191results about How to "Reduce peak load" patented technology

Applications and other server resources in a computer center are dynamically reprovisioned in response to power consumption and heat dissipation loads. Power consumption and temperature of each of a plurality of data center components which comprise the computer center are monitored. Based on the monitored power consumption and temperature, one or more applications from one or more data center components are relocated to other data center components of the computer center as needed to change power consumption and heat dissipation loads within the computer center. Also, based on the monitored power consumption and temperature, one or more applications running on one or more data center components of the computer center may be rescheduled as needed to change power consumption and heat dissipation loads within the computer center. Cooling devices within the computer center may also be controlled as needed to change heat dissipation loads within the computer center.

A method for reducing peak loads of wind turbines in a changing wind environment includes measuring or estimating an instantaneous wind speed and direction at the wind turbine and determining a yaw error of the wind turbine relative to the measured instantaneous wind direction. The method further includes comparing the yaw error to a yaw error trigger that has different values at different wind speeds and shutting down the wind turbine when the yaw error exceeds the yaw error trigger corresponding to the measured or estimated instantaneous wind speed.

The invention provides solar panel systems, which may be applied to surfaces such as residential rooftops. The invention also provides methods of installing solar panel systems. A solar panel system may comprise one or more module, which may comprise one or more solar panels and a rack. A solar panel may comprise a polymer, and may not comprise glass or a metal frame. The rack may include three footings and a plurality of adjustable fasteners that may enable the module to reside on an uneven surface. The rack may also include integrated electronic components and a microinverter. A module may yield a desired power output, and may generate performance monitoring data.

A method for reducing peak loads of wind turbines in a changing wind environment includes measuring or estimating an instantaneous wind speed and direction at the wind turbine and determining a yaw error of the wind turbine relative to the measured instantaneous wind direction. The method further includes comparing the yaw error to a yaw error trigger that has different values at different wind speeds and shutting down the wind turbine when the yaw error exceeds the yaw error trigger corresponding to the measured or estimated instantaneous wind speed.

The invention discloses an aggregation air conditioning load scheduling method based on temperature set value adjustment. The method comprises the following steps: (1) acquiring the temperature set value and outdoor temperature prediction value of each air conditioner aggregation group through a bilateral information channel; (2) adjusting and estimating the load increase / decrease scheme of each air conditioner aggregation group based on the temperature set values; (3) acquiring a load increase / decrease target issued by a superior scheduling department; (4) establishing an aggregation air conditioner scheduling decision model, and solving; (5) issuing an air conditioner control command through the bilateral information channel. By adopting the aggregation air conditioning load scheduling method, load increase / decrease service can be provided for electric power system scheduling on the premise of not influencing the user comfort by using air conditioning equipment of a user, so that the user turns from an electric energy user to a participant of an electric power system and participates in running of the electric power system; meanwhile, by using the method, technical guidance can be provided for the innovation of the scheduling mode of a power grid scheduling department.

A system for providing information about electrical devices in a residence includes a power measurement device, an electrical device identification component, and a notification component. The power measurement device measures characteristics of electrical power in one or more electrical power lines in the residence. Based on the measured electrical characteristics, the electrical device identification component determines electrical signatures specific electrical devices at the residence that are receiving electrical power through the electrical power lines, associates the electrical devices with a device type, and groups the electrical devices into zones of the residence. Based on power consumption by the specific electrical devices, the notification component determines events or conditions associated with specific electrical devices (for example abnormal usage, device failure, excess power consumption). Notifications relating to at least one of the events or conditions associated with the specific electrical devices are provided to a person associated with the residence (for example, homeowner or other resident).

The invention discloses an enterprise power consumption load prediction method based on a k-means clustering radial basis function (RBF) neural network. The method includes steps: historical load data acquisition, meteorological data acquisition, date discrimination, neural network prediction, error calculation and correction, load curve drawing, and prediction data export. A prediction result is obtained by employing the neural network via the historical load data and meteorological factor input quantity, and correction is realized via an error correction module. Based on the requirement control technology of load prediction, with the combination of an industrial enterprise production plan and the condition of power consumption load usage, the system performs requirement control via a built-in requirement curve node determination method at a control point before the load prediction value reaches the maximum requirement, whether unnecessary loads are removed is determined, the current most appropriate energy-saving scheme is automatically selected, the maximum requirement is controlled in advance, over-load operation and even tripping operation can be effectively avoided, and safety and energy-saving production is guaranteed.

