28 results about "Power minimization" patented technology

The invention discloses a control method of a flat wire motor. The method comprises the following steps: constructing an optimal current instruction table taking a rotating speed and a torque as indexes; if the motor is in the dynamic working condition, directly looking up a table to obtain a current optimal current instruction; if in a steady-state working condition, performing online search by taking a table look-up result as an initial point: generating two-dimensional Bernoulli random disturbance, and sequentially applying positive and negative disturbances to the initial point; respectively measuring the input power under the two disturbances; according to the ratio of the positive and negative input power difference to the corresponding disturbance component, synchronously calculating gradient estimation vectors of the system input power to d-axis and q-axis current; according to a steepest descent method, the current instruction is updated in the reverse direction of the gradient, an optimal instruction enabling the input power to be minimized is obtained, and an inverter is driven to control a motor to operate. According to the method, through a hybrid control strategy combining dynamic table look-up and steady-state online search, the total loss minimization of the flat wire motor under all working conditions in consideration of alternating current copper loss is realized, and the rapidity of dynamic response is ensured.

The invention discloses a particle swarm optimization-based power distribution area energy storage and reactive compensation coordinated optimization method, which comprises the following steps of: constructing a power distribution area power flow model, and setting operation constraint strips of an energy storage device, a reactive compensation device and a photovoltaic power supply; according to the method, the problem of maximizing the photovoltaic consumption capacity of the power distribution area is converted into the problem of minimizing the photovoltaic overflow power when light is not abandoned, constraint conditions and safe operation boundaries of elements of the power distribution area are considered, the minimum total network loss of a system and the minimum total photovoltaic overflow amount in a period of time are taken as objective functions, a coordinated optimization model is established, and the optimal power consumption of the power distribution area is reduced. The particle swarm optimization algorithm is adopted to optimize the charging and discharging amount of the energy storage device and the compensation amount of the reactive power compensation device in the time period, solving of the optimal operation scheme of the power distribution area is achieved, and on the premise that safe and stable operation of the power distribution area is guaranteed, the network loss can be reduced, the photovoltaic permeability is improved, and the energy consumption is reduced. And the operation safety and economy of the power distribution area are improved.

The present disclosure relates to a method for transmission in a hardware impairment-based intelligent reflecting surface (IRS)-assisted non-orthogonal multiple access (NOMA) network, including: constructing an NOMA network system assisted by an IRS; constructing a base station transmission power minimization model based on a user quality of service (QoS) constraint, a successive interference cancellation (SIC) constraint, and a reflective phase shift constraint; solving the base station transmission power minimization model to obtain an optimal transmission scheme, and controlling the NOMA network system to transmit according to the optimal transmission scheme; the base station transmission power minimization model including an active beamforming vector optimization sub-problem and a passive beamforming vector optimization sub-problem.

To provide a method for optimizing STAR-RIS assisted in-vehicle wireless secure communication beamforming.SOLUTION: First, constructing a STAR-RIS assisted multi-in-vehicle user MISO downlink communication system model is considered in a scenario where eavesdropping users exist. Next, for an energy splitting mode of the STAR-RIS, an optimization problem for minimizing the power of a multi-antenna base station in the system is established by simultaneously optimizing the base station's transmission beamforming and STAR-RIS's transmission and reflection coefficient matrices. Finally, the original problem is solved by separating it into two sub-problems using an alternating optimization method. The present invention utilizes STAR-RIS to support physical layer security, improves the communication quality of in-vehicle wireless systems, and can achieve spatial coverage of the entire area and at the same time effectively reduce the total transmission power of the base station.SELECTED DRAWING: Figure 1

The geometric weighting power control method of underlay D2D communication in cellular network comprises the following steps: Step 1, obtaining the target function of a pair of "cell link-D2D link" power distribution model; Step 2, establishing constraint conditions according to the characteristics of the cellular link and the D2D link; Step 3, converting the distribution model in Step 1 into a linear programming standard form according to the constraint conditions in Step 2; Step 4, solving the power distribution in Step 3 by graphical method. The purpose of the application is to solve the Underlay mode D2D communication in the cellular network with the maximum throughput or energy efficiency EE or weighted energy efficiency WSEE as the target. Due to the characteristics of the target function, the power distribution problem is generally non-convex, which needs to be obtained by iteration, and the complexity is relatively high, and the optimal solution is difficult to obtain. A power distribution method for a pair of "(uplink) cellular link-D2D link" in underlay D2D communication based on weighted power minimization is provided.

