68results about How to "Good convergence properties" patented technology

A method for calculating power flow solution of a power transmission network with unified power flow controllers is adapted to calculate the power flow on a large-scale power transmission network. The unified power flow controller has a series transformer, a series converter, a direct current coupling capacitor, a shunt converter, and a series transformer. The shunt transformer is connected electrically to a sending-end bus. The series transformer is connected electrically to the sending-end bus and a receiving-end bus. The unified power flow controller is represented by equivalent active and reactive loads on the sending-end and receiving-end buses of the power transmission network.

The invention discloses a self-adaptation compression reconstruction method based on energy effectiveness observation in a cognitive sensor network. The self-adaptation compression reconstruction method based on the energy effectiveness observation in the cognitive sensor network comprises the steps that (1) a node carries out local detection and compression measurement on data which are actually sensed through an analog transcriber according to the characteristic that power consumption of the node of a cognitive sensor is limited, (2) a space-time relevance structure of sensing signals is used, sensing data are mapped to a wavelet orthogonal basis cascading dictionary to carry out sparse conversion and to carry out self-adaptation observation through a weighting energy subset function, appropriate observation values are obtained in an energy effectiveness mode, orthogonalization is carried out on selected observation vectors to construct a measurement matrix, (3) the sensing data after compression measurement are fed back to an aggregation node through a report channel, the aggregation node carries out self-adaptation reconstruction on the sensing data by using a gradient projection sparse reconstruction Barzilai-Borwein method based on a convex relaxation method, and effective compromise between reconstruction performance and energy consumption of the node is achieved. The self-adaptation compression reconstruction method based on the energy effectiveness observation in the cognitive sensor network can carry out accurate reconstruction on the sensing signals, ensures energy effectiveness of the sensing node, and has actual application significance.

An electric power steering apparatus for applying an assisting steering force to a steering mechanism of a vehicle by driving an electric motor according to a steering operation includes: an electric current command value calculation unit which calculates an electric current command value; a drive control unit which controls the drive of the electric motor based on the electric current command value; and a convergence control unit which determines a damping compensation value so that a quantity of steering operation is converged to a neutral point. The convergence control unit includes: a compensation electric current setting unit determines a basic damping compensation electric current value corresponding to the correction value of the target value, and a compensation electric current adjusting unit which adjusts the basic damping compensation electric current value based on the steering torque and the quantity of the steering operation, thereby calculating the damping compensation value.

The invention discloses an improved fuzzy neural network bus intelligent scheduling method based on a chaos theory, and belongs to the field of intelligent transportation. According to the improved particle swarm bus intelligent scheduling method based on the chaos theory, advantages and complementarity of various algorithms are fully utilized, a series of improvement measures are also introduced, such as conjugate gradient optimization, and inertia factor and constraint factor of the particle swarm algorithm etc., the mechanism and the search performance are researched from the theoretical and practical perspectives, problems of poor global search capability and premature convergence of the conventional optimization algorithm are fundamentally solved, the diversity of population can be obviously increased, the global search capability is obviously improved, the problem of fuzzy information can be effectively dealt with, the convergence speed is fast, and a new high-efficiency method is provided for bus intelligent scheduling.

The invention discloses a micro-grid energy management distribution type multi-target cooperation optimization algorithm based on a potential game. The algorithm comprises the following steps of 1) micro-grid component unit modeling which includes a determination decision main body, a decision variable, a component constraint and multi-target modeling; 2) potential game modeling, wherein an incomefunction and a potential function are vector functions; and 3) based on the distributed game solving of the multi-target optimization algorithm, mainly using a multi-target evolutionary algorithm tosolve the pareto optimal solution set of the income function, and through distributed iteration, solving nash equilibrium. In the invention, a distributed multiagent decision optimization mode is adopted, a potential game theory possessing a distributed characteristic is combined, the expansion of a microgrid is easy to realize, local management and local decision making are realized too, system reliability and flexibility are increased, through a game mode, the distributed multi-target optimization is realized, the competition and cooperate relation of the microgrid and an individual is achieved, and individual interests are guaranteed and the overall benefits of the microgrid are maximized.

