signature based on AC line current samples representative of current on each phase of the AC line, and (iii) determining, based on the circuit current signature, the at least one AC line current signature, and at least one of a source profile or a load profile, at least one of a type or a voltage characteristic for the circuit.

A device and system that can dynamically provide variable load on a generator and intelligently distribute generated power to loads and energy storage devices is disclosed. One system includes load profile controllers that employ a switching strategy to dynamically vary the load the generator induces while producing regenerative energy. This switching strategy may allow for a wide dynamic range of configurable damping characteristics, as well as decouple generator damping and the system output power. Multiple load profile controllers can be used together via a communications network, such as a vehicle controller area network (CAN) bus. A central regeneration controller or existing electronic control unit (ECU) can issue commands to change damping performance in different load profile controllers. By networking multiple load profile controllers together in either a distributed or centralized manner, the system may allow for intelligent power routing, coordination of multiple energy-generating devices (such as regenerative shocks and brakes), and improved utilization of on-board energy storage devices.

Methods and apparatus, including computer program products, for measuring the performance of aspects of a complex data processing system. In one aspect, a method uses a dynamic synthetic benchmark to provide performance information for a program application running on a virtual machine. The benchmark in one implementation uses a load profile that includes information about instructions that make up the application, their call frequencies, and their workloads. Microbenchmarks of individual virtual machine instructions provide performance information about the virtual machine that is used with the load profile to synthesize a performance benchmark for the application.

A formed part having a multiple-plate structure of zonal design includes a base plate and a plurality of reinforcing plates fastened to the base plate. The multiple-plate structure is configured so that its strength is largely adapted to the load profile to be applied to the formed part and so that its cost of production is reduced. To this end, the thicknesses of the reinforcing plates vary as a function of the load structure to be applied to the formed part and the reinforcing plates engage each other in a positive locking manner so that the abutting edges are provided essentially with regularly arranged projections which are in mutual engagement.

A method for generating a net load forecast for a utility grid, the grid including intermittent distributed energy resources and loads, comprising: defining two or more load forecast zones, each zone being associated with a load profile type and a climate zone type; assigning each of the loads to one of the zones based on the load profile and climate zone types associated with the load; assigning each of the energy resources to at least one of the zones based on the climate zone type associated with the energy resource; for each zone, generating an electrical energy consumption forecast for loads, an electric power generation forecast for energy resources, and a net load forecast from the electrical energy consumption and electric power generation forecasts; combining the net load forecast for each zone to generate the net load forecast for the grid; and, presenting the net load forecast on a display.

A system and method provide Time-of-Use (TOU) rate schedules that are bound by windows of time, i.e., a type of fuzzy switch time, which is bounded on both sides, rather than instantaneous switch times. The fuzzy TOU schedule defines the time of a tier switch as the end time of the first completed interval recorded after the start of some window of time. A monitoring system may be included that implements configurable usage filters that allow for the classification of usage in terms of interval data. Usage filters can be defined so that they are applied against individual interval readings, various aggregations of interval readings, and / or the statistical products of interval readings, etc. A filtering algorithm allows for the comparison of incoming and / or historical interval data against defined usage and schedule filters to determine if usage is abnormal and should be investigated further.

Systems and methods for providing Time-of-Use (TOU) rate schedules to relative-time meters (e.g., water and gas meters) in a utility metering network. The system may also be used to determine usage based on filtering interval data received from the relative-time meters. The TOU rate schedules are bound by windows of time, i.e., a type of fuzzy switch time, which is bounded on both sides, rather than instantaneous switch times. The fuzzy TOU schedule defines the time of a tier switch as the end time of the first completed interval recorded after the start of some window of time. A monitoring system may be included that implements configurable usage filters that allow for the classification of usage in terms of interval data. Usage filters can be defined so that they are applied against individual interval readings, various aggregations of interval readings, and / or the statistical products of interval readings, etc. A filtering algorithm allows for the comparison of incoming and / or historical interval data against defined usage and schedule filters to determine if usage is abnormal and should be investigated further.