Embodiments of the present application provide a data transmission method and device of a distributed system, equipment and a storage medium, and relate to the technical field of communication. The method comprises: obtaining server computing power related to the energy consumption of each terminal device, and then obtaining target power according to the server computing power, signal transmission power and beamforming power of the receiving end; accumulating all target powers to obtain total power; minimizing the total power to generate an optimization objective function; solving the optimization objective function under the premise of meeting a constraint condition set to obtain target transmission parameters of each terminal device on a corresponding channel. Users are stratified according to data requirements, and different resources are allocated to users with different delay requirements, so that the mobile devices of the users can meet their own requirements while avoiding unnecessary computing burden. The overall optimization modeling is performed in combination with the energy consumption of all mobile devices in the transmission process, so that the total network energy consumption is reduced on the basis of ensuring smooth transmission.

A method for determining an optimal condensing temperature of a refrigerant being used in a compressor-condenser-arrangement is presented, comprising the following steps: determining an actual operating condition of the compressor-condenser-arrangement; determining base-values of compressor-operation; determining base-values of condenser-fan-operation; determining an actual value of compressor-operation and calibrating the base-values of compressor-operation, and / or determining an actual value of condenser-operation and calibrating the base-values of condenser- fan-operation; determining a total power and determining the operating condition of the compressor-condenser-arrangement for which the total power is minimized and determining the condensing temperature for this operating condition as the optimal condensing temperature. Furthermore, an apparatus adapted to carry out the method and an according computer program are described.

The present invention belongs to the field of energy storage technology, and specifically relates to a two-level energy management method for an energy storage system, comprising: pre-constructing a degradation model of an electric / hydrogen energy storage device and establishing a first objective function based thereon; pre-constructing an equivalent hydrogen consumption model and a hydrogen consumption model of the electric / hydrogen energy storage device and establishing a second objective function based thereon; obtaining the net load electric power at the current moment; analyzing the first objective function with the goal of minimizing the degree of degradation of the system to obtain a reference power of the electric / hydrogen energy storage device; minimizing the equivalent hydrogen consumption of the system, and analyzing the second objective function based on the reference power of the electric / hydrogen energy storage device to obtain the input / output power of the electric / hydrogen energy storage device; and adjusting the power distribution between the electric / hydrogen energy storage devices according to the corresponding input / output power. The present invention can not only reduce the degree of degradation of the energy storage system, but also reduce its equivalent hydrogen consumption, which is beneficial to the sustainable operation of the energy storage system.

An idle plug and play port freezing and carbon dioxide (CO2) minimizing system executing on an information handling system may comprise a plug and play device controller, processor, or embedded controller executing code instructions of the idle plug and play port freezing and CO2 minimizing system to receive a notification that a user presence is not detected and to identify a first peripheral device port operably connected to a first peripheral device from among a plurality of peripheral device ports, where the first peripheral device port has an associated first peripheral device communications profile that indicates a status of push notifications enablement with the first peripheral device, and to cease power supply to the first peripheral device port in the absence of a read / write session currently executing on the peripheral device port and no push notifications enabled to decrease power consumption and CO2 emissions.

The application discloses a kind of underground cavern group construction ventilation network energy consumption minimization method, it is related to ventilation network optimization and energy consumption control technical field, this method includes: constructing dynamic ventilation network perception and reconstruction model during construction, and the topological structure is dynamically updated by multi-source sensor and construction progress log;Based on Hardy Cross method, the theoretical air flow distribution satisfying physical conservation is solved;Fusion theoretical air flow and real-time data, construct Hardy Cross-GB hybrid prediction model, train gradient boosting regression to correct prediction bias, output air flow and energy consumption prediction value;Based on the model, the system total power minimization objective function is constructed, the frequency conversion strategy of fan is optimized under the constraint of air demand and the control instruction is output.The application realizes dynamic ventilation network accurate simulation and real-time energy efficiency optimization, significantly reduces the energy consumption of ventilation system, guarantees construction safety and control stability.

