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43results about How to "Realize multi-objective optimization" patented technology
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Method for carrying out face three-dimensional reconstruction at any viewing angle on basis of self-adaptive deformable model
Owner:TSINGHUA UNIV
Micro-grid capacity programming method meeting coupling type electric cold and heat demand
InactiveCN106022503ASolve the problem of optimal allocation of capacityRealize multi-objective optimizationEnergy industryForecastingMicrogridSupply energy
The invention discloses a micro-grid capacity programming method meeting a coupling type electric cold and heat demand, comprising: establishing a micro-grid capacity energy supply device capacity programming model meeting a coupling type electric cold and heat demand, and a micro-grid capacity energy supply device optimum capacity programming calculation method based on the multi-target particle swarm technology. According to the mode, the method solves the problem that a current programmed micro-grid needs to simultaneously provide power supply and cool supply (or heat supply) for users, and the problem of capacity optimum allocation among different energy supply devices when a coupling relation exists between electric cold supply and electric heat supply. The model realizes multi-target optimization under the condition of considering engineering, economy and security constraints of micro-grid energy supply devices.
Owner:BEIJING RUIXIN TECH CO LTD
Adaptive vehicle following algorithm based on improved model prediction control
ActiveCN107808027AImprove the optimal solutionImproved Predictive ControlGeometric CADDesign optimisation/simulationBrake pressureLeast squares
Owner:UNIV OF SHANGHAI FOR SCI & TECH
Micro-grid energy management distribution type multi-target cooperation optimization algorithm based on potential game
ActiveCN108347062AGood convergence propertiesGuaranteed convergenceSingle network parallel feeding arrangementsForecastingAlgorithmPower grid
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.
Owner:SOUTH CHINA UNIV OF TECH
Method for optimally selecting thighbone prostheses based on material performance multi-objective optimization
InactiveCN103530466AAchieve optimizationDesign fusionSpecial data processing applicationsElement modelElement analysis
The invention discloses a method for optimally selecting thighbone prostheses based on material performance multi-objective optimization, and relates to the field of thighbone prosthesis design. The method comprises the step of utilizing the finite element analysis method for conducting the multi-objective optimization on the thighbone prostheses so as to achieve optimal selection of individualized thighbone prosthesis. The method is characterized by comprising the steps of extracting a thighbone internal contour line and a thighbone external contour line, structurally designing a thighbone prosthesis handle, structurally designing a ball head, assembling a thighbone model and a prosthesis model, selecting thighbone prosthesis materials, establishing a finite element model, setting determined material parameters, constructing a material matching mode and loads, and optimizing evaluation indexes and multiple objectives. The material matching scheme of the ball head and the prosthesis handle is the optimal scheme obtained on the premise that the thighbone prosthesis bearing capacity, the thighbone prosthesis service life, the thighbone prosthesis stress shielding and thighbone prosthesis deformation are optimized under the individual thighbone mechanical environment, the problem of optimally selecting the artificial prostheses is solved by initially applying the fuzzy matter-element theory, and due to the introduction of the method, the multi-objective optimization design of the thighbone prostheses is achieved.
Owner:HARBIN UNIV OF SCI & TECH
Optimization method for QoS (Quality of Servie)-based trusted Web service composition
InactiveCN107070704AGuaranteed credibilityImprove optimization efficiencyData switching networksUser needsComposite services
The invention discloses an optimization method for a QoS (Quality of Servie)-based trusted Web service composition. The method comprises the following steps: firstly, evaluating the credibility of the services by analyzing a historical behavior of the services, so as to remove bad services that do not meet the requirement, and obtain the QoS-based trusted Web service as an alternative service for the global optimization of the subsequent service composition; and then using an improved multi-objective Cuckoo search algorithm to realize the multi-objective optimization of the Web service composition, so as to improve the optimization efficiency of the service composition, and finally obtain a composite service that meets the user need and ensures the credibility of the service.
