75results about How to "Reduce load peaks" patented technology

The invention provides an electric car intelligent charging system and method on the basis of a mobile device and belongs to the technical field of electric car charging positive intelligent control. The system comprises a power grid management center, a station level management server, the mobile device, a charging device and a power battery. The station level management server comprises a data input module, a data processing module, a data feedback module and a historical data memory module and is used for calculating, solving and achieving the real-time optimum order charging scheme, outputting specific charging orders to the charging device and the mobile device and feeding back the charging information. According to the method, the local optimum greedy algorithm is used for solving the real-time optimum order charging scheme, the user interaction character is achieved, and the order charging scheme of an electric car is obtained by carrying out data mining and predicting on the user data and the power grid data and carrying out performance analysis on the power battery. Under the circumstance of ensuring that battery loss is small, the electric car intelligent charging system and the method greatly meet the individual requirements of the users and achieve effective optimization of a power grid.

The invention discloses an intelligent electric park demand response strategy. At present, applicable subjects established by most of intelligent demand models are single residential users, so that diversity and uncertainty of a practical user group are neglected and involvement of a park formed by aggregation of a plurality of users is avoided. The intelligent electric park demand response strategy is implemented as follows: (1), flexible loads of an intelligent electric park are classified according to different demand responses; (2), corresponding demand response strategy models are established for different flexible loads; (3), a corresponding demand response strategy model is established for the intelligent electric park; and (4), effects of users in the park under different demand response strategies are calculated. According to the intelligent electric park demand response strategy, optimized scheduling is carried out on all demand response resources under different electricity price incentive mechanism effects by using user power cost minimization as an objective, so that the user power cost can be reduced and the load electricity behavior can be improved. Therefore, the intelligent electric park can participate in the demand response under a market and competitive mechanism.

The invention discloses a method for optimizing power utilization modes of residential users with orientation to demand response. The method comprises the following steps: building load response dynamic models comprising an air conditioner load response model, a water heater load response model and a lighting load response model of typical power utilization equipment of the residential users; determining a target function of a power utilization mode optimizing model by taking the minimum power utilization cost and highest power utilization manner satisfaction degree of the users as targets; building constraint conditions of the power utilization mode optimizing model, which comprise adjustable constraint of indoor temperature, the water temperature of the water heater and a lighting surface; solving the model by using a particle swarm algorithm combined with the grey theory to obtain state control variables of the air conditioner, the water heater and the lighting load in various time periods and determine the optimal operation manner of each power utilization equipment. The method is applied to optimization examples of different power utilization scenes of the residents and provides a specific reference scheme for the participation of the residential users in the demand response projects, thereby achieving the effects of meeting the power utilization demand, reducing the power utilization cost and optimizing the load peak.

A drive assembly for a vehicle having at least one wheel and an engine is disclosed. The drive assembly transfers a driving force from the engine to the at least one wheel. The drive assembly includes a rotatable input drive shaft. The input drive shaft is operatively coupled to the engine. The drive assembly further includes a rotatable output drive shaft. The output drive shaft is operatively coupled to the at least one wheel. A first transmission operatively connects the input and output drive shafts. An overload clutch is operatively disposed between the input drive shaft and the first transmission to transfer a driving force from the input drive shaft to the first transmission. The overload clutch may be at least partially mounted to input drive shaft.

The invention relates to a control method of a refrigerator applicable to a high-temperature environment. The refrigerator comprises a refrigerating chamber and a chilling chamber, wherein the chilling chamber is internally provided with a compressor, a fan and a chilling temperature sensor; the chilling chamber is internally provided with a refrigerating temperature sensor; an air flue between the refrigerating chamber and the chilling chamber is internally provided with an air door; the compressor, the fan, the air door, the chilling temperature sensor and the refrigerating temperature sensor are connected with a control board arranged in the refrigerator; and the control method comprises the following steps that the control board selects a control mode of the refrigerator to be a common mode or a delaying optimized mode according to a chilling temperature detected by the chilling temperature sensor and then converts into the common mode. According to the control method disclosed by the invention, delaying optimized control is adopted at a high-temperature environment, and chilling and refrigerating load peak values are staggered, so that the total load peak value of the system is reduced, and the normal starting and operation of the compressor are guaranteed. Furthermore, on the premise of not increasing the cost, the starting and operation problems of the refrigerator under the high-temperature environment are solved, so that the stability and reliability of using the refrigerator are improved.

