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Intelligent collaborative power consumption regulation and control method, apparatus and system for source-grid-load-storage, electronic device and storage medium
PCT designated stageWO2025251545A1Generation forecast in ac networkData processing applicationsEnergy regulationPower usage
The present disclosure relates to the technical field of intelligent monitoring and management of power systems, and specifically relates to an intelligent collaborative power consumption regulation and control method, apparatus and system for source-grid-load-storage, an electronic device and a storage medium. Said system comprises an energy regulation and control center and energy regulation and control units provided in microgrids; the energy regulation and control units use a temporal attention mechanism-based LRCN dual-layer network combined model to predict power consumption amounts, so as to generate power consumption surpluses and shortages within a future preset time; and on the basis of the power consumption surpluses and shortages and latest current electricity prices of the microgrids, the energy regulation and control center uses a fusion multi-objective algorithm based on a Pareto front curve and a fuzzy algorithm to generate a microgrid collaborative power consumption regulation and control solution, and sends the regulation and control solution to the energy regulation and control units for execution, so as to ensure the balance of energy supply and demand of the microgrids. Therefore, the present disclosure achieves efficient, intelligent and refined energy management for microgrid clusters, reducing energy consumption and costs, and providing solid support for sustainable development of microgrids.
Owner:BEIJING SMARTCHIP MICROELECTRONICS TECHNOLOGY CO LTD +1
Energy management method, device and equipment based on air conditioning system and medium
PendingCN120907215AMechanical apparatusLighting and heating apparatusProcess engineeringElectric consumption
The invention relates to an energy management method, device and equipment based on an air conditioning system and a medium. The method comprises the steps that in a preset period, a target cold storage capacity calculation model matched with the current working condition is selected from a plurality of candidate cold storage capacity calculation models according to the pre-obtained photovoltaic power generation power, the air conditioner system load and the change trend of the environment temperature; the environment temperature and the electric energy are input into the target cold storage capacity calculation model, and the cold storage capacity, output by the target cold storage capacity calculation model, of a phase change cold storage material in the air conditioner system is obtained; based on the cold storage capacity, the photovoltaic power generation power and pre-obtained planned electricity consumption probability distribution, analysis processing is conducted, and an energy management strategy of the air conditioning system is obtained; the energy management strategy is used for guiding the air conditioning system to adopt commercial power supply or photovoltaic power supply, whether to utilize the phase change cold storage material for cold storage or not and whether to start a compressor to assist in executing the cold storage process or not. By adopting the method, the power consumption cost can be reduced.
Owner:CHANGZHOU TIANHE SMART ENERGY ENG CO LTD
Optical storage layered collaborative optimization control method coupling photovoltaic priority absorption and time-of-use electricity price
ActiveCN120914916AGeneration forecast in ac networkBatteries circuit arrangementsNew energyElectric consumption
The invention discloses an optical storage layered collaborative optimization control method coupling photovoltaic priority absorption and time-of-use electricity price, and relates to the technical field of new energy power system optimization control. The method comprises the following steps: taking a photovoltaic generating capacity prediction value, a load electricity consumption prediction value and peak and valley electricity price information as input data; carrying out rolling optimization by utilizing a model prediction control framework, and generating a light storage plan table; and calculating a photovoltaic output regulation value and energy storage charging and discharging power based on the generated light storage plan table in combination with the photovoltaic power generation power and the load power consumption power which are acquired in real time, executing corresponding energy storage charging and discharging and photovoltaic output processing by applying a decision tree control mechanism, and optimizing light storage control according to a processing result. According to the method, the photovoltaic preferential consumption strategy is executed, the light abandoning amount is reduced, the photovoltaic consumption rate is improved, the time-of-use electricity price dynamic response mechanism and the energy storage efficiency compensation and light abandoning punishment mechanism are combined, peak-valley arbitrage is maximized, meanwhile, the comprehensive electricity utilization cost is reduced, and the power purchase demand of a power grid is reduced.