Owner:SOUTHEAST UNIV
Optimal configuration method of distributed combined cooling heating and power system
InactiveCN103065197AGuaranteed global optimalityOptimized for full time domain coverageSimulator controlEnergy industryPollutant emissionsEngineering
Owner:CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD
Optimum design method used for cross beam structure of numerical control machine tool and employing extreme dimension adjustment
ActiveCN103310064ARealize multi-objective optimizationEasy to operateSpecial data processing applicationsNumerical controlLower limit
The invention discloses an optimum design method used for a cross beam structure and employing extreme dimension adjustment. The method optimizes the distribution pattern of inner rib plates of the cross beam structure and the key dimension adjustment of the structure. The method comprises the steps of obtaining the cross beam structure with better static and dynamic characteristics by confirming the distribution pattern of the inner rib plates of the cross beam structure, conducting sensitivity analysis on the key dimension according to performance indexes to be achieved within the adjustable range of the dimension, dividing a dimension variable into high sensitivity and low sensitivity, increasing the dimension of the high-sensitivity variable to an upper limit, decreasing the dimension of the low-sensitivity variable to a lower limit, modeling for finite element analysis, conducting repeated adjustment by sequentially decreasing the dimension of the high-sensitivity variable and sequentially increasing the dimension of the low-sensitivity variable according to analysis results, and obtaining the new cross beam structure. The optimum method is reasonable and simple to operate, and can realize optimization design of the cross beam structure of a machine tool.
Owner:NANTONG GUOSHENG INTELLIGENCE TECH GRP CO LTD
Structure parameter optimization method and device of wireless charging magnetic coupling device
ActiveCN110504726ASolve weak coupling abilitySolve the shortcomings of low transmission powerBatteries circuit arrangementsCharging stationsCouplingEngineering
The invention discloses a structure parameter optimization method and device of a wireless charging magnetic coupling device. The method comprises the following steps: building a magnetic circuit model according to the magnetic coupling device to be optimized for obtaining an incidence relation between electromagnetic induction parameters of the magnetic coupling device and preset structure parameters of the magnetic coupling device; acquiring constraint conditions set for the electromagnetic induction parameters and the structure parameters; and taking the incidence relation as a target function, and screening out structure parameter values meeting the constraint conditions through iteration. According to the magnetic coupling device, the defects that a traditional magnetic coupling device is weak in coupling capacity and low in transmission power can be effectively overcome; the electric energy transmission effect of the magnetic coupling device can be effectively improved; the complex design process of optimizing the size of the magnetic coupling device can be simplified; the design efficiency is improved; and the size and the weight of the magnetic coupling device can be effectively reduced.
Owner:HARBIN INST OF TECH AT WEIHAI +1
Niche sorting particle swarm algorithm based dynamic characteristic optimization method for electromagnetic mechanism
ActiveCN105045984AImprove global search performanceRealize multi-objective optimizationSpecial data processing applicationsLower limitParticle swarm algorithm
Provided is a niche sorting particle swarm algorithm based dynamic characteristic optimization method for an electromagnetic mechanism, and belongs to the technical field of dynamic characteristic optimization of electromagnetic mechanisms. The invention aims to solve the problem that at present, only single-objective optimization can be carried out in an optimization algorithm that is used to solve a dynamic characteristic of the electromagnetic mechanism. The optimization method comprises the steps of: firstly, determining dynamic characteristic optimization parameters and an optimization objective function; secondly, determining upper and lower limits of each dynamic characteristic optimization parameter and an additional constraint index that relates to the dynamic characteristic optimization parameter; thirdly, obtaining initialized data of each dynamic characteristic optimization parameter; fourthly, performing calculation to obtain a corresponding optimization objective function value; fifthly, selecting an individual optimal position of a particle parameter and a global optimal position of a whole population, so as to obtain Pareto solution set distribution of the optimization objective function; and sixthly, carrying out measurement or biased selection on the optimization objective function value in the Pareto solution set distribution obtained in the fifth step. The optimization method is used for dynamic characteristic optimization of the electromagnetic mechanism.