The present invention discloses a smart power distribution system and a method to progressively dispatch the power using the same. The method is characterized in that it is based on data collection and data analysis to develop a dispatch scheme. The method steps are all automatic and self-adaptive. The method can be executed in an unattended manner to automatically correlate real time data vs. historical data, planning data vs. operation data. Based on a long cycle periodical variation and short-term random variations in load, and taking into account the temporary load power supply and maintenance needs, a multi-stage progressive multiple time scales optimal dispatching method is developed, including the distributed power, micro-grids, energy storage devices, electric vehicles charge-discharge facility and other elements of the Intelligent power distribution systems, to achieve coordinated operation of the network, power, load resources to ensure a continuous safe and reliable smart power distribution system operated at high quality and efficiency.

The vehicle has a single steered front wheel (1) mounted on a main frame (5) and two rear wheels (2, 3) mounted on a left (6) and right (7) frames. The left and right frames are connected to the main frame pivotally, which permits the vehicle to be folded into a compact position. The folded vehicle can stand up-right and can be moved to a storage place on two rear (2, 3) and two caster (145) wheels. For carrying inside a car the cycle also can be disassembled to four parts. The seat (9) has a two-point spring suspension with the axis higher than the center of gravity of the seated driver. It allows the seat with the driver to stay in a vertical position while driving on a lateral slope or to lean right and left as the vehicle is making a turn. The vehicle has a leg-operated back pedaling brake mechanism (15) and a car-style steering mechanism with a high-ratio cable reducer (12).

A computer-implemented method of optimizing demand-response (DR) of a heating, ventilation, and air-conditioning (HVAC) system of a building, includes determining (30, 31, 32) a value of an objective function Fij of a HVAC system for each of a plurality of DR strategies j for each of a plurality of weather patterns i that is a weighted sum of an energy cost of the HVAC system and a thermal comfort loss of the HVAC system, assigning (33, 34, 35, 36) a likelihood score Li,j to each of a selected subset of near-optimal DR strategies j for each weather pattern i, and selecting (37, 38) those near-optimal DR strategies with large overall likelihood scores Lj to create an optimal strategy pool of DR strategies. An optimal strategy pool can be searched (39) in real-time for an optimal DR strategy for a given weather pattern.

The invention relates to a multi-source heat pump cold and hot water unit integrating solar energy, air energy and sleeve accumulated energy. The multi-source heat pump cold and hot water unit is mainly composed of a solar thermal collector, an energy storage heat exchanger, an outdoor air heat exchanger, a compressor, a thermal storage water tank, a user side heat exchanger, a gas-liquid separator, a heat collecting water pump, a user circulating water pump, an electromagnetic valve, a motor-driven three-way reversing valve, a motor-driven four-way reversing valve, a start-stop valve, a throttling valve, a one-way valve and the like; according to different outdoor climatic conditions, multiple operation modes such as direct solar heat supply, living hot water produced by solar, solar heat accumulation, heat supply of an energy storage heat pump, heat supply of an air source heat pump, energy storage and air source heat pump combined heat supply, living hot water produced by an air source heat pump, cold supply of air source heat pump, air source heat pump cold accumulation, heat pump cold accumulation and production of life hot water, and cold accumulation cold supply are realized. The complementary utilization of air energy and solar energy and two-way utilization of cold and heat of a heat pump unit are realized, and one set of equipment is adopted to realize heating, refrigeration, energy storage and living hot water supply.

The invention provides a composite load reduction device for high-speed water entry of an aircraft body. The composite load reduction device comprises a fairing detachably connected to the head of a main projectile body, a cavitator and a damping device, wherein the cavitator and the damping device are arranged in the fairing; the damping device is arranged in the fairing and located between the cavitator and the main projectile body; and the damping device comprises a sealing pressure cylinder, a piston, a mounting seat, a piston rod, a tension spring, an air cavity and buffer air. The composite load reduction device is a buffer vibration reduction device which utilizes the pneumatic damping device and buffer foam for load reduction at the same time. Meanwhile, the pneumatic damping device and the buffer foam are utilized for buffering, and the composite load reduction device has higher load reduction performance.

The invention relates to a power distribution network optimization method adapting to power distribution network high capacity load transfer, comprising steps of analyzing a load fluctuation curve of a regional power distribution network and a complementary load characteristic curve of the regional power distribution network and an adjacent power distribution network of, obtaining the two characteristics of the power distribution network high capacity load transfer which are that the load fluctuation of the regional power distribution network is relatively big and the complementarity of the adjuacent regional power distribution network is strong, determining the characteristics satisfied by the characteristics of the power distribution network load, if two above characteristics are both satisfied, adopting a spatial transfer optimization method to optimize, if only the characteristic that the load fluctuation of the regional power distribution is big is satisfied, adopting the time transfer optimization to optimize. The power distribution network optimization method adapting to power distribution network high capacity load transfer groups the power distribution network high capacity load transfer into two categories, enables the distribution of the load to be more balance, improves the power distribution network planning and the operation level, has the directive significance, and improves the capability of the power distribution network to deal with the high capacity load transfer.