Owner:NANJING XINGHE ENERGY TECH CO LTD
Electricity consumption anomaly detection method, system and device based on environmental perception graph convolutional network and medium
The invention discloses an electricity consumption anomaly detection method, system and device based on an environmental perception graph convolutional network and a medium, and belongs to the technical field of smart power grids. The method comprises the steps that historical electricity consumption of a power grid area unit and external environmental factors are acquired to construct a multi-dimensional space-time association graph; a periodic trend component and environment-related residual fluctuation are separated through the multi-dimensional space-time correlation diagram, and a two-channel diagram convolution feature is obtained; in combination with the convolution features of the two-channel graph, feature space decoupling of a periodic channel and a residual channel is realized, and decoupling features are obtained; and extracting a historical residual fluctuation sequence based on the decoupling features, and constructing an environmental state sensitive probability density function. According to the method, the historical electricity consumption and the external environment factors such as temperature, humidity or weather events are closely fused by constructing the multi-dimensional space-time association diagram, so that the space-time dependence of the electricity consumption behavior is effectively captured, and misjudgment caused by ignoring environment dynamics in a traditional method is avoided.
Owner:HAINAN POWER GRID CO LTD
Photovoltaic user electricity consumption abnormity monitoring method and system based on artificial intelligence
The invention relates to the technical field of power utilization monitoring, and discloses a photovoltaic user power utilization abnormity monitoring method and system based on artificial intelligence. The photovoltaic user electricity consumption abnormity monitoring system based on artificial intelligence comprises a data acquisition module which is used for acquiring photovoltaic power generation data, electricity consumption data and environment data of a user; the data preprocessing and feature engineering module is used for cleaning, aligning and normalizing the original data acquired by the data acquisition module and constructing a feature data set for model training and reasoning; and the artificial intelligence analysis engine module comprises an unsupervised learning unit, a supervised learning unit and a deep learning unit. According to the invention, the false alarm rate and the missing report rate can be effectively reduced, the accurate diagnosis of the abnormal type can be realized, and the intelligent and accurate operation and maintenance requirements of power grid enterprises on the power utilization monitoring of photovoltaic users are met.
Owner:STATE GRID SHANXI MARKETING SERVICE CENT
Energy storage user identification method, system and equipment based on power grid energy consumption data
The invention discloses an energy storage user identification method, system and device based on power grid energy consumption data. The method comprises the steps of obtaining daily power consumption time sequence data of a target user; obtaining daily peak electricity consumption time sequence data and daily valley electricity consumption time sequence data according to the daily electricity consumption time sequence data; judging whether a date with negative daily peak electricity consumption exists in the daily peak electricity consumption time sequence data or not; if the date that the peak electricity consumption is negative exists, the target user is an energy storage user; if the date with the negative peak electricity consumption does not exist, daily valley electricity consumption data corresponding to a first date is obtained, and the first date is configured to be the date with the daily peak electricity consumption larger than a preset first threshold value; judging whether the dispersion degree of the daily valley electricity consumption data corresponding to the first date accords with a preset index or not; and judging whether the target user is an energy storage user. The problems that at present, an intelligent energy storage user identification method is lacked, and accurate identification is difficult to carry out are at least solved.
Owner:STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO
Line loss abnormity diagnosis method based on electric quantity fluctuation analysis
The invention relates to the technical field of electric power, in particular to a line loss abnormity diagnosis method based on electric quantity fluctuation analysis. The method comprises the following steps: acquiring an electricity user and electricity data; calculating a power supply quantity change rate and a power consumption change rate according to the daily power supply quantity of the transformer area and the fluctuation degree of the daily power consumption of the transformer area, and further judging a line loss abnormity type; if the line loss abnormity type is user side abnormity, screening the electricity users, and obtaining a user side abnormity type according to the screened electricity users; if the line loss abnormity type is power supply side abnormity, calculating a power supply quantity multiple, and performing fault attribution to obtain a power supply side abnormity type; and explaining the two exception types through the SHAP so as to generate a line loss exception diagnosis report. In this way, the adaptability and robustness of the diagnosis method in a novel scene containing a distributed power supply and the like can be enhanced, the interpretability of a diagnosis result is further improved, and a clear and credible feature basis is provided for field check.
