636 results about "Power parameter" patented technology

The invention relates to the technical field of online calibration, in particular to a multi-parameter fusion intelligent electric energy meter online calibration method and system, and the method comprises the following steps: collecting voltage waveforms, current harmonics and active power data, dividing windows, calculating a covariance matrix, and generating a feature set; a power factor curvature extreme value and a temperature inflection point offset are analyzed to generate an interference identifier, current density distribution and a voltage distortion spectrum are jointly analyzed to extract a harmonic energy ratio to generate a feature vector, and phase compensation is performed on a pulse sequence to generate a calibration instruction set. According to the method, the covariance matrix is constructed by synchronously collecting voltage and current power parameters, the abnormal mark section is generated by combining the temperature change and the covariance difference value, the environment disturbance and the real deviation are effectively distinguished, and the temperature hysteresis effect is identified through the power factor curvature extreme value and the temperature inflection point offset. And combining current density and voltage distortion spectrum analysis to extract a fundamental wave and harmonic wave energy ratio, establishing a composite calibration reference, and dynamically adjusting a pulse duty ratio to realize harmonic wave energy compensation.

The embodiment of the invention provides an intelligent dynamic load regulation and control method and system for an intelligent power grid. Wherein power parameters of key nodes are collected in real time through time sequence analysis and a deep learning algorithm, future power demand fluctuation is predicted, and a power grid topological structure model is constructed to identify the key nodes and a potential influence range; a genetic algorithm, particle swarm optimization and other multi-objective optimization algorithms are adopted to generate specific operation instructions for different power utilization areas or devices, and optimization objectives comprise minimization of energy cost, maximization of renewable energy utilization rate and guarantee of power supply stability; converting the strategies into guidance suggestions, pushing the guidance suggestions to a terminal user, collecting feedback information, generating a preference model by applying a reinforcement learning algorithm, and selecting an optimal strategy for implementation based on user acceptance and feasibility evaluation; risks and abnormal conditions are detected through the Bayesian network, and the strategy is adjusted in time. According to the technical scheme provided by the embodiment of the invention, the efficient distribution of power resources and the energy utilization efficiency in the smart power grid are improved.

The invention belongs to the technical field of monitoring and fault early warning of an intelligent packaging production line, discloses an intelligent packaging production line control system and method, and aims to realize comprehensive monitoring and fault early warning of the intelligent packaging production line. Comprising the steps of collecting electric power parameter data of an electrical component; the power parameter data comprises current, voltage, energy utilization ratio data and a vibration signal of the electrical component; preprocessing the power parameter data to form an electrical characteristic data set; training according to the electrical characteristic data set to obtain a fault state prediction model, and predicting based on the fault state prediction model to obtain a fault probability value of the electrical component; judging whether the intelligent packaging production line has a fault according to the fault probability value of the electrical component; when it is detected that the intelligent packaging production line has a fault, the electrical component having the fault is analyzed, and targeted regulation and control measures are taken, so that efficient fault identification and regulation and control in various special environments are ensured.

The invention provides a hybrid vehicle energy management method, device and equipment and a medium, and the method comprises the steps: obtaining the real-time traffic information and configuration information of a vehicle, and calculating the demand power and demand torque of the vehicle according to the real-time traffic information and configuration information; calculating energy consumption of the battery according to the battery remaining capacity, the capacity information and the temperature information to obtain energy consumption information of the battery; power parameters of the vehicle are obtained, and the actual power and the actual torque of the vehicle are calculated according to the energy consumption information and the power parameters; actual energy consumption of the vehicle is calculated according to the actual power and the actual torque, and an energy distribution strategy is made according to the actual energy consumption; and constructing a dynamic programming algorithm to perform power distribution on an engine and a motor of the vehicle according to the energy distribution strategy. According to the technical scheme of the embodiment, through real-time interaction of the Internet of Vehicles, the vehicle can complete efficient energy distribution according to the processing information, and energy consumption and environmental pollution of the hybrid power vehicle are reduced.

