23 results about "Energy index" patented technology

The invention relates to the technical field of power grids, and discloses a port green power virtual energy storage aggregation regulation and control method, which comprises the following steps: acquiring an aggregation scene and resource data; generating a power hard constraint mapping and pile division execution reference by calculating a multi-band energy index and identifying a system power transfer characteristic; a local rapid control configuration set is generated by solving a virtual impedance feasible region and combining power hard constraint allocation compensation budget; and fusing a sub-pile execution reference (slow channel) generated based on the power hard constraint with a fast channel execution track obtained after local online execution compensation, performing priority arbitration under the constraint of the power hard constraint, and outputting a final execution power track. According to the invention, a double-layer regulation and control framework of slow channel planning and fast channel compensation is constructed, and through a core link of power hard constraint mapping, coordinated operation of fast and slow channels and safety and stability of the whole system are ensured, and fast and reliable dynamic support capability can be provided for a power grid.

The invention provides a self-adaptive regulation and control method for a hydrogen production system based on real-time parameter feedback, and relates to the technical field of process control, the method comprises the following steps: collecting an input instruction signal and a controlled state variable signal of the hydrogen production system, and comparing a fluctuation energy index with a preset identification dead zone threshold; if the fluctuation energy index is lower than the identification dead zone threshold value, the current controller parameter is kept unchanged; if the fluctuation energy index is higher than the identification dead zone threshold value, activating an online parameter identification step; calculating a dynamic confidence interval of process model parameters; judging whether the process model parameters estimated in real time fall into the dynamic confidence interval or not; if the process model parameters fall into the dynamic confidence interval, converting the process model parameters estimated in real time into control parameters of a PID (Proportion Integration Differentiation) controller, and updating the control parameters into a control loop of the hydrogen production system; and if the process model parameter exceeds the dynamic confidence interval, resetting an internal state vector of the recursive algorithm in the online parameter identification step by using a boundary value.

The invention discloses a hybrid expert model structured pruning and acceleration method and system based on micro expert sorting, belongs to the technical field of large language models, and solves the problems that an existing MoE pruning method cannot consider the requirements of fine-grained pruning, reasoning acceleration and structural analysis generalization at the same time, coarse-grained expert-level pruning damages the performance of a model, and the reliability of the model is poor. And fine-grained compression lacks speed increase and lacks a unified micro-analysis method. The method comprises the following steps: splitting each expert network in a hybrid expert model into a plurality of micro experts, and modeling the plurality of micro experts, so that the micro experts in different expert networks have comparability; sorting all the micro experts according to the energy indexes of the micro experts by adopting a micro expert sorting algorithm; and processing the sorted micro-experts by adopting a pruning algorithm, selecting a core micro-expert for reservation, and directly deleting the rest of the micro-experts. The method is suitable for application scenes such as edge calculation and multi-task learning.

The invention relates to the technical field of solid waste resourceful treatment and industrial automation control, and discloses a cracking production line intelligent control method and device.According to the cracking production line intelligent control method, a virtual accumulated energy index is calculated by collecting operation parameters of a feeding and discharging unit, and accordingly whether a conveying pipe section has a soft blockage trend or not is judged; after it is confirmed that the blocking trend exists, the material level of the colloidal particle buffering bin is detected to verify the material sealing safety; and when the safety condition is met, gas machine cooperative control is triggered, the feeding star-shaped discharger is driven to execute S-shaped pulse airlock action, and meanwhile, the raw material feeding auger is controlled to execute trapezoidal wave frequency sweeping conveying action until the virtual accumulated energy index is recovered. The blockage risk is pre-judged in advance through energy monitoring, efficient dredging is achieved through frequency conversion vibration and pulse control on the premise that reaction airtight safety is guaranteed, non-planned shutdown is effectively avoided, and the operation stability of a production line is improved.