Owner:MARKETING SERVICE CENT OF STATE GRID LIAONING ELECTRIC POWER CO LTD
Micro-grid energy optimization method and device based on distributed deep reinforcement learning
The invention provides a micro-grid energy optimization method and device based on distributed deep reinforcement learning, and relates to the technical field of micro-grid energy optimization and intelligent scheduling, and the method comprises the steps: building a feature sequence according to a time sequence based on historical electricity consumption, meteorological data and corresponding power supply amount; then training an LSTM model by using the two types of sequences to obtain a power consumption and power supply prediction model, obtaining a prediction error through a sliding window, then obtaining meteorological data of the next time period in the future, obtaining a power supply prediction value in combination with a historical sequence, and obtaining a prediction result based on historical meteorological combination error distribution; calculating the probability that the power supply quantity predicted value belongs to each interval as a first type of evidence; and then a second type of evidence is distributed by taking the future weather and working condition similarity as a weight, an abnormal fan is identified by adopting a dynamic time warping difference method, a power supply quantity predicted value is corrected, a third type of evidence is generated, finally D-S fusion is performed, a power supply quantity predicted value in the next time period in the future is output, and a power supply mode decision is made.
Owner:NANTONG INST OF TECH
New energy station load stability control method and system based on mutual conversion of electricity energy and hydrogen energy
The invention provides a new energy station load stability control method and system based on mutual conversion of electricity and hydrogen energy. Obtaining a generated power prediction curve of the new energy power generation facility, and determining a power difference value between the new energy power generation load and the power grid stability demand based on the prediction curve; a surplus hydrogen production electricity consumption instruction is issued, the operation number and the hydrogen production rate of an electric hydrogen production module are dispatched, and surplus electric energy is converted into hydrogen energy to be temporarily stored; receiving a real-time charging demand signal, dynamically issuing a charging permission load instruction based on the current new energy power generation load and the hydrogen gas turbine power generation load, and scheduling the power output of each charging pile; and according to the real-time states of the new energy power generation load, the electrical hydrogen production electrical load, the charging pile electrical load and the hydrogen gas turbine power generation load, starting, stopping and output power of the hydrogen gas turbine are adjusted, and reverse compensation of the new energy fluctuation power is achieved. New energy power generation fluctuation can be effectively stabilized, abandoned wind and abandoned light are reduced, and stable power supply of the distributed charging pile is achieved.
Owner:XIAN TPRI BOILER ENVIRONMENTAL PROTECTION ENG CO LTD
Industrial electricity consumption influence factor contribution degree quantification method and device based on multi-source heterogeneous data
The invention relates to the technical field of energy management, and particularly provides an industry electricity consumption influence factor contribution degree quantification method and device based on multi-source heterogeneous data, and the method comprises the steps: constructing a machine learning model for predicting industry electricity consumption based on industry electricity consumption influence factors; and quantifying the contribution degree of the industrial electricity consumption influence factors by using the machine learning model and a Shapley value method. The technical scheme provided by the invention provides support for the power grid to accurately grasp the power consumption change characteristic, supports the power supply guarantee work of a power grid company, and guarantees the safe and stable operation of the power grid under the novel power system.
Owner:CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD +4
Power carbon emission dynamic distribution method based on multi-level responsibility main body
PendingCN120914789AData processing applicationsAc networks with different sources same frequencyPower flowNew energy
The invention relates to the technical field of electric power systems, and discloses an electric power carbon emission dynamic distribution method based on a multistage responsibility subject, and the method comprises the steps: firstly determining a dynamic carbon emission factor based on the real-time load data of a generator set, and calculating the direct carbon emission; then, node carbon emission factors of all nodes in the power system are calculated on the basis of the carbon emission flow theory and in combination with power flow distribution; and finally, dividing the power network into multi-level responsibility subjects, calculating regional carbon emission factors of the subjects according to node carbon emission factors, and calculating indirect carbon emission by combining the net power consumption of the subjects, thereby realizing dynamic and accurate distribution of carbon emission responsibilities. According to the method, the problems that a traditional accounting method is not accurate and responsibility distribution is not public are solved, the distribution accuracy and fairness are improved through dynamic factors and multi-level tracing, and a scientific basis is provided for guiding emission reduction of a user side and promoting new energy consumption.
