454 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 of managing a cell library regarding power optimization is disclosed. The method generally includes the steps of (A) reading a plurality of first modules within a first region of a circuit design stored in a design file, (B) calculating a first merit value indicating a relative sensitivity of the first region to a power consumption, the first merit value having a range from a static power dominated value to a dynamic power dominated value and (C) creating a constraint file configured to limit a design tool to a first subset of a plurality of replacement modules based on the first merit value such that the design tool automatically optimizes the power consumption of the first region by replacing at least one of the first modules with at least one of the replacement modules within the first subset, the replacement modules residing in a library file.

A storage medium recording a cell library having one or more cells that may be readable by a computer and may be used by the computer to design an integrated circuit. The one or more cells may have a physical dimension parameter and a channel width parameter. The physical dimension parameter may be a footprint of the one or more cells. The channel width parameter may have a minimum driver size and a maximum driver size. The channel width parameter may define a range within which a tool varies the channel width between the maximum driver size and the minimum driver size during a design flow of the integrated circuit based upon one or more power criteria without changing the footprint.

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.

Reactive power (VAR) consumption in a power plant or facility having synchronous machines is adaptively controlled in an automated manner. Electrical parameters of the plant are dynamically monitored during plant operation, and the overall plant power system is brought to an optimum operating point under control of a microprocessor-based power measurement system. The microprocessor-based power measurement system adaptively changes the excitation system of synchronous machines in the plant based on results of monitoring. The excitation systems of the synchronous machines may be adjusted to be constant bus voltage, constant reactive power, or constant power factor, according to optimum system performance requirements. The power measurement system also assists in avoiding problems in voltage regulation during increased load demand conditions, such as when starting large electrical motors or energizing large transformers in the system.

The invention provides a reactive power optimization system and a method of a power grid based on a double-fish-swarm algorithm. The system includes a power grid state data acquiring module, a reactive power regulating module and a reactive power executing module. The power grid state data acquiring module includes a power grid state data acquisitor and a relay transmitter. The reactive power regulating module is a control terminal. The reactive power executing module includes generator terminal voltage regulators, transformer tap regulators and reactive power compensation regulators. The method is used for acquiring the initial data to be optimized in the current network; and optimizing the initial data to be optimized in the current network based on a double-fish-swam algorithm so as to obtain optimal value of control variables in the power grid. According to the method, the distribution network to be optimized can realize reasonable reactive power flow distribution.

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.

A method of managing a cell library regarding power optimization is disclosed. The method generally includes the steps of (A) reading a plurality of first modules within a first region of a circuit design stored in a design file, (B) calculating a first merit value indicating a relative sensitivity of the first region to a power consumption, the first merit value having a range from a static power dominated value to a dynamic power dominated value and (C) creating a constraint file configured to limit a design tool to a first subset of a plurality of replacement modules based on the first merit value such that the design tool automatically optimizes the power consumption of the first region by replacing at least one of the first modules with at least one of the replacement modules within the first subset, the replacement modules residing in a library file.

The invention relates to a power system reactive power optimization method giving consideration to off-limit voltage correcting and system active power loss reducing, and belongs to the technical field of power system optimized dispatching control. The reactive power optimization method is based on current power grid ground state flow and includes the steps of firstly scanning a whole grid to judge whether off-upper-limit voltage phenomena exist or not, and as for off-upper-limit voltage nodes, starting reactive power adjustment computing with voltage correcting as an object to eliminate the off-limit voltage; then starting voltage increasing reactive power optimization with system active power loss reducing as an object. The reactive power optimization method meets complexity operation requirements and the requirement, for the reasonable reactive power voltage automatic control computing result, of the power grid, and can be integrated in an automatic voltage control main station system operated in a dispatching center, and therefore the system can provide a control object for a reactive power voltage control strategy in real time through optimization computing according to the operation state of the power grid at present so that the control requirement for safe, high-quality and economical operation of the power grid can be met.

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.

A method for rendering content includes initiating a rasterization of a complete version of webpage content, the webpage content including a set of webpage elements, and setting an original tile pixel resolution of the set of webpage elements to be the same as a screen pixel resolution of a display on a content display device. The method includes rasterizing the set of webpage elements at a lower tile resolution onto a tile buffer, the lower tile pixel resolution differing from the original tile pixel resolution by a scaling factor. The method includes scaling up the set of webpage elements rasterized at the lower tile pixel resolution to the screen pixel resolution of the display. Finally, the method includes compositing the rasterized set of webpage elements onto a display during the rasterization of the complete version of the webpage content, and then compositing the complete version of the webpage content.