The application discloses a kind of multi-source ocean energy site selection method and system, it is related to electric power energy field, it solves the problem that existing multi-source ocean energy site selection method exists poor site selection effect, including steps S1: real-time tidal energy index monitoring is carried out to the region to be addressed, the monitoring result is combined with tidal energy index historical data, and the tidal energy estimated power generation deviation corresponding to the region to be addressed is obtained by comprehensive analysis, tidal energy resource monitoring data are obtained, step S2: tidal resource development area screening is carried out to the region to be addressed according to tidal energy resource monitoring data, and wave energy index analysis is carried out to non-tidal resource development area, and regional energy analysis data are obtained according to the analysis result, step S3: according to regional energy analysis data, the site selection of each region to be addressed is carried out to marine energy resource development, the comprehensiveness and accuracy of the application can be improved multi-source ocean energy site selection method.

The present application relates to the field of photovoltaic power generation, and more particularly to a double-sided photovoltaic tracking method and system based on a genetic algorithm. The method comprises: constructing a basic data structure based on multi-source data such as field station geographic time parameters and actuator constraint parameters; performing solar position and attitude geometric calculation to obtain solar geometric structure and candidate attitude geometric structure; inputting the solar geometric structure and the candidate attitude geometric structure into double-sided irradiation calculation to obtain front effective irradiation, back effective irradiation and shading factor; performing temperature calculation and electrical output calculation to obtain a candidate attitude power sequence and an energy index; performing fitness construction and feasible region processing to obtain a fitness evaluator and a feasible region processor; performing genetic algorithm calculation to output optimal strategy parameters and an angle curve, and generating a target angle instruction. The present application can realize collaborative evaluation and constraint optimization output of geometric, irradiation and electrical links, effectively improving the availability and stability of control instruction generation.

A comprehensive energy system hydrogen storage optimization configuration method based on health status perception and full life cycle optimization includes: establishing a fuel cell health status perception model using an exponential decay model; formulating multi-module collaborative operation strategies to address the dynamic differences in module health; constructing an energy conversion model for hydrogen storage units using a unified energy index; establishing a full life cycle optimization configuration model based on the adaptability of long-term cost and short-term operation; constructing a full life cycle health perception multi-energy optimization model by integrating the coupling requirements of electricity, heat, and gas; and solving the full life cycle health perception multi-energy optimization model by inputting the time-series data of the park's source and load and equipment parameters to obtain the number of modules, capacity, and load allocation strategy. This method achieves coordinated optimization of the economy, reliability, and low-carbon characteristics of hydrogen storage configuration in multi-energy coupling systems by constructing a dynamic health status model of equipment, designing multi-module collaborative operation strategies, and integrating full life cycle cost accounting.

The invention discloses an energy room environment intelligent control method and system based on renewable energy fluctuation, and relates to the technical field of building energy intelligent management, and the method comprises the steps: collecting the real-time operation data of an energy room, initializing the environment memory and the energy memory, and storing the environment memory and the energy memory; combining external weather prediction and a thermodynamic model to generate an energy demand prediction quantity under a comfortable condition; comparing the energy demand predicted quantity with the real-time power, and calculating to obtain a cheap energy index representing the renewable energy remaining degree; a virtual price curve is constructed by combining environment memory and energy memory, and channel weight distribution of an execution layer is generated; under the constraint of the virtual price curve and the channel weight, a joint optimization problem is established in combination with a thermodynamic model, a control instruction is solved and obtained, execution feedback is written back to environment memory and energy memory, and a self-adaptive closed loop is formed; the indoor comfort and the energy economy can be kept under the fluctuation condition, and the utilization rate of renewable energy sources and the stability of system operation are improved.

The invention discloses a multi-energy coordinated energy management and control evaluation method based on an electricity-carbon coupling support power grid, and belongs to the technical field of power system operation analysis and energy management. By establishing a connection relation between a power grid structure and multiple types of energy units, power generation power output data, type information and a power flow distribution result are collected; and calculating the carbon factor injection amount of a power generation side node, and sharing the carbon factor injection amount to a load node to form an inter-node power-carbon transmission relationship. Based on the carbon factors received by the load nodes, identifying the power generation power supply type composition, counting the energy supply contribution proportion, and constructing a multi-energy energy supply structure; and further constructing a node-level energy index and an electric carbon index, quantifying an energy receiving structure, a cooperative adjustment capability and a carbon factor receiving intensity, and evaluating the cooperative energy and management and control response of the multi-energy energy supply structure under different working conditions.