Owner:HARBIN INST OF TECH
Passive energy-saving reverse design system and method for high-rise building
PendingCN111291442AEmbody pioneeringReflect forward-lookingGeometric CADDesign optimisation/simulationControl engineeringBuilding design
The invention belongs to the technical field of building indoor environment design, and discloses a passive energy-saving reverse design system and design method for a high-rise housing, and the method comprises the steps: determining a design parameter variable and a design target according to a building design type; analyzing the influence of different factors on the thermal environment and theenergy consumption condition of the building by utilizing the test data; analyzing influence rules of passive factors on building thermal environment and energy consumption under different combinationconditions by adopting a computer simulation method in combination with the building information model; determining influence characteristics and value ranges of different passive factors on buildingenergy consumption; establishing a rapid prediction model to analyze the influence relationship of the high-sensitivity parameters on the building thermal environment and energy consumption; obtaining a design scheme solution set meeting a target requirement based on the rapid prediction model; and establishing a multi-objective optimization model, carrying out data fitting, and outputting a passive energy-saving strategy of the high-rise residence. According to the method, the reverse design convergence is ensured, and meanwhile, the reverse design calculated amount is reduced by 40%.
Owner:HUBEI UNIV OF TECH
Multi-agent unmanned electric vehicle battery replacement scheduling method based on Internet of Vehicles
PendingCN112163720AArtificial intelligence reinforcement learning technology improvementWeaken the impact of scheduling decisionsCharging stationsParticular environment based servicesElectric-vehicle batteryPower exchange
According to a multi-agent electric vehicle battery replacement scheduling method based on the Internet of Vehicles, a vehicle-road cooperative service is deployed on an MEC platform, and man-vehicle-road cooperative interaction is realized by means of a Uu interface or a PC5 interface and communication modes such as VANET, 4G or 5G; according to a map around an electric vehicle with a battery replacement service requirement, a roadside unit divides a battery replacement station cluster with a high potential cooperation matching degree into a whole and gathers the battery replacement station cluster into a battery replacement area, and the battery replacement area with the maximum service capability probability shares a plurality of electric vehicles with the battery replacement service requirement at the same time; the service rate of each battery swap station is taken as an assessment target to mainly assess the self-service capability, self-service quality and sitting information ofeach battery swap station node and the current self-state of the electric vehicle with the battery swap requirement; and the optimal joint action of global electric vehicles is provided, so that theoverall service balance of each battery swap station is maintained, and the long-term performance of the Internet of Vehicles is improved. According to the invention, the electric vehicle can exchangepower as soon as possible, and each power exchange station can maintain service balance.
Owner:HARBIN ENG UNIV
Jet pump multi-objective optimization method based on neural network model and NSGA-II genetic algorithm
PendingCN112949165AReduce computational difficultyHigh cost of solutionDesign optimisation/simulationConstraint-based CADGenetics algorithmsNetwork model
The invention provides a jet pump multi-objective optimization method based on a neural network model and an NSGA-II genetic algorithm. The method mainly comprises the steps that jet pump design parameters, optimization objectives and constraint conditions are determined, and sample point design parameters are obtained based on a sampling method; an optimization target value corresponding to the sample point design parameter through CFD software simulation is acquired. the sample point data is used to construct a neural network model of jet pump design parameters and an optimization target, and prediction precision is verified. based on the neural network model, an NSGA-II genetic algorithm is adopted to obtain a final optimization result. the CFD method is combined with the neural network model and the genetic algorithm, the problem that complex optimization design is difficult to solve due to multiple parameters and multiple disciplines is solved, the calculation difficulty is reduced, the problems that an optimization design method based on CFD simulation or experiments is high in cost and long in consumed time in the past are solved, multi-target optimization of the jet pump is achieved. The special design requirement for the lift ratio in actual engineering is met, and the hydraulic performance of the jet pump is effectively improved.