The invention relates to the technical field of distributed power supply and energy storage capacity optimization, in particular to a wind-light-hydrogen storage system optimal capacity configuration method and device based on a non-cooperative game, and the method comprises the steps: building a peak regulation operation model of a wind-light-hydrogen storage system; taking wind power, photovoltaic and hydrogen-super capacitor hybrid energy storage systems as three game parties, taking the maximization of the income of each game participant as an optimization target, and considering the safe operation constraints such as the minimization of the exchange power between a micro-grid system and a power grid and the stability of system power flow to establish an optimal capacity configuration model; a dynamic weight grey wolf optimization algorithm is used for searching for a Nash equilibrium point for maximizing the income of each game participant, and access capacity distribution of each investment benefit subject is completed. By considering the operation characteristics of the hydrogen energy storage and the super capacitor in the wind-solar hydrogen production system, the influence of the randomness and volatility of wind power and photovoltaic power output on the system is effectively reduced, and the optimal capacity access problem of the wind-solar-hydrogen-super capacitor hybrid energy storage system is solved.

The invention belongs to the technical field of communication and inductance integration, and particularly relates to an ISAC system power minimization method based on STAR-RIS assistance. The method comprises the following steps: constructing an STAR-RIS-ISAC full-space downlink model, and establishing a joint beam forming optimization model taking minimization of base station transmitting power as a target under a base station maximum transmitting power constraint, a user communication service quality and security constraint and an STAR-RIS phase shift constraint. An original non-convex problem is decomposed into two non-convex sub-problems by adopting an alternating optimization algorithm, and the sub-problems are converted into solvable convex optimization problems by utilizing semi-definite relaxation, successive convex approximation and Taylor expansion, so that an active beam forming vector of a base station and an STAR-RIS passive beam forming vector, namely an optimal joint resource allocation scheme, are obtained. According to the method, the transmitting power of the base station can be effectively reduced, the effectiveness of the scheme on a sensing target in an ISAC system is proved, and meanwhile, when an eavesdropper exists, the communication and sensing capabilities can be balanced, and resources can be reasonably allocated to ensure the service quality of a user.

The invention relates to a geometric weighted power control method for bottom layer D2D communication in a cellular network. The method comprises the following steps: Step 1, obtaining a target function of a power distribution model between a pair of cellular links and D2D links; step 2, establishing constraint conditions according to the characteristics of the cellular link and the D2D link; 3, according to the constraint conditions in the step 2, converting the distribution model in the step 1 into a linear programming standard form; and step 4, solving the power distribution in the step 3 through a graphic method. The invention aims to solve the technical problems that the power distribution problem of Underlay mode D2D communication in a cellular network with maximization of throughput or energy efficiency EE or weighted energy efficiency WSEE is generally non-convex due to the characteristics of an objective function, the power distribution problem needs to be obtained by adopting an iteration mode, the complexity is relatively high, and an optimal solution is difficult to obtain. The invention provides a weighted power minimization-based power distribution method for a pair of '( uplink) cellular links-D2D links' in bottom layer D2D communication.

The application discloses an intelligent changing method for the balance diameter of a mechanical seal, which comprises the following steps: S1, installing the mechanical seal at the opening of a pump body, and making the pump body enter a working state; S2, collecting the data of a rotating speed sensor, a temperature sensor and a pressure sensor when the pump body is working, and determining the optimal balance diameter according to the data; and S3, according to the optimal balance diameter determined in step S2, controlling the shutoff of the connecting pipes corresponding to the communication cavities and the discharge pipeline, making the sealing ring at the optimal balance diameter of the static compensation ring enter a working state, and completing the change of the optimal balance diameter. The application can complete the intelligent change of the balance diameter of the mechanical seal, improve the maximum use pressure range of the mechanical seal, and actively realize the minimization of the torque of the mechanical seal, the minimization of the consumed power and the maximization of the sealing life under the premise of meeting the sealing leakage requirement.