The invention relates to a transient synchronization stability evaluation method and device of a phase-locked synchronous converter system under an energy perspective, belongs to the field of new energy grid connection, and solves the problem of transient synchronization stability evaluation of a phase-locked synchronous converter at the present stage. The method comprises the following steps: establishing a port energy function of each element in the phase-locked synchronous converter system; according to the law of conservation of energy, establishing a phase-locked synchronous converter system branch energy function considering the transient synchronization influence of the phase-locked loop; branch energy and port energy indexes based on information entropy are constructed, and stability margins of key branches and phase-locked synchronous converter elements in the network are quantitatively estimated based on local network measurement information. According to the method, the stability margin of the key branch and the key phase-locking synchronous converter of the system can be accurately and quantitatively identified, and a new visual angle and a new tool are provided for transient synchronous stability evaluation of a high-permeability renewable resource system.

The present disclosure relates to the technical field of mine coal and rock dynamic disaster prevention and control, and particularly relates to a coal impact tendency evaluation method based on acoustic emission energy. The method comprises: under the condition that a first coal sample is subjected to a preset force, obtaining an elastic energy index of the first coal sample based on acoustic emission characteristics and stress-strain characteristics; according to the stress-strain characteristics, obtaining an impact energy index of the first coal sample; according to a stress-time curve of the coal sample, obtaining uniaxial compressive strength and a failure duration of the first coal sample; and using an impact tendency evaluation method, evaluating the impact tendency of the first coal sample according to the elastic energy index, the impact energy index, the uniaxial compressive strength and the failure duration, and obtaining the impact tendency of the first coal sample. The present disclosure can improve the accuracy and convenience of coal sample impact tendency evaluation.

The application discloses a kind of operation evaluation method, device and management and control system of integrated energy system, method includes: obtaining the operation data of each subsystem in integrated energy system;Based on the integrated energy index library constructed in advance, the corresponding evaluation characteristics are filtered from the operation data of each subsystem;Using principal component analysis, the evaluation characteristics are analyzed, and the core characteristics are given;According to the similarity of each evaluation characteristic and core characteristic, determine the target evaluation characteristic and give the evaluation weight corresponding to the target evaluation characteristic;Based on the target evaluation characteristic of each subsystem in integrated energy system, the evaluation weight corresponding to the target evaluation characteristic is fused, and the operation evaluation data of integrated energy system is given.Through the operation data of integrated energy system, the data is extracted using principal component analysis and the target evaluation characteristic with high correlation is selected, and the evaluation weight is set by combining information entropy, to obtain operation evaluation data, improve the accuracy of integrated energy system evaluation.

A reward generating method for reducing peak load of power consumption and a computing device for performing the same are provided. The reward generating method for reducing the peak load of the power consumption includes calculating an energy index according to a predetermined time interval using power consumption data of a specific building, to which an energy storage system (ESS) is applied, during a predetermined period, determining a reward index according to an action of the ESS using a reward function generated based on the energy index, and training a training model to which the reward function is applied through a reward generated based on the reward index.

The invention relates to the technical field of new energy gear quality monitoring, and provides a new energy gear tooth surface quality detection processing method and system. The method comprises the steps of performing a gear pair meshing detection test on a to-be-detected new energy gear based on detection time and detection working conditions, acquiring a vibration acceleration signal and a rotating speed signal in a gear meshing process, and performing segmentation processing respectively to form an energy evolution curve and a segmentation feature sequence; further extracting multi-index characteristics, wherein the multi-index characteristics comprise a time domain index, an energy index and meshing order amplitudes at different rotating speeds; determining a weighting coefficient of each index feature, and constructing a comprehensive diagnosis index of the new energy gear to be detected according to the extracted multi-index features; and determining the quality condition of the new energy gear to be tested according to the constructed comprehensive diagnosis index. According to the invention, the fault identification sensitivity of the new energy gear under the variable speed condition is improved.