The invention provides a self-adaptive low-voltage ride-through control method for a network-building type converter considering virtual impedance, and the method comprises the steps: defining a reactive power adjustment coefficient and an active power adjustment coefficient, obtaining a power parameter, building an active-reactive power self-adaptive low-voltage ride-through control strategy formula when the influence of the virtual impedance is not considered, and carrying out the self-adaptive low-voltage ride-through control of the network-building type converter. The relation between the virtual impedance and the output reactive power is analyzed through the reactive power of the network-forming converter control system after the virtual impedance link is switched in, so that the enlightenment that the virtual impedance needs to be introduced to carry out linear correction on the reactive power regulation coefficient is obtained; a corrected value function can be obtained after linear correction is carried out on reactive adjustment parameters through virtual impedance, the corrected value function is finally substituted into a strategy formula, an active-reactive self-adaptive low-voltage ride-through control strategy formula considering the influence of the virtual impedance is obtained, the transient power angle stability of a grid-forming type converter system can be enhanced, and the stability of the grid-forming type converter system is improved. And meanwhile, the problem of over-current of the converter under large disturbance is solved.

The invention provides a combined fleet fault early warning method and system based on intelligent monitoring, and relates to the technical field of data processing, and the method comprises the steps: collecting the power data of a main propulsion ship, and the course data, navigation data and connection device data of a fleet, obtaining a fleet data set, and analyzing the fleet data set to obtain a fault early warning result; propulsive power parameters, course change parameters, navigation synchronization parameters and connection stress parameters are obtained, the state relation between ships is determined, a fleet operation state evaluation matrix is obtained, and anomaly detection is carried out on the propulsive power parameters, the course change parameters, the navigation synchronization parameters and the connection stress parameters according to the evaluation matrix; determining whether abnormal parameters exceeding the preset parameter group exist or not, obtaining abnormal parameter data, analyzing the influence degree of the abnormal parameters on the fleet according to the abnormal parameter data, obtaining a fault influence range, setting an early warning level for the fault according to the fault influence range, and generating early warning information. According to the invention, fleet faults are identified through intelligent monitoring and early warning is carried out.

Provided is a downhole device, a well system, and a method. The downhole device, in one aspect, includes an electromagnetic assembly, as well as a magnetic target positioned proximate the electromagnetic assembly, wherein one of the magnetic target or the electromagnetic assembly is coupled with a movable feature of the downhole device, the movable feature configured to move to physically couple or physically decouple the electromagnetic assembly and the magnetic target. The downhole device, according to this aspect, further includes a sensor electrically coupled to the electromagnetic assembly, the sensor configured to sense for a change in a DC power parameter powering the electromagnetic assembly as the electromagnetic assembly and magnetic target physically couple to or physically decouple from one another, the sensed change representative of a change of impedance within a coil of the electromagnetic assembly and employable to estimate the status or health of the downhole device.

The invention relates to the technical field of downhole operation control, in particular to a downhole operation platform control system and a crane, and the system comprises a task identification module, a demand index module, a power sequencing module, a rhythm switching module and a command reconstruction module. According to the method, through accurate recognition of the structure state and parameter linkage, accurate judgment of the initial operation stage is achieved, false starting and false action of the platform are avoided, coupling analysis between operation data can dynamically set the scheduling priority, it is guaranteed that key tasks are executed in advance, coordination is improved, energy supply conditions are judged through power parameter fusion, and paths are distributed according to needs; the energy utilization efficiency is enhanced, stage rhythm conversion achieves stable switching based on action states and logic mapping, action disjunction is prevented, finally, control instructions are rearranged through feedback time delay and an execution sequence, an efficient and ordered response mechanism is formed, the overall operation efficiency, stability and the intelligent level are improved, and the risk of manual intervention and operation imbalance is reduced.

The invention discloses a non-contact electric power parameter measurement method, system and device, and a storage medium. The method comprises the steps of obtaining a first output voltage signal and a second output voltage signal generated by induction of a space electric field around a to-be-measured wire; establishing an equation set of a to-be-measured voltage phasor based on the first output voltage signal and the second output voltage signal, and solving the equation set of the to-be-measured voltage phasor to obtain a parameter of the to-be-measured voltage; acquiring a magnetic field measurement signal generated by a space magnetic field around the to-be-measured wire; and establishing an equation set of the current to be measured according to the magnetic field measurement signal, and solving the equation set of the current to be measured to obtain parameters of the current to be measured, thereby effectively solving the problem that the gain and the phase shift are unknown after the probe is connected.