The present application relates to a kind of active power-frequency multi-stage collaborative control method and system, method includes: with system frequency deviation and active power minimization as control target, considering the constraint of active power output and rotor speed, active power-frequency control model is constructed;According to the model transformation of system frequency variation, inertia support and optimal control model of fast frequency modulation stage and frequency modulation recovery stage are formed;Optimal control model is transformed into optimal quadratic programming model considering linear part and nonlinear part using predictive control strategy mechanism;Optimal control strategy is obtained by solving.Considering the nonlinear constraint of rotor speed of large slip operation of energy storage type phase modifier and wind turbine unit, the active power output of energy storage type phase modifier and wind turbine unit is efficiently cooperated, the frequency support capability of wind power system is improved, and it has good popularization and application value.

The invention relates to the technical field of wireless charging, and discloses a vehicle-mounted multi-mode coupling adaptive wireless charging system, which comprises a system modeling module, a real-time parameter identification module, an optimization problem construction module, an optimal excitation solving module and a driving waveform synthesis module. A vehicle-mounted multi-mode coupling self-adaptive wireless charging method comprises the following steps: identifying a system model in real time through detection and response, constructing and solving an optimization problem which aims at minimizing total input power and meets multiple constraints, obtaining an optimal excitation vector, and synthesizing a driving waveform according to the optimal excitation vector to realize efficient and self-adaptive wireless charging. According to the method, the coupling state is sensed in real time, and the global optimization problem with the minimum total input power as the target is constructed and solved. According to the method, multi-device charging requirements and receiving and transmitting safety constraints are considered, and efficient, safe and self-adaptive multi-target parallel wireless charging is realized by cooperatively controlling the transmitting coil.

The application provides an air-conditioning machine room performance dynamic optimization control method and system based on ESN and SSA, and the method comprises the following steps: collecting real-time operation data of an air-conditioning machine room; inputting the real-time operation data of each device into a pre-constructed ESN model of each device; dynamically generating operation stability of each device according to the real-time operation data; combining the ESN energy consumption model and the operation stability of each device to construct a multi-objective optimization function, searching for an optimization control strategy of the device by using an SSA algorithm; executing the optimization control strategy, collecting feedback data of the device, rolling updating an input sequence of the pre-constructed ESN energy consumption model and performing model updating iteration, and forming a control strategy for a next control period. The application constructs a multi-objective optimization framework which simultaneously satisfies system total power minimization and device operation stability maximization, and can keep the air-conditioning machine room energy efficiency and operation stability optimal under the condition that the air-conditioning machine room load and device state dynamically change.

The present invention relates to an optimization method for a multi-RIS-assisted MIMO-NOMA system based on power minimization, belonging to the field of wireless communication technologies. The method includes: S1: constructing a multi-RIS-assisted MIMO-NOMA system; S2: by jointly optimizing the transmit beamforming matrix V of the base station and the RIS phase shift matrix Φ, expressing the beamforming design method as a constrained optimization problem P1, and minimizing the total transmit power of the base station in the MIMO-NOMA system under the constraints of RIS phase shifts and the minimum rate constraints of users; S3: solving the optimization problem P1 by an alternating optimization method. The present invention can solve the problem that in future scenarios, the excessive number of co-cluster users leads to inaccurate base station power allocation mechanisms, and complete the differentiation of intra-cluster users by using RIS assistance to achieve efficient SIC.

The present application relates to a kind of based on double RIS auxiliary ISAC system power minimization method, belong to the technical field of integrated sensing and communication.For the lack of existing double RIS auxiliary ISAC system power optimization research, non-convex problem is difficult to solve and hardware constraint complex leads to high power consumption, the present application constructs double RIS auxiliary ISAC system model, establishes base station transmitting power minimization resource allocation problem, uses alternate optimization algorithm to decompose into three sub-problems of base station active beam forming, RIS2 phase shift optimization, RIS1 phase shift optimization, combined with algebraic transformation, continuous convex approximation and semi-positive definite relaxation solution, obtain joint beam forming scheme.The present application effectively reduces base station transmitting power, guarantees multi-user communication and radar sensing performance, improves system energy efficiency and coverage ability, applicable to complex sheltered environment.