The invention discloses an energy transformation and digital economy collaborative analysis method and system based on artificial intelligence, and relates to the technical field of computer models. The energy transformation and digital economy collaborative analysis method based on artificial intelligence comprises the following steps of database construction, data query and data extraction and comprehensive evaluation. According to the method, the energy index database is constructed, then whether query optimization is performed or not is judged based on query monitoring parameters after the data query request is received, finally, feature extraction is performed on the queried energy indexes, and whether a feature extraction life cycle management mechanism is triggered or not is judged based on the extracted energy index features. After a feature extraction life cycle management mechanism is triggered, the extracted energy index features are subjected to quantitative evaluation to construct an energy transformation maturity evaluation model, so that the accuracy of energy transformation quantitative evaluation is improved; the problem that in the prior art, due to the fact that data version updating and mapping updating are not matched, energy transformation quantitative evaluation accuracy is low is solved.

The invention relates to the technical field of mine coal rock dynamic disaster prevention and control, in particular to a coal impact tendency evaluation method based on acoustic emission energy. The method comprises the following steps: under the condition that a first coal sample is loaded with a preset acting force, acquiring an elastic energy index of the first coal sample based on acoustic emission characteristics and stress-strain characteristics; acquiring an impact energy index of the first coal sample according to the stress-strain characteristics; according to a relation curve of stress and time of the coal sample, acquiring uniaxial compressive strength and damage duration of the first coal sample; and performing impact tendency evaluation on the first coal sample according to the elastic energy index, the impact energy index, the uniaxial compressive strength and the damage duration by adopting an impact tendency evaluation mode to obtain the impact tendency of the first coal sample. By adopting the method and the device, the accuracy and the convenience of coal sample impact tendency evaluation can be improved.

The invention discloses a lever principle blade type impact groove continuous multi-impact novel water turbine which is called a novel water turbine for short. By increasing the diameter and length of the runner, the lever principle effect of shifting in all directions is brought into full play, the current situations of long rotor diameter, short runner diameter, low rotating speed and low efficiency are changed, and the efficiency of the water turbine can be multiplied; the efficiency of the water turbine can be multiplied by adopting the multi-stage multi-blade type impact groove to receive continuous multi-impact work of high-speed water jet of a hydropower station; the flow is controlled by adopting the nozzle, so that the loss of water jet impact force caused by arranging a water guide mechanism control mechanism on the nozzle system can be avoided; the water is sprayed into the water inlet of the nozzle by the flow which is about 5% larger than that of the nozzle, so that the water pressure in the nozzle is stable, and the water flow impact acting effect can be improved. The energy index is put forward for the first time and used for unit design, and then the energy index serves as the standard for measuring the water turbine efficiency. And the water consumption rate is used as a standard for measuring the economic benefits of the water-turbine generator set. The comprehensive effect can improve the efficiency of the water turbine by more than two times.

The invention provides a carbon peak reaching prediction method and device based on electricity-certificate-carbon and model selection, and the method comprises the steps: inputting the magnitudes of a plurality of economic indexes, the magnitudes of a plurality of population indexes, and the magnitudes of a plurality of energy indexes into a first model, and obtaining first prediction values of a plurality of energy indexes; inputting the quantity values of the plurality of scientific and technical indexes and the quantity values of the plurality of energy indexes into a second model to obtain second predicted values of the plurality of energy indexes; inputting the quantity values of the plurality of electricity-evidence-carbon indexes into a third model to obtain a predicted value of a key index in the plurality of electricity-evidence-carbon indexes; inputting the quantity values of the plurality of carbon emission indexes, the quantity values of the plurality of energy indexes, the first predicted values of the plurality of energy indexes and the second predicted values of the plurality of energy indexes into a fourth model to obtain an initial carbon peak reaching prediction result; and inputting the initial carbon peak-reaching prediction result and the predicted value of the key index into a fifth model to obtain a final carbon peak-reaching prediction result. And more indexes are combined, so that the accuracy of carbon peak reaching prediction is improved.

The invention discloses an energy collaborative management method of a container type battery integration system, and relates to the technical field of container type energy storage equipment, and the method comprises the steps: obtaining the original data of a battery cabin during operation through a sensor group arranged in the battery cabin and combining the equivalent heat capacity Ct calibrated at a factory leaving stage; and an energy data set and a thermal state data set are formed after data processing. Constructing an effective energy transmission index Pli and a transmission matrix Pli (K, L) according to the energy data set to perform energy migration state evaluation, calculating a thermal response energy index Qth according to the thermal state data set to perform thermal accumulation state evaluation when an energy migration flow meets a standard, and constructing an energy flow collaborative decision index Efw collaborative decision evaluation if a thermal accumulation trend exists; and an analysis result is written into a time sequence database for filing, data drift is judged through a periodic differential change rate, and a parameter self-correction mechanism is automatically triggered. According to the method, dynamic coordination control of energy transmission and thermal load between the battery cabins is realized.