The invention relates to the technical field of thermal management of power adapters, and discloses a multi-mode power management method and device of a gallium nitride adapter. The multi-mode power management method of the gallium nitride adapter comprises the following steps: dividing the interior of the adapter into a plurality of cooling priority regions according to the thermal sensitivity of elements, and integrating a three-dimensional layered micro-channel structure; monitoring the temperature of each area and the state of a cooling system in real time; constructing a self-adaptive flow distribution algorithm, and dynamically adjusting the flow distribution of the cooling liquid according to the real-time temperature state of each region; the maximum allowable power under the current cooling capacity is calculated, and power parameters are dynamically adjusted; dynamically switching the working mode of the adapter; through the synergistic effect of the regional differentiation micro-channel cooling structure and multi-mode power management, the technical effects that the temperature management effect is improved, the reliability is improved, the service life is prolonged, and the power output capacity is enhanced are achieved.

The invention belongs to the technical field of power system measurement, and relates to a three-phase power parameter wireless synchronous measurement and vector analysis method and system, and the method comprises the following steps: generating and broadcasting a synchronous pulse code containing triggering phase information; generating a predicted phase angle; obtaining a comprehensive phase deviation value; performing dynamic feature separation processing on the comprehensive phase deviation value to generate a slowly-varying propagation delay feature and a transient prediction error feature; injecting the prediction error characteristics into a local phase predictor for calibration; acquiring phase voltage / current data based on the compensated sampling time, and calculating a fundamental wave effective value and a phase angle relative to a local calibration time reference; and packaging the fundamental wave effective value, the phase angle and the local timestamp into a simplified data packet and transmitting the simplified data packet to an analysis terminal. According to the method, the problems that in a traditional mode, satellite time service rejects signals in a substation indoor or underground scene, and synchronization interruption is easily caused by electromagnetic interference are solved.

The invention discloses a multi-dimensional integrated power system fault detection algorithm, and relates to the technical field of power system fault detection, and the algorithm comprises the steps: S1, data collection and preprocessing, S2, correlation analysis, S3, mean square error calculation, S4, extended Kalman filter application, S5, principal component analysis dimension reduction, and S6, fault detection and visualization. According to the fault detection algorithm based on the multi-dimensional integrated power system, multiple correlation analysis methods are integrated, the operation state of the power system is analyzed from multiple angles, the fault detection accuracy can be improved, different correlation analysis methods can capture different types of relations among power parameters, and the fault detection accuracy is improved through the comprehensive analysis result. By means of the method, faults in the system can be recognized more comprehensively and more accurately, the situation of misjudgment or missed judgment caused by limitation of a single analysis method is avoided, and therefore stable operation of the power system is guaranteed.

The invention discloses an energy storage monitoring method and system, electronic equipment and a storage medium, and relates to the technical field of energy storage. The method comprises the following steps: acquiring voltage data and temperature data of a plurality of different types of battery units; generating a voltage response curve of the corresponding battery unit based on each voltage data, and generating a temperature response curve of the corresponding battery unit based on each temperature data; dividing each battery unit into a plurality of battery packs with different charging and discharging characteristics according to each voltage response curve and each temperature response curve, and calculating the residual electric quantity value of each battery unit in each battery pack; in each battery pack, determining an electric quantity difference value between the battery units in combination with the residual electric quantity value of each battery unit, and taking each battery unit of which the electric quantity difference value is greater than an electric quantity threshold value as a target battery pair; and performing concurrent equalization adjustment on the power parameters of each target battery pair until the electric quantity difference value of each target battery pair is smaller than the electric quantity threshold value. By implementing the technical scheme provided by the invention, the overall energy storage efficiency can be improved.

The invention discloses a 10kV distribution transformer on-load voltage regulation control method and system, and relates to the technical field of transformer on-load voltage regulation, and the method comprises the steps: collecting the three-phase voltage and current of a low-voltage side of a distribution transformer and a tap switch gear signal, and loading a preset voltage regulation control mode and an oscillation region parameter; based on the acquired three-phase voltage and current of the low-voltage side of the distribution transformer and the tap switch gear signal, calculating a feeder comprehensive impedance parameter and a load reactive power parameter, and outputting a transformer operation state index; according to the transformer operation state index, the voltage regulation control mode and the oscillation area rule, current voltage out-of-limit and reactive power deviation are judged, and a voltage regulation strategy triggering instruction is generated according to the judgment result; and calculating upper and lower limit values of feed line correction voltage based on the voltage regulation strategy trigger instruction, and controlling the tap switch to execute voltage regulation action. According to the method, a combined calculation scheme of feeder comprehensive impedance and load reactive power is fused, and dynamic optimization of the triggering condition of the voltage regulation strategy is achieved.