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 discloses a reactive power optimization method of an electric power system based on an improved CSO algorithm. The algorithm is a swarm intelligent search algorithm based on an improved CSO (ICSO) algorithm. The reactive power optimization method mainly comprises a horizontal cross operator, a longitudinal cross operator and a differential mutation operator. In horizontal cross, every two of all particles in a population are non-repeatedly paired in the horizontal cross, and the paired particles and the edges thereof are searched and updated in real time; in longitudinal cross, all dimensions are paired and then subjected to arithmetic cross; in differential mutation, all particles are subjected to mutation disturbance and cross and finally subjected to preferential selection; the three operators update the population through the selection operation, so that the convergence rate is accelerated and the population diversity is kept. The reactive power optimization method has the beneficial effects that the convergence speed of the ICSO algorithm is high, information exchange among individuals in the population is complete, the global convergence capability is strong, the particle diversity is good, and the reaction power optimization method has good applicability aiming at the high-dimensionality, multi-constraint and nonlinear complicated practical problem of reactive optimization of the electric power system.

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 relates to an enterprise power grid reactive power optimization method and system based on comprehensive benefit analysis, and belongs to the field of enterprise power grid reactive power optimization dispatching. An enterprise power grid dispatching center overall coordinates generator excitation, voltage regulation and reactive-load compensation equipment through a reactive power optimization dispatching strategy with maximum comprehensive benefits as a target, the reactive power output of a generator, the position of an on-load transformer tap and the optimal switching state and switching capacity of the reactive-load compensation equipment are obtained through a self-adaption genetic algorithm, and the selection of the investment time and place of the reactive-load compensation equipment and the investment capacity of the reactive-load compensation equipment are determined. The enterprise power grid reactive power optimization method and system has the advantages that the reactive power output of the generator, the compensation quantity of compensation equipment, the position of the transformer tap, the cost of each adjusting method and the cost of active power transmission losses are comprehensively considered; the historical data and the operating mode of electric equipment are analyzed, a load model is built, and the load of a time frame to be optimized is predicated through the load model.

The invention provides a power distribution method in a cellular large-scale MIMO system based on PZF precoding, and the method comprises the steps: dividing users into a strong user set and a weak user set according to the strength of channel gain between an AP and each user, employing the PZF precoding for strong user set members, employing the MRT precoding for weak user set members, and obtaining a decellularized large-scale MIMO system model based on PZF precoding; deriving a downlink user rate closed expression according to the system model; establishing an original power optimization problem P1 for maximizing the total rate of downlink users; introducing a slack variable tk, reconstructing the original power optimization problem P1 into an optimization problem P2, converting the optimization problem P2 into a convex optimization problem, and solving the convex optimization problem by using a continuous convex approximation method to obtain an optimal power distribution scheme, namely a suboptimal power distribution scheme of the original optimization problem. Compared with a fixed power distribution scheme, the power distribution method provided by the invention can significantly improve the total rate of downlink users of the system, thereby improving the system performance.

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.

Decode and forward buffer aided relay selection and transmission power allocation systems and method are provided for cognitive radio network that is equipped with multiple-input-multiple-output (MIMO). A low complexity MIMO-based relay selection scheme that maximizes the single-hop normalized sum rate of the primary network (PN) and secondary network (SN) is proposed including a sub-optimal antenna transmission power allocation scheme that maximizes the single-hop normalized sum rate of the PN and the SN is proposed. For power optimization, first, optimal expressions for the transmission power per antenna of both the PN and SN nodes are derived separately. The derived expressions are then used in an iterative algorithm to produce a near-optimum solution that maximizes the normalized sum rate per time slot.

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 distributed reactive power optimization method and device for power system load prediction, and the method comprises the steps: dividing the power load information, meteorological information and holiday information of a prediction place into a test set of a plurality of input neurons and one output sample; establishing an initial LSTM network, and substituting the training set into the initial LSTM network for forward calculation and back propagation training; inputting neuron information required to be used by a prediction day through the trained LSTM network so asto perform load prediction on each time point; analyzing reactive compensation characteristics of the distributed power supply, and collecting target parameters of the distributed power supply to establish a reactive model of the distributed power supply; establishing a power grid reactive power optimization model taking minimum network loss as an objective function; and performing distributed optimization control calculation according to the reactive average utilization rate and the instantaneous communication topology matrix so as to realize distributed reactive optimization. According to the method, rapid and accurate load prediction can be obtained.

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.