The invention provides an intelligent detection method and device for an energy abnormal channel, electronic equipment and a storage medium, geometric distortion and time difference interference in original data are eliminated through shot point and receiving node distance sorting and first arrival line leveling processing, and the accuracy of subsequent analysis is improved; the method comprises the following steps: extracting local energy indexes, capturing tiny anomalies, enhancing the sensitivity to local energy such as noise and local geological anomalies, extracting global energy indexes, identifying overall energy such as systematic equipment faults or large-scale geological change trend anomalies, avoiding the one-sidedness of local detection, and improving the detection comprehensiveness. A multi-classification deep network model is adopted, training is supervised through energy sample label data, the classification robustness is improved, the detection and quality control effect on node trace gather data energy abnormal traces in seismic data acquisition field quality control is improved, final classification is determined through statistics of the most types of model output appearing, accidental errors are reduced, and the result stability is enhanced.

The invention provides a carbon peak reaching prediction method and device based on electricity-certificate-carbon and index quantification. The method comprises the following steps: obtaining the quantity values of a plurality of energy indexes, the quantity values of a plurality of economic indexes, the quantity values of a plurality of scientific and technological indexes, the quantity values of a plurality of population indexes and the quantity values of a plurality of electricity-certificate-carbon indexes of a target object in target historical time; selecting a target number of energy indexes, economic indexes, scientific and technological indexes, population indexes and electricity-certificate-carbon indexes with the highest correlation; calculating the weight of each energy index, the weight of each economic index, the weight of each scientific and technological index, the weight of each population index and the weight of each electricity-certificate-carbon index; and inputting the quantity values and the weights of the indexes of the target number into a carbon peak-reaching prediction model, and determining the content output by the carbon peak-reaching prediction model as a carbon peak-reaching prediction result. And the accuracy of carbon peak reaching prediction for different regions or industries can be improved.

The invention provides a branch transient energy-driven power grid key section identification method, device and system and a medium, and the method comprises the steps: firstly, calculating four dynamic indexes of branch total virtual kinetic energy, disturbance energy accumulation time, disturbance energy impact and high-frequency energy ratio in a transient fault interval, and representing the characteristics of branch disturbance intensity, response time sequence and the like in a fault; a CRITIC method is adopted to fuse index variability and conflict, and branch transient energy indexes are constructed through weighted normalization; calculating an improved edge betweenness to describe an energy propagation main path by taking an index reciprocal as an edge weight; a weighted graph is constructed on the basis, high betweenness edges are gradually removed through a GN splitting algorithm, partitioning is controlled in combination with a power flow direction consistency criterion, and a key section is identified when the modularity is optimal; and finally, analyzing a branch load flow coupling relationship in the section by using the branch breaking distribution factor, screening a final transient key section with obvious dynamic response and compact structure, and realizing accurate identification of the transient energy propagation path key channel.

This invention discloses an energy collaborative management method for a containerized battery integrated system, relating to the field of containerized energy storage equipment technology. This method uses a sensor array deployed inside the battery compartment, combined with the equivalent heat capacity Ct calibrated at the factory, to acquire raw data during battery compartment operation. After data processing, energy datasets and thermal state datasets are formed. Based on the energy datasets, an effective energy transfer index Pli and a transfer matrix Pli(K,L) are constructed for energy migration state assessment. When the energy migration flow meets the standard, a thermal response energy index Qth is calculated based on the thermal state dataset for thermal accumulation state assessment. If a thermal accumulation trend exists, an energy flow collaborative decision index Efw is constructed for collaborative decision assessment. The analysis results are written into a time-series database for archiving, and data drift is judged by the periodic differential rate of change, automatically triggering a parameter self-correction mechanism. This method achieves dynamic coordinated control of energy transfer and heat load between battery compartments.