An invention is provided for determining a state of health of a battery. The invention includes applying a predefined load profile to a battery, and obtaining a plurality of battery response voltage data corresponding to points along the predefined load profile. A matrix of parameters, which includes, among other data, battery ohm resistance data, battery chemical resistance data, and battery electrical double layer capacity data, is calculated from the battery response voltage data. Thereafter, the matrix of parameters is utilized to determine the state of health of the battery.

A system, method and device for determining load profile of a power line conductor supplying power to a plurality of power customers is provided. In one embodiment the system comprises an automated meter reading system configured to receive meter data comprising data of the power consumed by each of the plurality of power customers as measured by the power meters; a phase detection system configured to determine one of the plurality of power lines to which each of the power meters is electrically connected; a meter grouping system configured to determine groups of power meter that are commonly connected to the plurality of power line conductors; and a load profile system configured to determine a load profile for each group of power meters by combining the meter data from each meter of each group over a plurality of time periods.

Methods and systems using aggregated electrical system load profiles in determining additional load profiles, and determining consumption management system characteristics, features, and operating requirements at a site are disclosed, along with methods of generating and maintaining databases of load profile information and consumption management system requirements. By using some embodiments of the methods and systems described herein, it is faster and easier to design and implement effective consumption management systems, to determine problematic electrical systems at a site, and to diminish anomalous consumption patterns in an aggregate unprofiled electrical system load profile.

An invention is provided for determining a state of health of a battery. The invention includes applying a predefined load profile to a battery, and obtaining a plurality of battery response voltage data corresponding to points along the predefined load profile. The battery electrical double layer capacity data is calculated from the battery response voltage data, and thereafter utilized to determine the state of health of the battery.

Certain embodiments of the invention may include systems, methods, and apparatus for controlling voltage and reactive power in a distribution network. One method includes estimating at least one present state associated with a distribution network; allocating one or more load zones in the distribution network; predicting load profiles of each zone for a predetermined time period; determining capacitor bank switching schedules for a predetermined time period based at least in part on the at least one present state and the predicted load profiles; and switching capacitor banks according to the capacitor bank switching schedules.

A dynamic load fixture (DLF) for testing a unit under test (UUT) includes a lateral load system that applies a time-varying lateral load profile to the UUT drive shaft and an encoder that measures its angular rotation. An isolation stage suitably constrains the encoder from rotating about the axis while allowing it to move in other directions in which the application of the lateral force induces motion. The lateral load system includes a load bearing around the drive shaft, an actuator that applies a lateral force to the load bearing, a force sensor for measuring the applied lateral force, and a lateral controller for adjusting a command signal to the actuator to implement a lateral load profile. The DLF may also include a torsion load system that applies a time-varying torsion load profile to the drive shaft.

A system and method of controlling aggregated thermostatically controlled appliances (TCAs) for demand response is disclosed. A targeted load profile is formulated and a forecasted load profile is generated. The TCAs within an “on” or “off” control group are prioritized based on their operating temperatures. The “on” or “off” status of the TCAs is determined. Command signals are sent to turn on or turn off the TCAs.

An exemplary system for analyzing and modeling electric generators for a customer is provided. The system may include a database component and processor. The database operable to maintain data identifying a generator, a generator fuel cost projection, operating parameters, a customer load profile, and an electricity cost projection for a period of time. The processor operable to calculate a projected generation cost, and to compare the projected generation cost with the electricity cost projections to provide electricity to the customer through an electric grid. A method for modeling distributed generation is also provided. The method includes determining a projected customer electric cost to provide electricity to a customer from the electric grid and determining a projected generation cost for a generator to generate electricity for the customer for the period of time to meet the customer's projected load or electric load profile.

An energy system is formed of a plurality of battery cells, and has an application associated therewith that draws power from the energy system, thereby creating a load profile that is presented to the energy system. As the application is being used, voltage and current measurements are taken at a predetermined rate, and stored in a history table to create a series of time-based measurements. The measurements stored in the history table are then processed to produce an energy spectra and a power spectra corresponding to the load profile presented to the energy system by the application. A charging strategy in accordance with this energy spectra and power spectra is then defined and used to charge the energy system appropriately.