Owner:HARBIN ENG UNIV
Feedback comprehensive dynamic scheduling networked control apparatus for electric vehicle
ActiveCN105610662AReduce data transfer volumeImprove control effectProgramme controlElectric testing/monitoringPeriodic schedulingArea network
The invention belongs to the field of control of an electric vehicle, particularly a feedback comprehensive dynamic scheduling networked control apparatus for the electric vehicle. The feedback comprehensive dynamic scheduling networked control apparatus for the electric vehicle comprises a comparison module, a controller module, a periodic scheduling module, a priority scheduling module and an integration module; the comparison module is connected with a driver instruction apparatus and a direct connected sensor, and meanwhile, the comparison module is connected with each sensor of the vehicle by a CAN (Controller Area Network) network; the output end of the comparison module is respectively connected with the priority scheduling module, the periodic scheduling module and the controller module; the output ends of the priority scheduling module, the periodic scheduling module and the controller module are respectively connected with the integration module; and the integration module is connected with a vehicle actuator by the CAN network. The control apparatus adopts multi-parameter comprehensive dynamic regulation based on vehicle control performance feedback, not only achieves inhibition on influence of network-induced delay on system control real-time performance, but also reduces a network data transmission quantity and improves the network transmission priority preemption problem, and is very beneficial to system expansion.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
RSM-based motor multi-objective optimization design method
ActiveCN110442931AShorten the optimization design cycleComparableSustainable transportationSpecial data processing applicationsAlgorithmMathematical model
The invention discloses an RSM-based motor multi-objective optimization design method. The method comprises the following steps of S1, establishing an RSM fitting model; and s2, carrying out orthogonal optimization. According to the RSM-based motor orthogonal optimization method, the relation between system response and input variables is obtained by analyzing a small amount of test data, a systemmathematical model is established, on the basis, an orthogonal design method is adopted to design a test scheme, the established mathematical model is applied to predict a test result, and orthogonalanalysis and optimization are carried out on the prediction result.
Owner:LANZHOU UNIVERSITY OF TECHNOLOGY
Temperature control method of power battery, AMPC controller, thermal management system and medium
ActiveCN113224412AReduce energy consumptionRealize multi-objective optimizationCells structural combinationSecondary cells testingPower batteryTemperature control
The invention provides a temperature control method of a power battery, an AMPC controller, a thermal management system and a medium. The thermal cycle topological structure of the power battery comprises a battery pack and a temperature control device. The temperature control method comprises the following steps of: establishing a temperature control prediction model of the power battery according to a thermal cycle topological structure of the power battery; respectively acquiring the predicted temperature of the battery pack and the energy consumption information of the temperature control device by using the temperature control prediction model and a plurality of groups of preset temperature control parameter information; according to a preset optimization performance index and a target function, selecting one group of temperature control parameter information from the plurality of groups of temperature control parameter information as control input of the temperature control device; and correcting the temperature control prediction model in real time according to the obtained state parameters of the battery pack. According to the temperature control method of the power battery, the AMPC controller, the thermal management system and the medium provided by the invention, the temperature of the battery pack of the power battery can be controlled to be within / close to an appropriate range under the condition of not increasing any hardware cost, and the energy consumption of an actuator can be reduced.
Owner:UNITED AUTOMOTIVE ELECTRONICS SYST
Method for controlling voltage of photovoltaic power station based on neural networks
ActiveCN112600244AActive and reactive sensitivity coefficientsTo achieve voltage controlForecastingSingle network parallel feeding arrangementsOvervoltageMathematical model
The invention discloses a method for controlling the voltage of a photovoltaic power station based on neural networks. The control method comprises the following specific steps that step 1, a bus voltage active power neural network and a bus voltage reactive power neural network respectively output corresponding sensitivity coefficients of bus voltage active power and bus voltage reactive power toa model prediction controller; and step 2, the model prediction controller constructs a mathematical model of bus voltage and node injection active power and reactive power via the sensitivity coefficients of the bus voltage active power and the bus voltage reactive power issued by an upper-layer control architecture. According to the method for controlling the voltage of the photovoltaic power station based on the neural networks, the overvoltage and undervoltage problems of the bus of the photovoltaic power station can be solved, the practicability and expandability of the method based on sensitivity analysis are effectively improved, and the method has important significance for safe operation of a power distribution network and can promote energy internet construction, improve power service quality and optimize utilization of various resources.
Owner:江苏派尔高智能科技有限公司
A method for selecting the optimal grid connection position of distributed power source
InactiveCN108988385ARealize multi-objective optimizationStrong global search capabilitySingle network parallel feeding arrangementsAc networks with different sources same frequencyGrid connectionDistributed power
The invention relates to a method for selecting the optimal grid connection position of a distributed power source, which is characterized in that the method comprises the following contents: establishing a distribution network model containing the distributed generation, establishing a model for optimizing the configuration of grid-connected distributed generation based on a pseudo physical algorithm, establishing a multi-objective optimization process, and the like. Through calculation and analysis, the optimal installation position of distributed generation in distribution network and the optimal analysis of its admittance capacity after fixing the installation position of distributed generation are obtained,the methodhas strong robustness, adaptability and high practical application value.