The invention relates to the technical field of direct current transmission detection, in particular to a device and method for testing power pipeline connection, and the device comprises a power parameter collection module which is used for collecting current signals and voltage signals in a power pipeline, measuring temperature values at a plurality of positions, obtaining insulation resistance at each node, and measuring grounding resistance of a plurality of grounding points; and summarizing the measurement data to generate an electric power parameter set. According to the invention, through integration and analysis of measurement data of current, voltage, temperature, insulation resistance and grounding resistance, comprehensive monitoring and evaluation of the state of the power pipeline are realized. After the data are integrated, by calculating the mean value, the variance and the peak value of the data and analyzing the spatial distribution of the temperature and the frequency characteristics of the grounding resistance, the understanding of the behavior of the power system is enhanced. According to the data analysis mode, the prediction capability of potential risks and the sensitivity of fault detection are improved, and serious equipment faults and service interruption are effectively avoided.

The invention relates to the field of automation, and particularly provides a crane boom anti-collision method and system based on dynamic detection, and the method comprises the following steps: obtaining power parameters, motion data and structural data of a main engine boom and an auxiliary engine boom; determining the current position information of a main engine boom, and determining the current position information of an auxiliary engine boom; acquiring predicted deceleration position information and predicted stop position information of the main engine arm support based on the motion data, the power parameters and the structural data of the main engine arm support; based on the current position information of the main machine arm frame, the current position information of the auxiliary machine arm frame and the predicted deceleration position information and the predicted stop position information of the main machine arm frame, judging a collision risk assessment result of the main machine arm frame and the auxiliary machine arm frame; and when the collision risk assessment result is early warning, the main engine boom is decelerated, or when the collision risk assessment result is dangerous, the main engine boom is stopped. According to the anti-collision method, collision of the crane boom can be avoided.

The invention relates to the technical field of microchip power compensation, and discloses an efficient power compensation method and system based on a microchip. According to the method, power parameter data of the microchip are collected through monitoring equipment, and the data comprehensively reflect the real-time power condition of the microchip. And then the collected power parameter data and a preset power threshold are compared and analyzed, and a corresponding power compensation control signal is generated according to an analysis result so as to realize accurate power regulation and control. And then the fluctuation characteristic of the power compensation control signal is evaluated to obtain a power compensation lag index and a power compensation efficiency index, and the acquisition frequency of the power parameter data and the execution mode of the power compensation control process are respectively adjusted based on the two indexes, so that the compensation efficiency is improved and the system flexibility is enhanced. And finally, the overall stability of the power compensation control process is monitored, and when the stability does not meet a preset condition, a power compensation invalid mark is generated to guarantee stable operation of the system.

The invention relates to the technical field of construction resource scheduling, in particular to a water conservancy construction equipment scheduling method and system, and the method comprises the following steps: obtaining on-site point cloud and soil data to construct an environmental resistance field; calculating a dynamic work efficiency matrix by combining the equipment power parameters and the resistance field; generating an initial time sequence chain based on the work efficiency matrix, and calculating an overlapping volume of a three-dimensional space envelope body of the equipment; if there is overlap, the job time is adjusted according to the priority to generate a conflict-free scheduling instruction set. According to the method, the rated work efficiency parameters of different machine types in a specific operation area are corrected in real time by constructing the equipment passing resistance model fusing the terrain gradient and the soil moisture content, the problem that static scheduling cannot adapt to environmental changes is solved, and meanwhile space-time conflict detection logic based on the three-dimensional operation envelope surface is introduced; and when it is recognized that the multi-machine moving tracks are overlapped, avoiding or peak shifting instructions with priorities are automatically generated, and conflict-free collaborative operation of the equipment cluster in a complex water conservancy scene is achieved.

The invention discloses a dynamic power distribution method and device for a direct-current micro-grid hybrid energy storage system, and relates to the technical field of electric energy storage management, and the method comprises the steps: collecting the power parameters, load demand fluctuation data and renewable energy power generation output data of each energy storage unit in the hybrid energy storage system in real time, calculating a multi-dimensional power entropy index, and calculating the power entropy index of the hybrid energy storage system; based on the indexes, power distribution weight coefficients are dynamically generated, power dynamic distribution is carried out, a charging and discharging strategy is generated, charging and discharging control of the hybrid energy storage system is executed, and power distribution is dynamically adjusted in combination with a real-time feedback mechanism. The technical problems that an existing energy storage system power distribution method lacks flexibility and cannot effectively cope with load fluctuation and unstable renewable energy sources, so that the system operation efficiency and stability are poor are solved, the charging and discharging strategy of the energy storage unit is dynamically adjusted through the multi-dimensional power entropy index and the real-time feedback mechanism, and the energy storage efficiency is improved. The technical effect of efficient and stable operation of the energy storage system is achieved.