Owner:NORTH CHINA ELECTRIC POWER UNIV
Electricity stealing detection method based on line loss, non-intrusive monitoring and dynamic time warping
The invention provides an electricity stealing detection method based on line loss, non-intrusive monitoring and dynamic time warping, and the method comprises the following steps: analyzing the electricity consumption of a user in a power distribution area with an abnormal daily line loss rate, and generating the line loss evidence of a suspected user; comparing the load data of the suspected user obtained based on the non-intrusive load monitoring with the power consumption behavior of the suspected user, and generating a contradictory evidence that the power consumption behavior has contradictions; based on the current waveform library of the electricity stealing behaviors, analyzing the similarity between the user current waveform of the suspected user and an electricity stealing waveform template recorded in the current waveform library, and generating waveform matching evidence; and based on the line loss evidence, the contradiction evidence and the waveform matching evidence, weighting and fusing to obtain the comprehensive score of the suspected user, and screening the target electricity stealing user. The electricity larceny detection method based on line loss, non-intrusive monitoring and dynamic time warping has the advantages of high efficiency, high precision, low cost and strong interference capability, and can effectively identify electricity larceny users.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO ZHENJIANG POWER SUPPLY CO
Robot charging control method and system, electronic equipment and storage medium
PendingCN121791372ABatteries circuit arrangementsSecondary cells charging/dischargingSimulationElectric consumption
The invention discloses a robot charging control method and system, an electronic device and a storage medium, and the method comprises the steps: monitoring the first average electric quantity of all available robots, and generating a charging task according to the remaining electric quantity of the available robots and an electric quantity rapid pull-up strategy under the condition that the first average electric quantity is smaller than a low electric quantity threshold value, and the charging task is sent to the target available robot, the second average electric quantity of all the available robots after one-time charging is completed is calculated, and when it is determined that the second average electric quantity is larger than or equal to the safe electric quantity threshold value, the electric quantity rapid pulling-up strategy is controlled to be ended. When it is determined that the first average electric quantity of the all-field available robots is smaller than the low electric quantity threshold value, the electric quantity rapid increasing strategy is started, the target available robot is charged based on the number of the idle charging piles, it is ensured that the phenomenon that the electric quantity of the all-field available robots is too low, and consequently a large number of automatic shutdown occurs is avoided; and manpower waste caused by manual charging intervention on the available robot is reduced.
Owner:HEFEI JIZHIJIA ROBOT CO LTD
Method and device for determining allowable power of battery, equipment and storage medium
Owner:VOYAH AUTOMOBILE TECH CO LTD
Energy storage system capacity configuration optimization method and device and storage medium
The invention discloses an energy storage system capacity configuration optimization method and device and a storage medium, and relates to the technical field of energy storage system capacity configuration.The energy storage system capacity configuration optimization method comprises the following steps that daily total electricity utilization power information of a factory is continuously collected, corresponding weather information is obtained, and factory power weather data is obtained; denoising processing is carried out, an electricity consumption power prediction model is constructed, and the daily total electricity consumption power of the factory is predicted; calculating a prediction error, carrying out error rule analysis, and correcting the predicted total power consumption power to obtain corrected power prediction data; calculating predicted electricity consumption, and performing configuration optimization on the capacity of the energy storage system of the factory according to the predicted electricity consumption; the method is used for solving the problems that when an existing energy storage system capacity configuration technology configures the capacity of an energy storage system of a factory through a power consumption prediction model, the rule of prediction deviation of the model cannot be analyzed, meanwhile, a prediction result cannot be corrected, and the accuracy of capacity configuration of the energy storage system cannot be improved.