Disclosed is a simulated-annealing and conic optimization based power distribution network operation optimization method. The method includes: inputting basic parameters and information according to a selected power distribution system; according to the basic parameters and the information, establishing a mathematical model of power distribution network operation optimization problem concurrent with an interconnection switch and an intelligent soft switch and setting rotating cone constraints according to the network structure and scale to form a conic optimization model of the power distribution network operation optimization model concurrent with the interconnection switch and the intelligent soft switch; according to the basic principle of a simulated annealing method and network topological constraints, randomly generating a feasible switch-state combination, and performing calculation on the cone optimization model of the power distribution network operation optimization problem concurrent with the interconnection switch and the intelligent soft switch by adopting a cone optimization tool; outputting a calculation result and analyzing the optimal calculation condition by the aid of the simulated annealing principle. States of the interconnection switch in the power distribution system and transmission power of an SNOP (soft normally open point) are considered from the economic perspective of operation of the power distribution system, and the optimum switch combination of the interconnection switch in the power distribution network and the optimum transmission power of the SNOP are determined.

The invention discloses a power distribution network energy dispersion coordination and optimization method based on reweighted acceleration Lagrangian. The method establishes a multi-time scale linear cone optimal power flow module and utilizes a virtual auxiliary variable split node to decompose the power distribution network into a plurality of area sub systems, and puts forward a dispersion coordination and optimization method based on local area reweighted acceleration Lagrangian to implement dispersion coordination and optimization of active and reactive resource of the whole network. The power distribution network energy dispersion coordination and optimization method enables each sub system to realize parallel synchronization iterative solution, and has no requirement for overall coordination, and only a small quantity of information interaction is required between adjacent sub systems. The power distribution network energy dispersion coordination and optimization method is high in calculating efficiency and is high in convergence characteristic.

An adaptive equalization apparatus comprises an equalizer for equalizing a playback signal read from a recording medium, using tap coefficients; a maximum likelihood decoder for subjecting an equalized signal outputted from the equalizer to maximum likelihood decoding; a first delay unit for delay-adjusting the playback signal to make the signal coincide with the timing of a tentative decoded signal that is obtained in the process of maximum likelihood decoding; a second delay unit for delay-adjusting the equalized signal to make the signal coincide with the timing of the tentative decoded signal; and a coefficient adaptive controller for adaptively controlling the tap coefficients so that an error in the maximum likelihood decoding is minimized, on the basis of the tentative decoded signal, an output of the first delay unit, and an output of the second delay unit.

The invention discloses a fault diagnosis parameter recognition method of a realtime electronic circuit, comprising the following steps: all element parameter increment of a to-be-tested electronic circuit is substituted by an equivalent power supply; a circuit is excited repeatedly by a current source at a testable node to obtain an impedance matrix Zm of testable node voltage and testable node current excited by the testable node voltage and the mixed matrix H of the testable node voltage and the equivalent power supply; the testable node voltages of a to-be-tested circuit and a normal nominal circuit are measured and the difference value of the voltages is calculated, thereby establishing a circuit testing and diagnosis characteristic equation; the element parameter increment and node voltage increment are taken as optimizing variable to establish a parameter recognition equation through making use of the optimization theory and combining with the testing and diagnosis characteristic equation; moreover, the parameter recognition equation is solved through making use of a neural network and a transconductance neural network based on the augmented lagrangian multiplier method; finally, fault recognition is completed according to the output of the neural networks. The fault diagnosis parameter recognition method which has the advantages of realtime character and high locating accuracy is suitable to be used under quick diagnosis condition in modern industry.

The invention relates to an acquisition method of model parameters of the electromechanical transient state simulation of a motor based on factory data, which estimates the motor single-cage model parameters suitable for the electromechanical transient state simulation of an electrical power system on the basis of the factory data (such as rated power, rated power factor, maximum torque multiple, rotor rotation speed, and the like) of an induction motor. The algorithm sufficiently considers the torque-slip physical principle characteristics of the motor, has good convergence and high robustness and provides convenience for the selection of the motor model parameters adopted in the simulation of the electrical power system.

The invention discloses a cognitive radio network power distribution method with multichannel cooperative communication. A cognitive radio network is at least formed by two master user transmit-receive ends, two secondary user transmit-receive ends, one relay transmit-receive end and two channels based on an underlay spectrum sharing mode. Secondary users and master users can transmit respective data in the same channel at the same time, and the secondary users can transmit data with the cooperation of a relay device. Strict power control is required to be implemented when the secondary users transmit the data, so that the interference caused on the communication of the master users is ensured to be no more than interference limitation. The method aims to enable the two secondary users to reasonably distribute power on the two channels so as to maximize respective transmission capacity, and ensures that the interference on the two master users is lower than the limitation at the same time. A power distribution problem is modeled as a non-cooperative game, which is proved to meet the supermodel characteristic, so that balance exists. According to a favorable convergence property of a supermodel game, a best response updating algorithm is provided for reaching a break-even point, so that reasonable power distribution is realized.