Owner:STATE GRID CORP OF CHINA +1
Method and system for cross-layer cooperation of cognitive wireless network
InactiveCN103200572ARealize managementMeet different needsNetwork traffic/resource managementWireless network protocolsCross layer designData transmission
The invention discloses a method and a system for cross-layer cooperation of a cognitive wireless network. The method includes the steps that a transmission quality criterion is determined; a final working layer needed by transmission is determined, and various layers of information determined to be needed by a transmission scheme is transmitted to the final working layer; on the final working layer, the transmission scheme meeting the transmission quality criterion is chosen according to the various layers of information; and the chosen transmission scheme is estimated, the optimal scheme is determined according to an estimation result, and data transmission is carried out on the final working layer through the optimal scheme. According to the method and the system, the defect that a traditional cross-layer design scheme only stresses on single object optimization without consideration of network overall performance is overcome, and mutual conflict of various self-adaptive processes is avoided.
Owner:ZTE CORP
Circulating current suppression direct prediction control method and system for parallel converter cluster
ActiveCN113193766AEliminate zero-sequence circulationTake full advantage of physical limitsEmergency protective circuit arrangementsAc-dc conversionThree-phase electric powerCirculating current
The invention provides a circulating current suppression direct prediction control method and system for a parallel converter cluster. The method comprises the following steps of: obtaining a three-phase current value of a converter cluster at the current moment, and carrying out coordinate transformation and delay compensation; predicting a current value at a subsequent moment according to the compensated three-phase current value, calculating cost functions according to the predicted value, comparing all the cost functions, and selecting a voltage vector minimizing the values of the cost functions as an optimal voltage vector; for the compensated three-phase current value, calculating a zero-sequence circulating current, and selecting a zero voltage vector according to the direction of the zero-sequence circulating current at the current moment k; and according to the obtained optimal voltage vector and the zero voltage vector, constructing a synthetic voltage vector, and obtaining a switching signal sent to the converters to eliminate the circulating current. On the premise of accurately controlling the output current, the zero-sequence circulating current between the parallel converters can be effectively eliminated.
Owner:SHANDONG UNIV
Packet-aggregation-based selection cooperation method in multi-source multi-target network
ActiveCN108834194ATransmission performance improvement or equalizationRealize multi-objective optimizationPower managementSite diversityDependabilitySmall data
The invention, which belongs to the field of cooperative communication, relates to a packet-aggregation-based selection cooperation method in a multi-source multi-target network. For many multi-sourcemulti-target networks with M source nodes and N target nodes in a wireless sensor network, an association matrix among the source nodes is constructed and thus each multi-source multi-target networkis converted into N multi-source single-target networks, wherein the M is larger than the N; according to the characteristic of the small data packet in network node transmission, a packet aggregationstrategy is employed for data transmission of the N multi-source single-target networks and thus a packet-aggregation-based selection cooperation method put forward. According to the invention, on the basis of mutual cooperation and data packet aggregation between source nodes having the same target nodes, the reliability of the system is improved, the energy consumption of the system is reduced,and the spectrum utilization rate is increased. The packet-aggregation-based selection cooperation method has the great practical application value.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Multi-target radiation shielding design method
PendingCN111859804AAvoid choiceRealize multi-objective optimizationDesign optimisation/simulationMulti-objective optimisationNuclear engineeringRadiation shield
The invention discloses a multi-target radiation shielding design method. The method comprises the following steps: 1) modeling a shielding model needing to be optimized in radiation particle transportation software; 2) substituting the initial value QG with the number of N generated by the radiation particle transport software into the radiation particle transport software as an optimization parameter for calculation; 3) evaluating the value of each target function; 4) selecting a plurality of initial values; 5) obtaining a plurality of new individuals RG; 6) taking the plurality of new individuals RG obtained in the step 5) as new initial values; turning to the step 3); and obtaining the Pareto optimal leading edge of each target until a termination condition is satisfied, and performingradiation shielding design according to the Pareto optimal leading edge of each target. According to the method, the radiation shielding design can be realized on the basis of multi-objective optimization, and the weight relationship between the objectives can be provided, so that a shielding designer can balance and select an appropriate solution according to the actual situation.