Owner:JIANGSU LONGTU ELECTRIC POWER TECHNOLOGY CO LTD
Energy storage system capacity configuration optimization method
The invention discloses a capacity configuration optimization method for an energy storage system, relates to the field of energy storage planning, solves the problem of energy waste of the energy storage system, and comprises the following steps: collecting historical environmental data of a region where a power generation facility corresponding to the energy storage system is located and historical power consumption of a power grid corresponding to the energy storage system; analyzing the power generation performance of the power generation facility of the energy storage system and the power consumption performance of a power grid corresponding to the energy storage system to obtain a peak value operation time period, an average value operation time period and a valley value operation time period corresponding to the energy storage system; setting a system capacity configuration scheme of the energy storage system corresponding to the peak value operation time period and the valley value operation time period; analyzing the operation state of the energy storage system corresponding to the average operation time period, and setting a system capacity configuration scheme of the energy storage system in the average operation time period; the actual energy storage mode of the energy storage system is adjusted based on the system capacity configuration schemes corresponding to the peak value operation time period, the average value operation time period and the valley value operation time period, and stable operation of the energy storage system is guaranteed by improving the energy utilization rate.
Owner:CHONGQING HUAXIU TECH CO LTD
Industrial electricity consumption intelligent prediction method and system based on industrial chain portrait
The invention discloses an industrial power consumption intelligent prediction method and system based on an industrial chain portrait, and relates to the technical field of intelligent prediction, and the method comprises the steps: obtaining multi-source operation data covering an upstream raw material end, a midstream manufacturing end and a downstream application end of a target industrial enterprise, carrying out the arrangement and modeling of the data, and obtaining a model; forming an industrial chain portrait reflecting a node supply-demand relationship; based on the external factors, the enterprise position information, the productivity level and the energy consumption characteristics, fusing the industry chain portrait to obtain standardized portrait data; establishing an electricity consumption conduction relationship between the upstream and the midstream and between the midstream and the downstream, and generating a lag mapping function in combination with an inventory turnover period and an order production scheduling period; and constructing an electricity consumption prediction model, performing time sequence prediction and environment correction on the target enterprise, and generating comprehensive electricity consumption prediction information. According to the method, multi-dimensional energy consumption dynamic prediction of the glass industry chain can be realized, and the prediction precision and the energy management level are improved.
Owner:NORTH CHINA GRID MEASUREMENT CENT +2
Optical storage and charging system adaptive load balancing method based on dynamic scene perception
ActiveCN121261357AData processing applicationsLoad forecast in ac networkElectric consumptionPower usage
The invention discloses a self-adaptive load balancing method for a light storage and charging system based on dynamic scene perception, and relates to the technical field of load balancing of the light storage and charging system, and the method comprises the following steps: calculating the time period photovoltaic generating capacity of different electricity price time periods based on a sunshine time period; analyzing the single-hour power load of the power grid per hour within one day based on the historical power utilization data of the region; analyzing the overload time period and the normal time period, and calculating the required electric quantity of the overload time period; analyzing the energy storage consumption required to be consumed by the optical storage and charging system in the overload period; analyzing a storage balance scheme of the optical storage and charging system in a normal time period based on the energy storage consumption; the method is used for solving the problems that only the influence of the economic level is considered and the electricity consumption of residents is difficult to accurately predict in the existing load balancing technology of the optical storage and charging system, so that the effect of the optical storage and charging system is not fully played, and the proportion of charging and discharging cannot be accurately planned in advance.