A method for reducing resonant vibrations and dynamic loads of cranes, whose horizontal and vertical motion of the pay load are controlled by a boom winch controlling the luffing motion of a pivoting boom and a hoist winch controlling the vertical distance between a boom tip and the load. Where the method includes determining the resonance frequencies of the coupled crane boom and load system, either experimentally or theoretically at least from data on inertia of the boom and stiffness of at least a boom rope, a hoist rope, a pedestal and an A-frame. The method further includes automatically generating a damping motion in at least one of said winches, that counteracts dynamic oscillations in the crane, and adding this damping motion to the motion determined by a crane operator.

The invention discloses a double-geared roller crusher which comprises a speed reducer, a pair of crusher rolls, toothed rings and a spacer ring, wherein the toothed rings arranged on the crusher rolls are of a grouping and tooth spiral-distributing structure, namely, the toothed rings are grouped along the axial directions of the crusher rolls and are spirally distributed according to a certain angle difference, an angle different exists between the toothed rings in the same group along the axial directions of the crusher rolls, the toothed rings arranged on one crusher roll are grouped and arranged in a manner that n toothed rings form one group at intervals of one group formed by n-1 groups of toothed rings, the toothed rings arranged on the other crusher roll are grouped and arranged in a manner that n-1 toothed rings form one group at intervals of one group formed by n groups of toothed rings, and the toothed rings on the two crusher rolls are arranged in a staggering manner, so that the n-1 toothed rings in one group formed by n-1 toothed rings on one crusher roll are at corresponding intervals of n toothed rings of one group formed by the n toothed rings, corresponding to the group, so that a crusher group is formed. According to the double-geared roller crusher disclosed by the invention, peak loads of all elements on a power transmission line are greatly reduced, and the service life of key components is prolonged.

A method of monitoring the physical state of a hot-rolled sheet or hot-rolled strip while controlling a plate rolling train for the reversing working a hot-rolled sheet or hot-rolled strip is disclosed. For the reversing rolling of the hot-rolled sheet or hot-rolled strip a rolling stand is provided. At a starting point, an initial state of the hot-rolled sheet or hot-rolled strip in a model is determined, from which state at least one physical state variable is derived. Further, a cyclical updating of the state during the working of the hot-rolled sheet by using the model of the hot-rolled sheet or hot-rolled strip and the plate rolling train is provided, wherein monitoring of the path of the hot-rolled sheet or hot-rolled strip and operating parameters influencing and / or reproducing the state are taken into account.

A supercharger drive pulley includes an inner hub and an outer drive pulley. One of the inner hub and the outer drive pulley is drivingly connected to a drive shaft of a supercharger for driving the supercharger and the other of the inner hub and the outer drive pulley is drivingly connected to an engine for being driven by the engine. A one way drive clutch is drivingly engaged between the inner hub and the outer pulley to allow driving torque from the engine to be transmitted to the supercharger in one direction and to allow the supercharger to freewheel in conditions where it overruns the engine.

The invention discloses a method and device for managing a memory space. The method includes that if stale data in a first memory space reaches a certain threshold, whether valid data exists in the first memory space is judged, and on yes judgment, the valid data arranged at an initial position is taken out from the first memory space until all valid data in the first memory space is taken out; on no judgment, the first memory space is released; Hash operation is conducted on data taken out from the first memory space, a memory address of the data in a second memory space is obtained, and the data is written on the memory address of the second memory space. The method and device can meet a requirement for expanding / reducing caching capacity and can also guarantee that users can access caching data normally during a data migration period. Simultaneously, pressure of a data base or a disc is reduced during a data traffic peak period, and the stability of overall service is improved.

The invention discloses a dynamic demand response solving method considering time-of-use pricing. The method comprises steps of adopting a fuzzy clustering algorithm to divide a load prediction curvein a scheduling period into a peak time period, a flat time period and a valley time period; determining corresponding points (p, q) on the basis of historical data fitting demand and price functionsaccording to the load mean value of each time period, and linearizing the functions near the points (p, q); according to the coefficients of the linear function in each time period, respectively calculating the elastic coefficients of the peak time period, the flat time period and the valley time period so as to establish a dynamic elastic coefficient matrix; establishing a dynamic demand responsemodel according to the dynamic elastic coefficient matrix; solving the dynamic demand response model so as to obtain the prices of the peak, flat and valley time periods in the scheduling period anda new load prediction curve formed after implementing the dynamic demand response. According to the invention, the technical problem that the optimal effect cannot be achieved when the demand side response is stimulated through the price change due to the fact that the fixed price elastic coefficient cannot dynamically reflect the relationship between the load characteristics and the time-of-use price in different scheduling periods is solved.