The invention provides a heat prediction management based energy consumption control method in an intelligent building, which comprises the steps of 1, establishing a heat model of the building; 2, establishing a thermodynamic model in a state space; 3, carrying out a schedulability test and judging whether a heat load of the building has schedulability or not under given energy consumption load budget; and 4, operating a model predictive control (MPC) based heat control strategy to solve a corresponding control output variable. According to the invention, an HVAC (heating, ventilating and air conditioning) system in the building is adjusted, and the peak power is enabled to be reduced under various constraints such that the room temperature is small in variation, a task processing constraint is met, and the like. In addition, the system can carry out schedulability analysis very well, and carries out good judgment and correction on whether the current energy consumption budget can meet requirements or not.

The invention relates to a micro-grid system and a micro-grid system-based fuzzy control method. The micro-grid system comprises a fuzzy control system, distributed energy power supply equipment and an electrical appliance, wherein the fuzzy control system is used for acquiring electrovalence information of the conventional grid and the power information of the distributed energy power supply equipment; and the electrical appliance is managed by adopting the fuzzy control system. By adopting the fuzzy control method in the micro-grid system, optimal compromise between the power consumption satisfaction of a user and reduction in a load peak is realized, power consumption peak is avoided, the burden of the micro-grid system is lowered, power consumption expense is saved, and the contradiction between power consumption supply and demand is further relieved.

A method for deciphering control words for mechanically and electronically independent terminals includes causing first and second terminals to transmit a first and second cryptograms to a control-word server, causing that server to decipher them to obtain first and second control words for enabling descrambling of first and second multimedia content broadcast simultaneously on respective first and second channels, causing the server to transmit the control word to the respective terminals, the second control word obtained by deciphering the second cryptogram before the first terminal executes a channel change, and in response to the channel change, causing the first terminal to search to determine whether the second control word has already been transmitted in advance by the server before the channel change, and if the control word has been transmitted in advance, causing the first terminal to immediately start descrambling the second multimedia content with the second control word.

A hollow turbine blade cooled with compressor air is divided into a cooling air chamber (6) and into impingement air cooling chambers (8, 9) by inner, supporting partitions (3, 4). The cooling air is conveyed from the cooling air chamber into the impingement air cooling chamber via impingement air channels (7) provided in the partitions. The impingement air channels are concave with regard to the adjacent outer wall (2) of the blade airfoil (1) and arranged completely in the hot area near the outer wall and, in addition, have an oblong or elliptical cross-section whose longitudinal axis agrees with the radial orientation of the turbine blade. By reduced stress concentration in the area of the impingement air channels, the fatigue and creep characteristics are improved and life is increased.

The invention refers to a machining line, in particular a transfer line or assembly line, comprising a multitude of machining stations arranged one after the other in the direction of machining, and the machining station serves for machining work pieces, wherein at least one machining station is designed as special station. The invention is characterised by the fact that between two adjoining machining stations one conveying device each is provided.

Provided is a constant-power energy-saving dragging method of a beam-pumping unit. A device used by the method comprises the beam-pumping unit, a rod oil-pumping pump and a constant-power output type alternating current induction motor special for the pumping unit and provided with a bell-shaped large-rotary-inertia energy storage fly wheel. The special constant-power induction motor can highly adapt to intense pulsating torque load of the beam-pumping unit under the small current condition, keep a power factor to be about 0.9 under the condition that the ultra-high slip ratio S is equal to 20% and perform high-torque constant-power dragging on the beam-pumping unit. The bell-shaped large-rotary-inertia energy storage fly wheel can release torque which is about 1.5 times of average running toque of the constant-power motor in a stroke pulsating torque peak value interval of the beam-pumping unit and jointly drag a pulsating torque peak value, and can absorb inertial kinetic energy released by a heavy type transmission system of the beam-pumping unit in a torque low-valley interval and torque energy of the constant-power motor during speed rising, enable a whole machine system to run under the smooth load and can thoroughly eliminate a phenomenon that the beam-pumping unit severely wastes enteric energy reversely drags the motor.

The invention relates to an intelligent V2G charging method with a two-stage scheduling structure based on a dynamic integrator. The method takes the influence of charging and discharging of a plug-inelectric vehicle (PEV) on the power grid into account, and considers its influence on the performance of a distribution transformer. In the first stage, the BEE algorithm (BA) is used as an aggregator to optimize and calculate the optimal charging of each plug-in electric vehicle; and in the second stage, the fuzzy logic controller (FLC) is used to distribute power between electric vehicles (EVS). The framework considers nonlinear dynamic characteristics of the plug-in electric vehicle battery in various practical conditions. The main advantages of this method are that the method reduces theload peak, smoothes the load distribution of a transformer, considers the nonlinear dynamic characteristics of the plug-in electric vehicle battery, and performs reasonable energy management of the battery when a charging station disconnects a power supply from time to time.