Owner:XI AN JIAOTONG UNIV
Optimal configuration method for photovoltaic photo-thermal complementary power generation system
PendingCN114548544AReasonable configurationMeet the needs of peak shavingForecastingSingle network parallel feeding arrangementsControl engineeringProcess engineering
The invention belongs to the technical field of solar hybrid power generation, and particularly provides a photovoltaic photo-thermal complementary power generation system optimal configuration method, which comprises the following steps: building a subsystem model, carding boundary conditions of the subsystem model, and setting operation limiting conditions of the subsystem model on a time sequence; setting an optimization target of the subsystem; a swarm intelligence algorithm is applied to encode variables of the subsystem, simulation is performed through a subsystem model after encoding, and a subsystem fitness function is obtained based on a simulation result; performing iterative optimization on the fitness function of the subsystem according to the target of the subsystem; and judging whether the iterative optimization is terminated or not, and configuring the subsystem according to the optimized subsystem fitness function. The problem that an existing photo-thermal power generation system cannot achieve optimal configuration of the system is solved, reasonable technical configuration of the photovoltaic photo-thermal system can be achieved, and parameter configuration of a photo-thermal power station can meet the requirement for peak regulation of the system.
Owner:ECONOMIC RES INST OF STATE GRID GANSU ELECTRIC POWER
A multi-objective intelligent optimization method for inlet elbow of pipeline pump
PendingCN109408861ARealize multi-objective optimizationImprove efficiencyGeometric CADDesign optimisation/simulationImpellerGenetic algorithm
The invention relates to a pipeline pump inlet elbow multi-objective intelligent optimization method, which adopts a commercial mathematical software MATLAB 2017b to run a genetic algorithm script main program and set algorithm parameters; the Latin hypercube sampling method is used to create the sample data. The obtained chromosome parameters are substituted into CREO 4.0 to establish the water model of the sample inlet elbow. The inlet elbow water body diagram is imported into ANSYS Meshing 18.0, and the inlet pipe mesh is drawn. The impeller grids and still water grids obtained in are substituted into ANSYS CFX 18.0 for constant values. Latin hypercube sampling is used to initialize chromosomes in the computational domain. Solving chromosomes and obtaining their objective function values; Read the calculation results and solve the pareto boundary; Judge whether the Pareto front is stable or not, if not, cross and mutate the chromosomes to obtain a new set of chromosomes, and then return to continue iteration; if so, the iteration is stopped and the optimization result is output. This method has the advantages of high optimization efficiency, good computational accuracy and highoptimization success.
Owner:JIANGSU UNIV
Steelmaking quantity distribution control method for steelmaking continuous casting planned material flow direction setting
ActiveCN110766253APrecise flow settingEasy to adjustTechnology managementResourcesLogistics managementDistribution control
The invention relates to a steelmaking quantity distribution control method for steelmaking continuous casting planned logistics flow direction setting. The method includes: establishing a steelmakingquantity distribution linear programming model; accurately calculating the steelmaking distribution quantity meeting the flow direction requirements of downstream procedure logistics in the steel production process; evaluating and adjustinga steelmaking quantity distribution scheme according to user requirements; and issuing the steelmaking quantity distribution scheme to a steelmaking continuouscasting planning system. Accurate flow direction setting can be provided for a steelmaking continuous casting plan, and the problems that a manual setting mode is extensive and difficult to quantizeare solved.
Owner:BAOSHAN IRON & STEEL CO LTD
Distributed multi-objective collaborative optimization algorithm for microgrid energy management based on potential game
ActiveCN108347062BGood convergence propertiesGuaranteed convergenceForecastingSingle network parallel feeding arrangementsMulti objective optimization algorithmAlgorithm
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.
