441 results about "Power optimization" patented technology

A method, algorithm, software, architecture and/or system for placing circuit blocks and routing signal paths or connections between the circuit blocks in a circuit design is disclosed. In one embodiment, a method of placing and routing can include: (i) routing signal paths in one or more upper metal layers for connecting circuit blocks; (ii) adjusting the circuit blocks based on electrical characteristics of the signal paths; and (iii) routing in one or more lower metal layers connections between the circuit blocks and the upper layers. The circuit blocks can include standard cells, blocks, or gates configured to implement a logic or timing function, other components, and/or integrated circuits, for example. Embodiments of the present invention can advantageously reduce power consumption and improve timing closure in an automated place-and-route flow.

A method and apparatus for design-for-low-power of register transfer level (RTL) controller/data path circuits that implement control-flow intensive specifications. The method of the invention focuses on multiplexer networks and registers which dominate the total circuit power consumption and reduces generation and propagation of glitches in both the control and data path parts of the circuit. Further the method reduces glitching power consumption by minimizing propagation of glitches in the RTL circuit through restructuring multiplexer networks (to enhance data correlations and eliminate glitchy control signals), clocking control signals, and inserting selective rising/falling delays, in order to kill the propagation of glitches from control as well as data signals. To reduce power consumption in registers, the clock inputs to registers are gated with conditions derived by an analysis of the RTL circuit, ensuring that glitches are not introduced on the clock signals.

The invention discloses a computational fluid dynamics (CFD)-based centrifugal pump multi-working condition hydraulic power optimization method. The method comprises the following steps of: 1, establishing an initial specimen bank for centrifugal pump multi-working condition hydraulic power optimization on the basis of external characteristic tests; 2, establishing a CFD-based centrifugal pump multi-working condition hydraulic power optimization model; 3, generating a specimen bank for the centrifugal pump multi-working condition hydraulic power optimization and constructing a response surface approximate model by CFD technology on the basis of single point hydraulic design and uniform design methods; 4, globally optimizing the approximate model by a global optimization algorithm; and 5, performing hydraulic power design on a centrifugal pump by a parametric computer aided design (PCAD) according to optimization results so as to obtain a multi-working condition hydraulic power model of the centrifugal pump. The method can perform the multi-working condition hydraulic power optimization on the centrifugal pump according to the performance requirements under multiple working conditions so as to improve the weighted average efficiency and enlarge the high efficiency area range, and can provide references for unstable flowing under the working conditions of actively controlling low flow and cavitation under the working conditions of inhibiting high flow.

The invention provides a power-gas energy flow distributed cooperative optimization calculation method based on an alternating direction multiplier method. Firstly distributed independent optimization bodies-a power optimization body and a natural gas optimization body are determined according to the research object power-gas interconnection system, and both of the bodies are in the same position; the connection features of the power-gas interconnection system are analyzed, a coupling element model is researched and abstracted as the corresponding coupling constraint, and power flow and natural gas flow shared variables are determined; second-order cone programming sub-problems corresponding to the bodies are constructed accordingly for aiming at the problem of natural gas system pipeline gas flow direction optimization by adopting the McCormick equation and the relaxation technology; and mutual interaction and alternating solution of all the optimization sub-problems can be performed according to the alternating direction multiplier method solving mode, and the convergence can be judged according to the convergence criterion so that distributed cooperative optimization calculation of the power flow and the natural gas flow can be realized.

According to the industrial intelligent control system based on software definition provided by the invention, computing power optimization scheduling and dynamic reconstruction can be realized in a software definition manner, resources are allocated to different industrial control tasks and edge computing tasks as required, and an edge intelligent controller with differentiated control and computing capabilities is constructed; meanwhile, a real-time industrial control task and a non-real-time edge intelligent calculation task are supported, and the method has great significance and practicalvalue for improving the utilization rate of industrial edge equipment resources, improving the overall edge service capability and reducing energy consumption. Besides, real-time control and non-real-time computing task requirements of industrial intelligent control, edge computing, industrial AI and the like can be met, platform capabilities of an edge side and a cloud side are broken through, the method has the advantages of fusion, intelligence, real-time performance and flexible expansion, and a brand-new solution which is efficient, differentiated, low in cost, space-saving and easy to maintain is provided for industrial intelligent control.