The invention relates to the technical field of power optimization, and discloses a component-level power optimization method and device of a photovoltaic system. The method comprises the following steps: carrying out classification processing on working state evaluation results, and carrying out maximum power point tracking control on different types of components through a conductance increment method and a three-point comparison method to obtain optimal output power parameters of each component; carrier communication transmission is carried out on the optimal output power parameters of all the assemblies, and working state information of all the assemblies is transmitted to an integrated controller in a sequential relay mode to obtain group cascade optimization control parameters; and performing performance calculation on the group cascade stage optimization control parameters and the component working parameters, and evaluating a system operation state through tracking efficiency calculation and conversion efficiency calculation to obtain a system control parameter optimization result. According to the invention, the efficiency and accuracy of module-level power optimization of the photovoltaic system are improved.

A communication-enabled power management system is disclosed. The system includes a self-contained receptacle outlet comprising a housing, a power receptacle, a power sensor configured to monitor a plurality of power parameters, a motion detection module, a transceiver, and a processor with a unique identifier. The processor connects the receptacle to a remote controller and allows the user to toggle between power states. The system further includes a predictive analytics module to optimize power usage based on occupancy patterns, and an independent power backup management module for maintaining power during failures. The system also communicates with secondary devices, such as vents and switches, to manage energy distribution and respond to emergency events.

The invention relates to an electric quantity prediction method and device and computer equipment, and relates to the field of energy. The method comprises the following steps: acquiring historical demand parameters and historical supply parameters of a target time period; on the basis of the historical demand parameters, predicting the remaining power demand of the target time period to obtain a first prediction result; on the basis of the first prediction result and the historical supply parameters, predicting the electric power spot price in the target time period to obtain a second prediction result; according to the first prediction result, the second prediction result, the global electric power parameters and local electric power parameters of the target electric power demand side, determining the demand electric quantity of the target electric power demand side in the current time period; the global power parameters comprise a global risk aversion level of a power supply side, a global risk aversion level of a power demand side and a global power utilization price of a power utilization side, and the local power parameters comprise a local risk aversion level, a local power utilization price and a demand power prediction proportion. The method can improve the prediction accuracy of the demand electric quantity of the power demand side.

Methods, systems, and devices for wireless communications at a user equipment (UE) are described. The UE may receive a first control message indicating a plurality of code points and a plurality of transmission configuration indication states. The UE may receive a second control message including a grant scheduling transmission of an uplink communication to a first transmission and reception point and an indication of a code point from the plurality of code points, the code point indicating a first transmission configuration indication state of the plurality of transmission configuration indication states for communication with the first transmission and reception point. The UE may transmit the uplink communication to the first transmission and reception point using the first transmission configuration indication state in accordance with a first set of power control parameters and the first set of power control parameters may be linked to the first transmission and reception point.

The invention relates to the technical field of electric power simulation, and discloses an electric power system data parallel simulation processing method based on distributed modeling. The method comprises the following steps: acquiring voltage, frequency and power parameters of a new energy inverter and an energy storage converter, and generating a state switching feature vector through a fuzzy C-means algorithm; determining and calculating a load abrupt change subsystem according to the load index overrun, and calculating the electrical coupling strength with an adjacent subsystem; allocating reserved computing resources for the mutation subsystem through a particle swarm optimization algorithm to form a dynamic resource allocation table; and adjusting the data synchronization period of the mutation subsystem to an extended time window, and continuing parallel simulation after the adjacent subsystems wait for boundary data. According to the method, the problems that in an existing power system data parallel simulation processing method based on distributed modeling, the calculation load abrupt change and the data synchronization failure caused by strong nonlinear component state switching cannot be processed are solved.

The invention discloses an intelligent defect detection method based on a power system, and belongs to the technical field of power system detection and fault diagnosis, and the method comprises the steps: obtaining voltage waveform data and current waveform data collected by a power parameter sensor, and temperature data, humidity data and vibration data collected by an environment sensor, and generating a multi-modal data set; performing time domain feature extraction and frequency domain feature extraction on the multi-modal data set to generate a power equipment feature vector and an environment interference feature vector; performing matching analysis on the electrical equipment feature vector according to a preset defect feature baseline library to generate a preliminary defect judgment result; and compensating and correcting the initial defect judgment result based on the environment interference feature vector to generate a final defect detection report. According to the method, a collaborative technology of multi-modal data fusion acquisition, dynamic threshold matching and environment compensation correction is adopted, and accurate defect identification and adaptive optimization detection under complex working conditions can be realized.