Owner:SHENZHEN EN PLUS TECH CO LTD
Power grid hour-level green electricity source tracing method and system based on space-time matching
PendingCN121391300AKey distribution for secure communicationUser identity/authority verificationTimestampPower grid
The invention relates to a power grid hour-level green electricity source tracing method and system based on space-time matching. The method comprises the following steps: firstly, collecting power generation data of a power generation end containing a power generation equipment identifier, power generation quantity and a power generation timestamp and power utilization data of a power utilization end containing a user identifier, power utilization quantity and a power utilization timestamp, and preprocessing and integrating into a power generation record and a power utilization record; for each to-be-traced power utilization record, dynamically delimiting a time window according to the power utilization timestamp; all power generation records in the window are inquired and aggregated to calculate the total power generation amount; then, according to the proportion of the generating capacity of each power generation device in the total generating capacity, green electric quantity distributed to the electricity utilization record is calculated, and a distribution relation is recorded to generate a traceability result containing a user identifier, a power generation device identifier, the distributed electric quantity, a time window and matching confidence; and finally, generating an ESG report and an electronic certificate based on the traceability result. Compared with the prior art, the method has the advantages of high traceability precision, high automation degree, high reliability and the like.
Owner:STATE GRID JIBEI ELECTRIC POWER COMPANY +2
Cooperative regulation and control method and system for electric power and computing power
The invention discloses an electric power and computing power coordinated regulation and control method and system, and relates to the field of load regulation and control, and the method comprises the steps: obtaining the electric power data of a power generation side and the electric power data of a computing power center, inputting the electric power data into a preset multi-target coordinated optimization algorithm, and obtaining the power generation and consumption data of a target time period meeting the requirements of the minimum power consumption cost and the maximum green power consumption, load distribution parameters are generated in combination with load demand data of the computing power center, and power generation and utilization loads of a computing task, computing power equipment, refrigeration equipment, a power generation side and the like of the computing power center are accurately controlled in a target time period. Through collaborative optimization of the power generation side and the computing power center, the green power intermittency and the computing power load fluctuation are effectively balanced, the green power consumption rate is improved, the power consumption cost of the computing power center is reduced, and the power supply and computing power operation stability is guaranteed.
Owner:BEIJING SIFANG JIBAO AUTOMATION +1
Batch electric charge settlement method and device based on multi-dimensional space-time tensor
PendingCN121560940ADigital data information retrievalPayment architectureComputational physicsElectric consumption
The invention provides a batch electric charge settlement method and device based on a multi-dimensional space-time tensor, and the method comprises the steps: receiving a query request, and obtaining the batch power consumption data of a to-be-calculated user according to the query request; generating an electricity consumption tensor according to the electricity consumption data; obtaining an electric charge rule of an area where the to-be-calculated user is located, wherein the electric charge rule is described through a DSL language; generating a condition mask matrix based on the electricity charge rule; performing condition screening according to the power consumption tensor and the condition mask matrix to obtain a screened power consumption tensor; analyzing the electricity charge rule to generate an electricity price tensor; calculating according to the electric quantity tensor and the electricity price tensor to obtain an electricity price tensor of the user to be calculated; the method can improve the efficiency of calculating the electric charge of massive users.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT +2
Power consumption prediction method and system based on fusion RAG and personalized graph federated learning
The invention relates to an electricity consumption prediction method and system based on fusion RAG and personalized graph federated learning, and belongs to the technical field of electricity consumption prediction. The method comprises the following steps of: preprocessing historical electricity consumption data of each municipal district, converting the historical electricity consumption data into a data frame, and improving data quality by removing a full null value column, eliminating abnormal data, filling missing values by adopting linear interpolation and the like; carrying out normalization processing on the data by utilizing a Z-score and Min-Max standardization method; a graph neural network is adopted as a basic model structure, an adjacent matrix is generated in combination with geographic position information, and the space incidence relation between communities is captured; an RAG knowledge base is introduced, special scene structured external knowledge is integrated, an embedded vector is generated through Sension-BERT to achieve historical scene retrieval, a retrieval result and model prediction are fused in combination with a gating mechanism, under a federated learning framework, a server initializes a plurality of personalized models, and a user carries out training locally to upload updated model parameters. And the server calculates an aggregation weight between the users through the functional feature similarity.