The application discloses a reconfigurable gain T-type impedance network module and a control method thereof. The module comprises left and right series arms configured with the same type of passive resonant elements, and a middle parallel arm configured with passive resonant elements of a type opposite to that of the left and right series arms. Meanwhile, the gear switching states of the left series arm, the middle parallel arm and the right series arm are synchronously controlled by external unified switches at a designed working frequency, so that each gear satisfies a three-arm target impedance relationship, gain reconfiguration in different gears is realized, and approximate constant current output or constant voltage output is obtained at an output end. The input side presents a near-zero phase angle operation characteristic, so that AC power transmission efficiency is maximized and reactive power is minimized. The application has the characteristics of modularity, reconfigurability and simple operation, can realize multi-gear gain reconfiguration through passive elements at a fixed working frequency, and achieves the purposes of AC constant current and constant voltage, high-efficiency energy transmission and accurate power regulation.

The invention discloses a power grid confrontation and defense method and system based on robust-lightweight Transform model optimization, and the method comprises the steps: taking hyper-parameters, such as the number of attention, the type of an activation function, the number of layers, the learning rate and the discard rate, in Transform-Ender as decision variables; a model with good multi-classification detection benign sample F1 score performance in the optimization process is used as an adversarial attack replacement model, an adversarial sample is generated based on a projection gradient descent attack, the number of model parameters after adversarial training is introduced, and minimization of multi-classification detection benign sample 1-F1 scores and an adversarial attack success rate is used as optimization targets. And designing a multi-target discrete optimization technology based on an elite individual external archiving mechanism to carry out offline optimization iteration, and carrying out online deployment on the obtained robust-lightweight Transform model so as to realize confrontation and defense of the intelligent power grid intrusion detection system.

The present invention provides a hybrid vehicle (HEV) intelligent energy management method based on slope prediction, comprising the following steps: establishing models for each energy source and the entire vehicle; predicting the total power demand using a long-short-term memory (LSTM) network based on the vehicle's current slope and speed; employing a fuzzy-controlled adaptive low-pass filter and an equivalent power minimization strategy to perform hierarchical power processing; and constructing a HEV energy management system based on slope prediction. Learning objectives include the total equivalent hydrogen consumption of each energy source, the lifespan of the fuel cell, and the system-on-chip (SoC) of the energy storage system under predicted slope. An efficient hybrid experience replay technique is designed to update the network in the intelligent algorithm. This method allows for online optimization and adjustment of HEV energy management based on road slope information. By using real-time road slope prediction, the optimal strategy can be updated in complex and random driving environments.

A SWIPT multi-hop relay power minimization method and system based on throughput constraint, and the method comprises the following steps: under the constraint that the throughput of a multi-hop relay wireless communication system is not lower than a required minimum reachable rate threshold, minimizing the transmitting power of a source node by jointly optimizing the PS ratio of each relay and the transmitting power of the source node. The invention aims to solve the technical problems that in the existing SWIPT multi-hop relay technology based on the PS protocol, the optimization target is single, energy efficiency and performance are difficult to consider, optimization variables are isolated, cooperation of power and PS ratio is lacked, the method complexity is high, and the real-time requirement is difficult to meet, so that the overall performance of the network and the energy efficiency of the system are influenced, and the system performance is influenced. The SWIPT multi-hop relay power minimization technology based on the throughput constraint is provided.

The invention discloses an intelligent power grid automatic load distribution method and system based on dynamic demand prediction, and relates to the related technical field of power grid load distribution, and the method comprises the steps: constructing a renewable energy access network for a terminal user, and carrying out the power generation prediction; predicting an electrical load trend, and constructing a terminal load curve; generating a comprehensive stable compensation load and a comprehensive load demand sudden increase interval; executing power minimization regulation and control, and generating a first load distribution strategy; executing load addition and distribution fitting, and constructing a multi-stage load addition and distribution scheme; and carrying out load distribution management and control by combining the first load distribution strategy and the multi-stage load increase and distribution scheme. The technical problems that in the prior art, the dynamic electricity demand of a user is difficult to respond accurately, load distribution is unbalanced, and the power regulation and control efficiency of a power generation source is low are solved. The technical effects of improving the renewable energy consumption capability and the power resource configuration accuracy and efficiency, reducing the power loss of the power generation source and enhancing the stability and reliability of the power grid to deal with the load fluctuation are achieved.