The present specification provides a wireless power transmission device comprising: a power conversion unit configured so as to transmit, in a power transfer phase, wireless power generated on the basis of magnetic coupling to a wireless power receiving device; and a communication / control unit configured so as to perform an initial calibration for a power parameter prior to the power transfer phase, receive, from the wireless power receiving device, a first received power packet indicating the power received by the wireless power receiving device during the power transfer phase, and detect a foreign object by using the received power and a first power loss determined on the basis of the initial calibration.

The invention discloses an electric energy meter intelligent load control method based on electricity utilization behavior analysis, and relates to the technical field of electric power metering, and the method comprises the steps: collecting current waveform data and power parameters through an electric energy meter metering chip; according to the current waveform data, zero crossing point moment information of the alternating current is determined; generating a load control instruction according to a comparison result of the power parameter and a preset power threshold value; and determining a switch control moment according to the zero-crossing moment information and the action delay parameter of the built-in switch, and controlling the built-in switch to execute on-off operation at the zero-crossing moment according to the load control instruction and the switch control moment. By capturing the current zero crossing point moment, arc-free on-off control of the built-in switch is achieved, energy loss and electromagnetic interference in the switch action process are reduced, and the service life of the switch is prolonged; and meanwhile, a periodic detection mechanism is adopted, power supply is automatically recovered on the premise of ensuring power utilization safety, and the power supply reliability and the user experience are improved.

The invention relates to the technical field of power equipment monitoring, in particular to a distribution network equipment anomaly monitoring method and system, electronic equipment and a storage medium, which can improve the accuracy and timeliness of power equipment anomaly detection and provide powerful guarantee for stable operation of a power system. The method comprises the following steps: collecting operation data information of to-be-detected power equipment in a distribution network; performing data format conversion on the operation data information to obtain an equipment operation historical time sequence matrix; the electric power parameters of the same type in the equipment operation historical time sequence matrix are arranged according to a time sequence, and the electric power parameters with the same timestamp are located in the same row; performing abnormal feature extraction on the equipment operation historical time sequence matrix to obtain an abnormal representation vector of the power equipment; using a pre-constructed equipment operation data reconstruction model to perform data reconstruction on the power equipment anomaly representation vector to obtain an equipment operation reconstruction time sequence matrix; and performing deviation calculation on the equipment operation reconstruction time sequence matrix and the equipment operation historical time sequence matrix.

The invention discloses a short-circuit current calculation method and system for a distributed photovoltaic power distribution network, and relates to the technical field of power distribution networks, and the method comprises the steps: obtaining the power parameters of each port of a distributed power supply in the distributed photovoltaic power distribution network, and constructing a distributed power supply fault calculation model according to the power parameters of each port; according to the electric power parameters of the distributed power supply in the initial state and a distributed power supply fault calculation model, the output current of the distributed power supply is calculated; calculating column elements of IBDG in an equivalent Norton impedance matrix of the nodes under a sequence component calculation model; according to the output current and the column element of the distributed power supply, calculating the voltage of the photovoltaic inverter in the fault distribution network; and under the sequence component calculation model, calculating to obtain the fault current of the fault port. According to the method, the fault nodes are equivalently removed from the network through a negative branch parallel connection method, only very few element parameters need to be corrected for different fault types, and the solving method is simpler and more convenient.

The invention relates to the technical field of multi-energy complementation and optimal configuration, and discloses a multi-energy coordinated optimization method and device based on port electricity load characteristics. The method specifically comprises the following steps: acquiring a load high-resolution power parameter and a renewable resource supply power parameter; matching the load high-resolution electric power parameter with the renewable resource supply electric power parameter, determining a matching matrix of the electric power required by the load and the renewable resource supply electric power, and determining a power supply resource allocation strategy of the multi-energy energy storage system according to the matching matrix; and based on the objective function of the power supply resource allocation strategy, performing coordinated optimization on the power supply resource allocation strategy, and determining a dynamic optimization strategy. The power supply resource allocation strategy is coordinated and optimized through the objective function considered in the invention, so that the power supply cost and the waste of power supply resources can be reduced, and the stability and reliability of the port energy system are enhanced.