Owner:国网福建省电力有限公司营销服务中心 +1
Multi-element flexible load feature extraction method based on hydrogen energy demand response
The invention discloses a multi-element flexible load feature extraction method based on hydrogen energy demand response, and relates to the technical field of hydrogen energy demand resource planning. In order to construct an optimization control model responding to a power grid signal, hydrogen production efficiency maximization and power utilization planning rationalization are realized. The method specifically comprises the following steps: obtaining new energy power generation power characteristic data, predicting daily average generating capacity data according to the data, obtaining all-day time-of-use electricity price characteristic data of a commercial power grid, and dividing the data into peak / flat / valley time periods; according to the multi-element flexible load feature extraction method and the control strategy, the electric energy use strategy and the hydrogen production and hydrogen supply equipment operation strategy suitable for the whole hydrogen energy supply project can be formulated according to the stirring filtering of the new energy generating capacity, so that the energy consumption is reduced on the premise that the stable and sufficient hydrogen supply amount is ensured. The power consumption of the hydrogen energy supply project in the peak period and the flat period of the power grid is effectively reduced, and the comprehensive energy efficiency and the green power consumption rate of the hydrogen energy supply project are effectively improved.
Owner:XINJIANG HUISHEN NEW ENERGY TECHNOLOGY CO LTD
Electricity meter management of circuit breaker open-switch events
Techniques for smart electricity meter operation and management of open-switch events are described. In an example, a voltage value of a transformer-side of a service site is measured. Power consumption at the service site is measured. Based at least in part on the voltage value being non-zero and the power consumption being zero, it is determined that an open-switch event occurred. That is, because the utility company is supplying typical voltage to the electricity meter, and because the power consumption is zero, a breaker switch may have tripped. Accordingly, a customer of the service site is notified of the open-switch event.
Owner:ITRON INC
Power system carbon metering equipment detection system and detection method based on power flow
The invention relates to a method and a system for detecting carbon metering equipment of a power system based on power flow, which solve the problems of large metering error, difficulty in quantification, non-traceability and the like in the prior art, and adopts the technical scheme that the method comprises the following steps of: connecting and initializing the system, and configuring detection task parameters; generating and outputting a test signal of a preset parameter; issuing a preset dynamic electric power carbon emission factor to the measured carbon metering equipment; actual carbon emission is calculated based on electric energy metering and the dynamic electric power carbon emission factor; electricity consumption data and carbon emission data output by the detected carbon metering equipment are collected, and theoretical carbon emission is calculated; and determining the detection qualification of the detected carbon metering equipment based on the comparison result of the actual carbon emission and the theoretical carbon emission. The method has the advantages that the accuracy, the consistency and the reliability of the distributed carbon metering device are evaluated and verified on line, and the credibility of carbon emission accounting of an electric power system is improved.
Owner:STATE GRID ZHEJIANG ELECTRIC POWER CO MARKETING SERVICE CENT
Power management system, power management method, and storage medium storing power management program
A power management system is configured to calculate an amount of electric power for travel and an amount of consumption-related electric power based on a power consumption parameter representing electric power consumed in a vehicle, the amount of electric power for travel being consumed while the vehicle is traveling until reaching a destination, the amount of consumption-related electric power being required to execute a function of an in-vehicle device used until the destination is reached; create a power use plan for traveling to the destination; and determine whether it is appropriate to use the current power use plan. An updated power use plan that is different from a current power use plan is created when it is determined that the current power use plan is inappropriate.