The invention provides a load model building method of considering load frequency characteristics. The method comprises the following steps: obtaining a frequency characteristic curve of a load component; calculating an active power-frequency characteristic coefficient and a reactive power-frequency characteristic coefficient of the load component; dividing the load component into a static load and a dynamic load according to the load characteristic; calculating the active power-frequency characteristic coefficient and the reactive power-frequency characteristic coefficient of the static load; calculating the active power-frequency characteristic coefficient and the reactive power-frequency characteristic coefficient of a load node; and determining a mechanical torque coefficient of an asynchronous motor of the load node. According to the load model building method, the defect that a traditional load model cannot accurately describe the load frequency characteristics is overcome; the simulating calculation credibility of a power system is improved; and a forceful guarantee is provided for scientific planning and safe and stable operation of the power system.

The present invention discloses a cognition-type blind source separation radiant source extraction method and an evaluation method thereof. The method of spectral estimation based on matrix eigenvalue decomposition is employed to obtain the estimated values of the irradiation source direction and the number, the constant false alarm detection technology is employed to determine the number of the irradiation sources, and the blind source separation method is employed to realize the separation of the blind source signals to obtain the separation signals of the irradiation source signals. The cognition-type blind source separation radiant source extraction method and the evaluation method thereof can recover relatively independent irradiation source signals in the condition of the unknown number of the irradiation source signals and have good separation precision.

The invention provides a building method of a motor load model. The method comprises the following steps: building the motor load model; carrying out accident simulating calculation on the motor load model; and determining frequency characteristic parameters of the motor load model. According to the building method of the motor load model provided by the invention, frequency parameters of various motor loads are accurately determined; and the method has great significance in improvement of the simulation precision and guarantee of the safety and the reliability of normal operation of a power grid. Torque-slip physical mechanism characteristics of motors are fully considered; the motor load model is good in convergence characteristics and high in robustness; the defect that a traditional load model cannot accurately describe load frequency characteristics of an asynchronous motor cluster is overcome; the simulating calculation reliability of a power system is improved; and a strong guarantee is provided for scientific planning and safe and stable operation of a power system.

PCT No. PCT/JP95/01401 Sec. 371 Date Jan. 14, 1997 Sec. 102(e) Date Jan. 14, 1997 PCT Filed Jul. 14, 1995 PCT Pub. No. WO96/02935 PCT Pub. Date Feb. 1, 1996An electron energy filter includes a first pair of magnetic poles for generating a first deflecting magnetic field and a second pair of magnetic poles for generating a second deflecting magnetic field in the same direction as the first deflecting magnetic field. The incident electrons are deflected about 90 DEG with a trace radius of AM1 through the effect of the first deflecting magnetic field, passed through a free space having a distance DL2 that is about a half of the trace radius AM1 and then are incident to the second deflecting magnetic field. The electrons are deflected about 180 DEG with a trace radius AM2 that is about a half of the curvature radius AM1 and are passed through the free space DL2. Then, the electrons are incident to the first deflecting magnetic field again where those electrons are deflected about 90 DEG . The deflected electrons are traveled like a gamma trace so that those electrons outgo in the same direction as the incident one. This filter so designed is made compact and to have a smaller aberration.

The invention discloses an active power distribution network distributed type reactive optimizing method based on an equal network loss increment rate. The control method comprises steps that step 10) initialization: partition reactive optimization parameters are initialized; step 20) partition reactive optimization solution: according to a partition trend calculation result, the equal increment rate is used to solve reactive power adjustment amounts of various distributed power supplies and reactive compensation devices; step 30) inter-partition information interaction: information interaction between adjacent partitions is carried out, and the operation states of the partitions are updated; step 40) convergence determining: whether active power deviation of a main station node is smaller than a predetermined convergence threshold is determined, and when the active power deviation of the main station node is smaller than the predetermined convergence threshold, iteration is stopped, and when the active power deviation of the main station node is not smaller than the predetermined convergence threshold, whether a maximum iteration time is achieved is determined, when the maximum iteration time is achieved, the iteration is stopped, and when the maximum iteration time is not achieved, the iteration time is plus one, and the step 20) is carried out again. The control method is advantageous in that based on a distributed type communication architecture and an equal network loss increment rate rule, convergence speed is fast, and the reactive distributed type coordinated optimization of a plurality of partitions and distributed type optimization of global network losses are realized, and robustness of active power distribution network reactive optimization control and reliability of power supply are improved.