The invention discloses a message interaction method, device and system and relates to the technical field of Internet, aiming at solving the problem in an existing Internet application that the efficiency of an interaction manner between a client and a server is low. The method comprises the following steps: after sending a request to the server by the client, obtaining a request delaying value returned by the server; setting delaying waiting time for sending the request again according to the request delaying value; after reaching the delaying waiting time, automatically sending the request to the server. The message interaction method, device and system are applied to a message interaction process of the server and the client in the Internet application.

The invention discloses a double-layer coordination optimization method based on online intelligent household electrical appliance demand response potential. Participation objects comprise a scheduling center, load aggregators, intelligent household electrical appliances and a user. The optimization method comprises steps that upper-level and lower-level strategies are included, for the upper-level strategy, firstly, demand response potential states of the intelligent household electrical appliances are determined according to operation characteristics of the intelligent household electrical appliances, present work states and an comfort level interval set by the user, and total demand response potential of the load aggregators is further acquired; limited power required by a system is distributed by the scheduling center to each load aggregator according to the proportions of the total demand response potential of each load aggregator to sum of demand response potential of all the load aggregators. For the lower-level strategy, the comfort level of the intelligent household electrical appliances and response frequency are considered, and the limited power is fairly and reasonably distributed to each household electrical appliance by each load aggregator. The method is advantaged in that fairness among the load aggregators is guaranteed, and demand response requirements of the scheduling center can be effectively satisfied.

The invention relates to an offshore wind power generation system with seabed compressed air energy storage. The system comprises an offshore wind power generation unit, an air compression and expansion power generation unit and a seabed high pressure air energy storing device. When electricity generated by the offshore power generation unit exceeds the demand of a power grid, an air compressor ofthe air compression and expansion power generation unit is driven by surplus electricity to fill the seabed high pressure air energy storing device with high pressure air; when the load of the powergrid is increased while the load of the offshore wind power generation unit cannot meet the demand of the power grid, high pressure air in the seabed high pressure air energy storing device is released, and an expansion machine of the air compression and expansion power generation unit acts to drive a power generator to generate power so as to provide a power load to the power grid. According to the invention, energy is stored by means of compressed air to absorb surplus power when the wind power is relatively great and the demand on the load of the power grid is low while the compressed air stored in the seabed expands to act when the wind power is relatively small or the demand on the load of the power grid is high to provide power to the power grid, so that a power regulating function of the wind power generation system is achieved.

The invention relates to a regional load accurate adjustment method based on a virtual power plant technology. The method comprises the stages of enterprise participation, event initiation and preparation and post-event settlement; the server of the regional energy management center establishing an event corresponding to the target demand of power utilization, and determining a response range and a response price of the event; selecting one part from member enterprises forming the virtual power plant, initiating an invitation participating in the event demand response to the client, and tracking a feedback result of the enterprise; and the cloud platform carrying out response quantity statistics according to the invitation response quantity fed back by the enterprise, determining the enterprise invited to participate in demand response when judging that the statistical response quantity meets a target demand quantity, carrying out event countdown, waiting for an appointed time so as to start event execution, and carrying out demand response by the participating enterprise. A virtual power plant system is constructed, users are invited and guided to adjust the energy consumption time, the power resource scheduling is optimized, the power grid supply and demand contradiction is relieved, and the method has the advantages of being practical, marketized and online.

The invention discloses a variable time period spike electricity price optimizing method for aggregation air conditioning. The method comprises the steps that (1) the baseline load of an air conditioning load under a load aggregator is estimated; (2) a mathematical model is established for the process of adjusting the air conditioning set temperature according to electricity price variation for a user; (3) a mathematical model is established for air conditioning load variation process caused by air conditioning set temperature variation; (4) a variable time period spike electricity price optimization model is established; and (5) optimization electricity price is issued to each load aggregator. According to the invention, the variable time period spike electricity price optimizing method for aggregation air conditioning can assign reasonable spike electricity price to guide the user to change the air conditioning set temperature to change an aggregation air conditioning load curve; load reduction amount is acquired; and the user is assisted to participate in electric power peak shaving control by using the air conditioning load.

A removing mechanism is disclosed for removing the bottom or top sheet from a stack of sheets; a delaying member for a delay of a predetermined time between the dispensing of two successive sheets; and an actuating mechanism for driving the removing mechanism, wherein the actuating mechanism is driven via a physically supplied mechanical drive force of an operator of the dispensing apparatus.