Owner:DENSO CORP
New energy station energy storage system charging and discharging optimization method based on multiple constraints
PendingCN120914863ABatteries circuit arrangementsSingle network parallel feeding arrangementsDischarge efficiencyNew energy
The invention discloses a new energy station energy storage system charging and discharging optimization method based on multiple constraints, and relates to the field of new energy station energy storage system charging and discharging optimization, and the method comprises the steps: dividing the time interval of the day into a plurality of continuous time periods, carrying out the similarity matching of the meteorological data of each time period with the data under the historical similar meteorological conditions, corresponding actual power generation record data are screened out, and the actual power generation amount of each time period is calculated; when the deviation type is judged, the deviation is divided into three conditions of positive deviation, negative deviation and no deviation; constructing a priority dynamic adjustment mechanism, responding to time period electricity shortage early warning signals issued by a power grid dispatching mechanism in real time, and optimizing time period sorting by combining charging and discharging efficiency historical data of each time period of the energy storage system; and monitoring the deviation frequency of the daily actual transmission electric quantity and the planned electricity consumption in real time, and dynamically adjusting the subsequently declared planned electricity consumption according to the deviation frequency. And the accuracy of the power generation plan of the new energy station and the consumption capability of the power grid are improved.
Owner:XIAN FENGPIN ENERGY TECH CO LTD
Photovoltaic street lamp self-recovery power supply and energy storage management method
ActiveCN120999865AMechanical apparatusBatteries circuit arrangementsElectric consumptionReliability engineering
The invention discloses a self-recovery power supply and energy storage management method for a photovoltaic street lamp, relates to the field of public lighting, and solves the problem that the existing self-recovery power supply and energy storage management method for the photovoltaic street lamp is poor in application effect. S2, making a power supply strategy for a target photovoltaic street lamp according to the illumination time period division data, obtaining an energy storage prediction period and a real-time energy storage period, and carrying out illumination intensity matching and cloud layer thickness matching with a strategy execution historical time period. And S3, by analyzing and predicting the period matching data, creating an electricity consumption fitting equation to carry out energy storage power adjustment on the target photovoltaic street lamp. According to the method, the service life of the photovoltaic street lamp can be prolonged.
Owner:FOSHAN HUIMING PHOTOELECTRIC CO LTD
SOC dynamic calibration method and system for energy storage system and storage medium
PendingCN121142329AElectrical storage systemBatteries circuit arrangementsThermodynamicsElectrical battery
The invention provides an SOC dynamic calibration method and system for an energy storage system and a storage medium, and relates to the technical field of energy storage systems. The method comprises the following steps: acquiring a cluster SOC value of each battery cluster in the energy storage system; determining a current operation state of the energy storage system, wherein the operation state comprises charging, discharging and standing; according to the current operation state, dynamically allocating a weight value to each cluster SOC value, and if the current state is the charging state, allocating a larger weight value to the higher cluster SOC value; if the current state is the discharge state, distributing a larger weight value for the cluster SOC value which is lower; if the system is in a static state at present, distributing a larger weight value for the cluster SOC value closer to the average value of all cluster SOC values; and based on the SOC values of all clusters and the distributed weight values, calculating a weighted average value, and outputting the weighted average value as a system SOC value representing the overall available power of the energy storage system.
Owner:SHENZHEN TIG TECHNOLOGY CO LTD
Gateway electric quantity prediction method and system for virtual power plant
PendingCN120879552AData processing applicationsLoad forecast in ac networkEngineeringElectric consumption
The invention relates to the technical field of photovoltaic power generation and load prediction, and discloses a gateway electric quantity prediction method and system for a virtual power plant, and the method comprises the steps: carrying out the preprocessing of obtained historical multi-source weather, photovoltaic output and load power data; based on the preprocessed multi-source weather forecast data and the corresponding historical measured data, training a preset weather deviation correction model to correct irradiance and temperature in future weather forecast; fusing the corrected data through a weighted average method to construct meteorological input data; performing feature derivation processing on the meteorological input data and screening features strongly related to photovoltaic output and net load electricity consumption; a dynamic weighted integration model is further adopted to predict the photovoltaic power generation capacity and the net load power consumption; and determining the gateway electric quantity according to the difference value between the photovoltaic generating capacity predicted value and the net load electricity consumption predicted value. According to the method provided by the invention, the data quality, the meteorological input precision and the model prediction performance can be improved, and the generalization ability and the interpretability of the model are enhanced.
Owner:HUIDIAN TECHNOLOGY (SUZHOU) CO LTD