The invention relates to a load flow calculation method for an AC/DC parallel serial system based on an improved LM algorithm. The method comprises the following steps: (1) acquiring a load flow calculation equation set F(X) of the AC/DC parallel serial system, setting an initial iteration point and an initial self-adaption factor, wherein iteration K=1; (2) acquiring a jacobian matrix of the iteration at k time according to F(x); (3) gaining a damping factor of the iteration at k time according to the self-adaption factor of the iteration at k time, thereby acquiring an iterative step length and an approximate iterative step length of the iteration at k time; (4) calculating a choice factor of the iteration at k time and adjusting the iteration point and the self-adaption factor according to the choice factor, thereby acquiring the iteration point at k+1 time and the self-adaption factor for the iteration at k+1 time; and (5) judging if an iteration ending condition is met, if so, acquiring the load flow calculation data of the AC/DC parallel serial system, otherwise, assigning k=k+1 and returning to the step (2). Compared with the prior art, the method provided by the invention has excellent convergence character.

The invention provides a side cloud collaborative digital twin intelligent production scheduling application operation position adaptation method. An applied intelligent production scheduling system comprises a cloud layer, an edge layer and a device layer. The generated digital twinning systems are arranged on the edge layer and the cloud layer; and an adaptive strategy controller is arranged on the cloud layer. The adaptation strategy controller dynamically senses edge and cloud resource states, application attributes and the like in the production process, and carries out real-time adaptation switching on the operation position of the digital twin intelligent production scheduling application under two conditions of a determined environment and a non-determined environment by taking minimization of digital twin intelligent production scheduling decision period delay as a target; and real-time adaptive switching is performed on the operation position of the digital twin intelligent production scheduling application based on prediction in an uncertain environment. By adopting the method provided by the invention to determine the operation position of the digital twinning intelligent production scheduling application, the performance loss caused by delay of data interaction and instruction issuing based on a digital twinning system is reduced, and the guarantee based on the digital twinning production scheduling precision is improved.

The invention discloses an axial induced velocity calculation method of a rotor system inducing flow field based on a finite state, and relates to the axial induced velocity calculation method of therotor system inducing flow field. The invention aims to solve the problems that the existing calculation method is hard to pay both attentions to rapid calculation and rapid convergence at the same time. The process includes steps of firstly, acquiring coordinates of inner testing point sets of an upper space of a rotor plane under an ellipse coordinate system; secondly, setting a maximum harmonicparameter, solving corresponding matrix parameters according to the maximum harmonic parameter, and solving formulas as shown in the description according to corresponding coefficients and corresponding matrix parameters; thirdly, solving formulas as shown in the description; fourthly, solving the axial induced velocity of the induced flow field at the upper testing point of the rotor plane; fifthly, calculating the axial induced velocity of the induced flow field at the upper testing point of the rotor plane according to a reconstruction model; sixthly, calculating the axial induced velocityof the induced flow field at the upper testing point of the rotor plane according to optimized reconstruction model. The invention is applied to the field of induced velocity calculation of the rotorsystem.

The invention provides an implicit finite element parallel method based on two-level domain decomposition. The method comprises steps: a solving procedure of implicit finite element nonlinear analysisis established; second-order domain decomposition is used to establish the parallel solving procedure of implicit finite element nonlinear analysis; the preconditioner is selected and the LPCG solveris established to solve the equilibrium equations of Newton iterative method; a correlation diagram is constructed; the weighted balanced coloring algorithm is used to parallelize the preconditionerand realize the overlap of computation and communication. The invention has the advantages that each processor can carry out fine-grained parallel computation by adopting two-level regional decomposition; combining unstructured correlation graph with weighted coloring algorithm, the parallel computation within and between regions can be well realized. The HW preconditioner can reduce the computational time and has better performance.