A tuning peg for a stringed instrument, in particular a guitar, having a winding section, on which a string runs and a fastening means for fixing a free end of the string. To this end, a tuning peg according to the invention comprises a clamping element and, on the tuning peg, an abutment section and a retaining section. The retaining section and clamping element are set up such that the clamping element is displaced axially on the tuning peg along the retaining section and locked in a clamping position. The clamping element and abutment section are set up such that that they clamp and retain a longitudinal section of the free end of the string between them.

A windshield wiper device comprises a controller, a drive unit and a gear that transmits the movement of the drive unit to a wiper shaft. The controller comprises a comparison unit for determining whether the torque output by the drive unit exceeds the predetermined torque, wherein the predetermined torque depends on the position of the wiper shaft. The wind shield wiper device further comprises a reversing unit for reversing the direction of rotation of the drive unit depending on the result of the comparison unit.

The invention relates to a longitudinal control arm for connection of an axle tube to a vehicle frame, the longitudinal control arm extending along a longitudinal direction and comprising an arrangement section on a frame side and at least one arrangement section on an axle tube side, a centerline of the arrangement section on the axle tube side being offset by an offset from a centerline of the arrangement section on the frame side when seen at an angle to the longitudinal direction.

A blade adapter for rotor blades of wind turbines, for increasing the rotor diameter, has a first end for attaching to the rotor hub, and a second end, spaced apart in the axial direction, for connecting to the blade root of a rotor blade. In addition, the blade adapter, at its first and second end, has a pitch circle for connecting to the rotor hub or to the rotor blade, wherein the wall of the blade adapter extending in the axial direction is open outwardly, in the form of a truncated cone, from the first end toward the second end, in at least one portion.

The invention provides an account preference method, an account preference unit and an account preference system. The method comprises the following steps of: generating a virtual bill in a preset time period according to a preference scheme; acquiring the virtual bill after receiving a new bill and adjusting the virtual bill according to the existing bill, the new bill and the preference bill; and generating a preference bill according to the adjusted virtual bill. The account preference method, the account preference unit and the account preference system can realize a real-time account process on the preference measures such as minimum guarantee, time segment and the like so as to realize real-time charge-off for the whole account preference system, enhance the degree of customer perception, reduce systematic risk and defaulting risk and reduce the load peak of the system.

The invention discloses an aggregation air conditioner demand response direct load control method and system, and belongs to the field of power system demand response control. According to the invention, suppression of sudden load change is considered in the start-stop stage of demand response, a queuing method is adopted to control the start-stop time of the demand response of each air conditioner, and the start-stop time of the load demand response of each air conditioner is arranged in a staggered mode, so that the situation that loads instantly and collectively enter a refrigeration or standby state to cause a load peak is avoided; an aggregator can realize aggregation control a terminal air conditioners through an intelligent controller mounted on an air conditioner load terminal, so that the requirement of a final demand response expected target value is met; and load reduction is carried out by adopting a demand response control strategy meeting a load reduction target in a demand response middle period, the set temperature of each air conditioner is increased to a demand response set temperature from the initial set temperature, the operation state enters the standby state from the refrigeration state, and finally the total power of the aggregation air conditioner is reduced, so that the effect of reducing the load peak is achieved.

The present invention relates to an implant system comprising a dental implant (10) and an abutment (12) which consists of a ceramic material. Said abutment (12) comprises a first anti-rotation element with a plurality of grooves and the dental implant (10) comprises a second anti-rotation element complementary thereto and having a plurality of ribs, the grooves being open towards a proximal end (28) of the abutment (12).

The invention discloses a distribution network peak shifting and valley leveling adaptive self-balancing method based on a block chain technology. The method comprises the following steps: S1, building a distribution network peak shifting and valley leveling block chain platform based on the block chain technology; S2, formulating a task smart contract for the user to participate in peak shifting and valley leveling, and storing the task smart contract in a distribution network peak shifting and valley leveling block chain platform; S3, obtaining the capacity of the distribution network by using the intelligent electric meter, and calculating a curve of the capacity of the distribution network and a load; acquiring the real-time electrical load of the user by using the intelligent electric meter; S4, enabling the power gridto monitor a distribution network capacity and load curve, when peak load appears, issuing a task intelligent contract, and guiding a user to participate in peak shifting and valley leveling regulation and control; and S5, performing data traceability evaluation on the distribution network peak shifting and valley leveling adaptive self-balancing method under the block chain technology by taking peak shifting and valley leveling effect maximization as a target. The design can effectively and quickly reduce the load peak value of the power grid and improve the operation safety and stability margin of the power grid under the condition of not influencing the normal power utilization of the user.