The application claims a kind of unmanned aerial vehicle (UAV) communication system transmission power minimization method based on rate splitting multiple access (RSMA) under jitter condition, belongs to the field of RSMA network power control, under the condition of minimum rate constraint of each user, user's common rate constraint, UAV hovering area constraint, the transmission power of UAV communication system based on RSMA under jitter condition is minimized, its innovation lies in, RSMA protocol is combined with considering the UAV communication system under jitter condition.This application uses Successive Convex Approximation (SCA), semi-positive definite relaxation technique and S-procedure and one-dimensional search method to obtain suboptimal solution, the method provided by the application reduces the transmission power compared with other UAV communication systems under jitter condition without using RSMA protocol, has better practicability and feasibility.

The invention discloses a hybrid frequency conversion phase shift modulation method and device for integrated power decoupling of MBSRC, and the method comprises the steps: constructing an equivalent two-port converter, and determining the resonant cavity characteristic impedance of a resonant cavity between two ports; determining a current transient value, transmission power and circulation power of the resonant cavity between the two ports according to the resonant cavity characteristic impedance so as to determine a total resonant cavity current transient value, total transmission power and total circulation power at the port switching moment; determining a soft switching condition according to the total resonant cavity current transient value at the port switching moment; determining the optimal frequency ratio of the MBSRC by taking the minimum port total circulation power as a target; constructing a multi-dimensional nonlinear power equation set based on the total transmission power of each port; and fixing the optimal frequency ratio, and iteratively solving the multi-dimensional nonlinear power equation set to obtain the phase shift ratio of each port so as to realize the target power distribution of each port. According to the invention, wide-range ZVS (Zero Voltage Suppressor) and circulating current power minimization are realized, and meanwhile, power decoupling in MBSRC is ensured.

The invention belongs to the technical field of electric power communication optimization, and discloses a safety-based electric power communication system high-energy-efficiency optimization method and system, and the method comprises the steps: constructing an electric power wireless communication system model, and converting a safety energy efficiency maximization problem into a base station power minimization problem; based on the converted problem and an IRS phase shift matrix in a fixed system, the optimization problem of a beam forming vector and an artificial noise vector is converted into a convex optimization problem, non-convex constraint is converted into convex constraint through first-order Taylor approximation, and second-order cone programming SOCP is adopted for solving; a beam forming vector and an artificial noise vector are fixed, the optimization problem of an IRS phase shift matrix is converted into a feasibility problem, non-convex constraints are processed through first-order Taylor approximation and a penalty function, a convex optimization tool is adopted for solving until the safety energy efficiency performance reaches convergence, and balance optimization of the secrecy rate and energy consumption is achieved. The security problem is considered, the mutual restriction problem of the transmission rate and the power consumption is also considered, and the secrecy energy efficiency is improved.

The embodiment of the invention provides a data transmission method and device of a distributed system, equipment and a storage medium, and relates to the technical field of communication. The method comprises the steps of obtaining server calculation power related to energy consumption of each terminal device, then obtaining target power according to the server calculation power, signal transmission power and beam forming power of a receiving end, accumulating all the target power to obtain total power, minimizing the total power to generate an optimization objective function, and on the premise that a constraint condition set is met, optimizing the target function. And solving the optimized target function to obtain a target transmission parameter of each terminal device in the corresponding channel. According to the method, the users are layered according to data requirements, and different resources are allocated to the users with different delay requirements, so that the mobile devices of the users can avoid unnecessary calculation burden while meeting own requirements. The overall optimization modeling is performed by combining the energy consumption of all mobile devices in the transmission process, and the total energy consumption of the network is reduced on the basis of ensuring the transmission fluency.