Owner:SOUTH CHINA UNIV OF TECH
Household equipment energy consumption multi-objective optimization method and system based on IBAS algorithm
The invention discloses a household equipment energy consumption multi-objective optimization method and system based on an IBAS algorithm, and the method comprises the steps: dividing typical household equipment into a schedulable interruptible load, a schedulable non-interruptible load and a non-schedulable load based on a controllable household load classification method, and establishing user demand side load scheduling models respectively; according to the on-off state of the equipment in each time period obtained by the user demand side load scheduling model and corresponding constraint conditions, establishing a multi-target optimization scheduling model of the household energy management system by taking the lowest household user power consumption cost, the minimum load peak-to-average ratio and the maximum user comfort as targets; converting a multi-objective optimization scheduling model of the household energy management system into a single-objective function to serve as an optimization function of the system by adopting a weighted combination and multiplication and division method, and solving the optimization function of the system by adopting an improved IBAS algorithm to obtain equipment power utilization arrangement of the next day of a family for day-ahead optimization scheduling. According to the method, the comfort level of the user is improved, and multi-objective optimization of the household energy consumption equipment is realized.
Owner:XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
Household energy multi-target optimization method based on GA-BFO
ActiveCN110376897AReduce electricity consumption schedule for the next dayLow costAdaptive controlDynamic equationElectric vehicle
The invention discloses a household energy multi-target optimization method based on GA-BFO. The method is characterized by according to a load characteristic of household electrical equipment and a user demand, classifying the household electrical equipment, and establishing a control model and an optimization constraint for schedulable equipment; establishing three optimized target functions ofminimum power cost, minimum PAR and maximum user comfort; establishing a target function expression of load transfer and solving the target function expression through using a GA-BFO algorithm to obtain next day arrangement of household schedulable equipment; and in a scheduling day, when a system receives a rescheduling request of a user, recording information of the equipment which needs to be rescheduled, establishing the target function expression, converting a real-time scheduling problem into a knapsack problem, and using a dynamic equation to solve, obtaining real-time scheduling arrangement of the equipment which needs to be rescheduled so as to complete multi-target optimization. The method is used to coordinate and manage the schedulable electrical equipment in a family and an electricity utilization mode of an electric vehicle, which can effectively reduce household electricity cost, decrease PAR and improve user comfort.
Owner:XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
Data center virtual machine placement method and system, medium and equipment
PendingCN113094149AFast convergenceIncrease elasticityEnergy efficient computingSoftware simulation/interpretation/emulationAlgorithmData center
The invention discloses a data center virtual machine placement method and system, a medium and equipment, N virtual machines and M physical machines are given, p sequences po are initialized at the same time, and each sequence represents a sequential request sequence of the N virtual machines and serves as an original population; a physical machine in which the virtual machine should be placed is selected for each sequence pi in the original population by adopting an optimal adaptation method, a temperature rise index is calculated after the virtual machine is placed through an evaluation function, and the physical machine with the minimum temperature rise index in the current sequence pi serves as a current target physical machine; an initial population of the genetic algorithm is obtained through p times of circulation; crossover and mutation operation is performed on each sequence in the obtained initial population, the fitness of each sequence is calculated through a fitness function, and the population of the next iteration is selected by using a roulette algorithm, after t rounds of iteration, a physical machine sequence with the minimum fitness function value is selected to serve as a sequence with the minimum energy consumption and the most average temperature distribution, and virtual machine placement is completed; energy saving and hot spot avoiding targets can be achieved.
Owner:XI AN JIAOTONG UNIV
A Direct Predictive Control Method and System for Circulation Suppression of Parallel Converter Cluster
ActiveCN113193766BEliminate zero-sequence circulationTake full advantage of physical limitsEmergency protective circuit arrangementsAc-dc conversionConvertersPhase currents
The present disclosure proposes a direct prediction control method and system for circulating current suppression of a parallel converter cluster, including: obtaining the current value of the three-phase current of the converter cluster at the current moment and performing coordinate transformation and delay compensation; for the compensated three-phase Current value, predict the current value at the subsequent time, calculate the cost function according to the predicted value, compare all the cost functions, select the voltage vector with the smallest value as the optimal voltage vector; calculate the zero-sequence circulating current for the compensated three-phase current value , according to the zero-sequence circulating current direction at the current time k, select the zero-voltage vector; according to the obtained optimal voltage vector and zero-voltage vector, construct a composite voltage vector, and obtain the switching signal sent to the converter to eliminate the circulating current. On the premise of precisely controlling the output current, the zero-sequence circulating current between parallel converters can be effectively eliminated.
Owner:SHANDONG UNIV
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