The invention relates to a power system operation and optimization technology, and aims to provide a reactive voltage control method based on multi-time-scale multi-agent deep reinforcement learning. According to the method, on-load voltage regulation taps, capacitor banks and energy storage in photovoltaic power, draught fans and loads are all defined as agents, a method based on reinforcement learning is applied to the reactive power optimization problem, and a controller is allowed to learn a control strategy through interaction with a simulation model of a similar system. The action variable of reactive power regulation equipment interacts with a power distribution network environment, and the agents can finally realize the optimal response to the external environment, so that the maximum return value is obtained. The neural network method is used to analyze and fit a strategic function and an action value function of the agents, and the training process does not depend on prediction data results and accurate power flow modeling. By using the two-time-scale reactive power optimization method, the network loss can be smaller, the voltage stabilizing effect is better, and a more remarkable effect on improving the safety and reliability of the distribution network is achieved.

The invention discloses an AVC (Automatic Voltage Control) joint-debugging control method based on the var compensation technology, which comprises the following steps of: installing and configuring a static var compensator (SVC) in a power grid; obtaining the real-time information of the SVC by a control system for the AVC; according to an SVC parameter model and constant value information in the AVC joint-debugging system, carrying out voltage reactive power optimization joint-debugging strategy calculation by combining with the voltage reactive power real-time information; and regulating the SVC and other SVCs with the fixed volume in the power grid. According to the AVC joint-debugging control method, the SVC in the station and the original static reactive power compensation equipment can be controlled in a coordination mode.

Methods and apparatuses to maintain and propagate statistical data during circuit synthesis. At least one embodiment of the present invention maintains and propagates statistical data during and after circuit synthesis transformation operations. In one example, the signal switching activity is calculated once at the RTL level and then propagated and/or maintained at various nodes of the circuit through the process of logic synthesis. Thus, the statistical analysis of entire circuit during or after the logic synthesis is avoided. In one example, power optimization is performed during logic synthesis. A portion of the logic synthesis transformation is driven by the power consumption optimization; and, the statistical data about circuit activity maintained at the nodes of the circuit during the synthesis process is used to calculate the power consumption at various points in the process of synthesis transformation.

Optimizations are provided for late stage reprojection processing for a multi-layered scene. A multi-layered scene is generated. Late stage reprojection processing is applied to a first layer and different late stage reprojection processing is applied to a second layer. The late stage reprojection processing that is applied to the second layer includes one or more transformations that are applied to the second layer. After the late stage reprojection processing on the various layers is complete, a unified layer is created by compositing the layers together. Then, the render the unified layer is rendered.

The invention provides an optimal configuration method of distributed generations (DG) based on a power moment algorithm and relates to a configuration method for accessing the DGs to a power distribution network, which is utilized to solve the problems that a uniform load distribution characteristic or a constant power factor load condition is considered only, or a configuration result is influenced easily by initial parameters, or a condition of random load distribution in an actual power distribution network is not considered, and existing methods are complicated in the prior art. The optimal configuration method of the DGs provided the invention is utilized to respectively define active second moment and active first moment with the beginning of the minimum target function of network loss, thus a power moment method for optimally configuring the DGs is put forward, which comprises the following steps: determining the installation positions of the DGs in accordance with the active second moment; determining active optimization of the DGs in accordance with the active first moment; and determining reactive optimization or compensated reactive capacity of the DGs in accordance with reactive first moment. The method can be also applied to determining the problems of real-time active output power and reactive output power of each DG in real-time scheduling.

The invention discloses a power optimization method for maximizing the minimum safety rate of downlink non-orthogonal multiple access (NOMA) mobile users of an unmanned aerial vehicle, and relates tothe technical field of information and communication. The objective of the invention is to improve the minimum safety rate of downlink non-orthogonal multiple access (NOMA) mobile users of a maximizedunmanned aerial vehicle. The invention designs a power optimization method for maximizing the minimum safety rate of a downlink non-orthogonal multiple access (NOMA) mobile user of an unmanned aerialvehicle. Poower distribution optimization can be carried out on safe transmission of a large number of NOMA mobile users, and meanwhile, limited resources can be effectively utilized, so that the safety rate of the NOMA mobile users can be effectively improved compared with an average power distribution method while certain service quality of Internet of Things services is guaranteed.

The invention discloses a power optimization method and a device and a mobile terminal. The method includes the steps of detecting whether a triggering condition of power optimization is satisfied; when the triggering condition of power optimization is satisfied, recording applications in operation, making the applications from the applications in operation as the applications which can be terminated, and terminating the applications of which the wake lock keeping time exceeds the preset time from the applications which can be terminated. The unnecessary power consumption of the mobile terminal can be effectively avoided, the battery power is saved, the terminal service time is prolonged, and the use experience of the user is improved.

The invention discloses a method for reducing the loss of a micro power grid by establishing a reactive power optimization model of the micro power grid and calculating the reactive power compensation of a capacitor bank in the micro power grid by adopting the optimization algorithm when the current network has the lowest active loss. The reactive power compensation is calculated by adopting the optimization algorithm comprises the following steps: (1) generating an initialization group; (2) calculating the network loss of individuals in the group, searching the individuals with the lowest active loss, saving as the optimal values, and recording the position; subjecting all the individual positions to iteration update according to a update formula, searching the individuals with lowest active loss, saving as the new optimal values and (3) comparing the new optimal values with the original optimal values, returning the individuals of the new optimal values to the last-time iteration position if some optimal values are updated, and outputting the final optimization result after finishing the iterative computation. Compared with the prior art, the method has the advantages of reducing the loss of the micro power grid and improving the overall utilization rate of the electric energy. The selected optimization algorithm is not liable to lead to the local optimization; the equation parameters used for iterative computation are few and convenient to adjust and are more stable.

The invention belongs to the field of wireless physical layers, discloses a wireless energy-carrying NOMA cooperative network power optimization method, and mainly solves the problem of insufficient energy supply of secondary user nodes in an existing NOMA cooperative cognitive radio network. The implementation scheme comprises the following steps: firstly, constructing a NOMA (Non-Orthogonal Multiple Access) cooperative network model based on a radio frequency energy collection technology, and simultaneously receiving signals and radio frequency energy at a secondary user receiver by adoptinga power division architecture; a. An improved genetic algorithm is designed to optimize the power distribution factor and the time slot distribution factor of the model so as to maximize the throughput of the secondary user system. According to the invention, the optimal power distribution factor and time slot distribution factor are obtained, the improvement of the system spectrum efficiency andthe improvement of the energy efficiency of the secondary user system are realized, the service life of the secondary user node is prolonged, and the transmission performance of the whole system is improved.

The invention discloses a power optimization scheduling-based microgrid energy storage system state consistency control method, which belongs to the technical field of control of the microgrid energystorage system. The method adopts time-of-use price, new energy prediction output and energy storage unit battery pack state of energy SOE to determine an energy storage unit operation strategy on thebasis of considering energy storage charge and discharge efficiency and ensuring system active power balance, and considers an energy storage unit battery pack state of energy SOE imbalance problem and time-varying energy storage unit power charge and discharge bearing capability SOP, and a microgrid energy storage system power balance model is built; and besides, through a consistency protocol,energy storage units SOH and SOE are ensured to be consistent, the application performance of the energy storage unit in the energy storage system is improved, the overall charge and discharge times of the energy storage system is effectively reduced, and the service life is improved.

The invention discloses a sweeper operation power calculation device based on the visual perception technology. The sweeper operation power calculation device comprises a camera, a speed sensor, a GPSpositioning device, an industrial personal computer, a vehicle-mounted direct-current power source and a controller. The invention further discloses a sweeper operation power calculation method basedon the visual perception technology. The sweeper operation power calculation method comprises the steps that the road surface garbage types and the coverage rate are obtained according to the visualperception method; Establishing a sweeping disc power fitting model based on a visual perception method, and formulating a fan gear selection rule; And predicting the sweeping disc and fan power of the sweeper under the actual operation condition by combining the garbage types and coverage rates obtained in the step 1 and the sweeping disc power fitting model and the fan gear selection rule established in the step 2. The sweeper is subjected to power optimization based on the energy consumption problem, so that the sweeper can intelligently select the optimal operation power according to the actual operation condition, the intelligent degree of the sweeper is improved, and meanwhile, the purposes of saving energy and reducing power loss are achieved.

The invention discloses a double-layer control method for large-scale energy storage participating in frequency modulation at a power distribution network side, and belongs to the technical field of power systems. The method is characterized in that the switching time of two modes of ACE signal distribution and ARR signal distribution when the large-scale BESS participates in frequency modulationis determined; meanwhile, the technical characteristics of different BESSs are comprehensively considered, upper-layer and lower-layer double-layer control is adopted, wherein the upper-layer control(power economic distribution) aims at minimizing the frequency modulation cost of the frequency modulation power supply, and optimal distribution is carried out on the frequency modulation output of the unit and the BESS within the allowable range, and the economic optimal distribution result of the frequency modulation output is taken as the output reference value of each frequency modulation power supply; and the lower-layer control (frequency dynamic control) performs distributed control on the unit and the BESS by utilizing model prediction control according to the frequency deviation of the system and the frequency modulation power supply output reference value provided by the power optimization distribution layer, so that the dynamic optimization control of the frequency modulation power supply is realized, and the frequency deviation of the system is reduced.

The invention discloses a wireless monitoring system of a municipal pipe network, which is composed of a monitoring node, a Sink node, an upper computer, relevant communication protocols and application software and the like. Optimizing methods for a wireless self-organization communication protocol, energy-saving application, monitoring position selection and the like are further disclosed. The optimizing methods of the wireless self-organization communication protocol include precise synchronization, failure prediction, frequency conversion interference, time division optimization, channel space optimization sharing and the like. An energy-saving application optimizing method includes model selection of low power consumption hardware, design of a power supply protective circuit, optimizing design of a circuit board, a dormant optimizing mechanism, duty ratio optimization, transmission power optimization and the like. A point position optimizing selecting method is particularly a method for searching the most sensitive point in a certain monitoring area. By means of the various optimizing methods, low cost, low power consumption, safety, reliability, intelligence, efficiency and automation of monitoring of the municipal pipe network are achieved.

The invention provides a reactive power optimization method for a power distribution network, a reactive power optimization device for a power distribution network, computer equipment and a readable storage medium. The method comprises the following steps that: 1, the reactive power optimization model of the power distribution network system is obtained; the network loss optimization function of the a power distribution network system and the action loss optimization function of discrete reactive power equipment are converted to a Markov decision process corresponding to the reactive power optimization of the power distribution network according to the reactive power optimization model; and with a state value adopted as an objective, the Markov decision process is solved, the configurationinformation of the discrete reactive power regulation equipment is obtained, and the power distribution network system is configured according to the configuration information, and the reactive poweroptimization of the power distribution network system is realized. With the reactive power optimization method for the power distribution network, the reactive power optimization device for the powerdistribution network, the computer equipment and the readable storage medium of the invention, the low perceptibility of a low-voltage-level power grid is fully considered, worry-free optimization can be realized without modeling the power flow state of the power distribution network; and therefore, the network loss and capacitor actions of the power distribution network system are effectively reduced, so that the economical efficiency of the operation of the power distribution network system is improved.

The present invention provides an increment dual-relay system in cooperation communication and a transmission protocol thereof. Compared with a system having one relay node in the prior art, the increment dual-relay system selects two relay nodes to improve the reliability of the system, and the increment dual-relay system also improve the transmission rate of the system compared with a system having more than three relay nodes. The present invention provides an expression having small approximate calculated amount of an error rate for the system power optimization distribution. A binary system evolution method is used for searching an optimized solution. After the optimized solution is worked out, the optimized solution is employed to perform the system power optimization distribution to further improve the performance of the system and the protocol. The experiment results shows the method provided by the invention is able to allow the performance of the symbol error rate to be greatly better than the best cooperation communication system and protocol after the power optimization distribution in the prior art, and is able to greatly reduce the symbol error rate of the system and the protocol.

The embodiment of the invention discloses a reactive power optimization method and device for a power distribution network, electronic equipment and a storage medium. According to the embodiment of the invention, the output randomness of an intermittent distributed power supply is converted into the randomness of a determined power day-ahead predicted value and a power prediction error, and a wind power prediction error model based on segmented index error distribution and a photovoltaic power prediction error model based on normal distribution error distribution are established; and the reactive power regulation capability of a distributed power supply and an electric vehicle is combined with the rapid dynamic reactive power compensation capability of a static reactive power compensator, reactive power output of the distributed power supply, the static reactive power compensator, a capacitor and the electric vehicle and charging and discharging power of the electric vehicle are optimized and controlled, a multi-target reactive power optimization model of the new energy power distribution network is established, an optimal solution set is obtained through solving by adopting an improved non-dominated sorting genetic algorithm based on a normal distribution crossover operator and an improved congestion degree operator, and an optimal compromise solution from the optimal solution set through an entropy weight method.

The invention discloses an intelligent reactive power optimization control system and method. The system comprises a data acquisition module, an MCU module and a data transmission module which are connected in sequence, wherein the MCU module is connected with the switching control module, the environment monitoring module, the extended output module, the power supply module and the human-computerinterface module;the data transmission module is in wireless connection with the monitoring management cloud platform, and the monitoring management cloud platform is in wireless connection with theterminal. The method comprises the following steps: powering on the system and configuring parameters and peripherals; starting a communication serial port to receive data, and starting tasks such asinterruption of each timer; performing a data communication processing task with SVG reactive power compensation equipment; analyzing and storing the data; returning and uploading the corresponding data; and switching on and off capacitors according to judgment standards. According to the scheme, most of reactive power of the power load end is compensated by using the power capacitor, and then theremaining changed reactive power is compensated by using the SVG, so the compensation performance and the economic performance are combined, and the control balance of SVG and power capacitor combined switching is realized.