122 results about "Power dispatch" patented technology

This invention discloses a method and system for real-time monitoring and prediction of carbon intensity, belonging to the field of carbon emission monitoring technology. The method acquires and processes electricity-related data such as installed capacity and real-time load of each province hourly through an ETL data channel; it draws a map of China based on ECharts, dividing it into five color-level intervals according to carbon intensity values: 0-300, 301-500, 501-700, 701-900, and 901-1200 gCO2 / kWh; responding to user clicks on provinces, it displays detailed data for each province through indicator cards, circular progress charts, and one-sided bar charts; it calls a pre-trained STFCI hybrid model to predict carbon intensity hourly for the next 24 hours. This model integrates a 2-layer 128-neuron LSTM unit with an XGBoost unit with 100 trees and a learning rate of 0.1, outputting predicted values ​​after feature concatenation and a fully connected layer; the prediction results are displayed as a bar chart, marking customizable low-carbon threshold lines, highlighting low-carbon periods, and generating electricity consumption suggestions. The corresponding system includes a data interface, database, visualization, prediction, and WeChat service modules. The database adopts an InfluxDB+MySQL combined architecture, and the WeChat service module supports mobile text and image queries. The STFCI model of this invention has an average absolute error of only 12.3 gCO2 / kWh, significantly improving prediction accuracy, realizing hourly real-time monitoring and multi-dimensional visualization of carbon intensity, and providing precise decision support for power dispatching and energy conservation and emission reduction when combined with mobile services.

This application discloses a method and device for safety verification of power dispatching switching operations based on artificial intelligence, relating to the field of power dispatching technology. The method includes: responding to a switching operation command, performing semantic parsing and feature extraction on the switching operation command based on a preset language processing model to obtain operation features; traversing the associated devices corresponding to the operating devices in the operation features, performing association verification on the state transitions of the operating devices and associated devices according to preset conversion rules, and outputting a first verification result; obtaining continuous and consistent information of the operation features based on the operation sequence corresponding to the switching operation command, performing dynamic consistency verification based on the continuous and consistent information, and outputting a second verification result; and outputting a power dispatching switching operation safety verification result using the first and second verification results. The beneficial effect of this application is that it improves the reliability and accuracy of power dispatching switching operation safety verification through a dual verification mechanism.

The application discloses a power data processing method, system, device and storage medium, relates to the technical field of power data processing, and solves the problem of judgment errors caused by disordered data in traditional power data processing decisions by screening the acquired power market real-time operation data through preset global filtering parameters to obtain effective real-time operation data. According to preset signal generation parameters, state classification operation is carried out on the effective data, and operation instruction signals containing interaction direction and state level are output, and then combined with preset system response gear parameters, preliminary control instruction data is calculated and generated, so that the problems of traditional operation signal ambiguity and low strategy matching degree are solved. Further, through the preset regional operation constraint parameters combined with the real-time state data of the unit main body, the preliminary control instruction data is checked and corrected, the risk of operation instruction violating the regional operation rules is avoided, and it is ensured that the instruction can be effectively recognized and executed by the power dispatching center.

This invention discloses a power dispatching decision-making method and system based on multi-agent collaboration, belonging to the field of power dispatching technology. It includes: acquiring user dispatching query requests for power system fault scenarios; inputting the dispatching query requests into a dispatching decision model, parsing the dispatching query requests through an intent recognition module to obtain an execution plan; based on the execution plan, semantically aligning real-time status information, logical chain information, and rule subsets to obtain a fusion matrix; rendering the fusion matrix to obtain dispatching suggestion text; performing rule compliance review on the dispatching suggestion text, and iteratively optimizing the dispatching suggestion text if the review fails; and reviewing the optimized dispatching suggestion text to obtain the power dispatching decision text. This invention ensures that the recalled information is not fragmented but a coherent reasoning chain embedded with domain logic, thereby improving the accuracy of power dispatching decisions.

The application discloses a power dispatching operation risk linkage modeling method and system based on a knowledge graph, and belongs to the technical field of power system automation, which comprises the following steps: constructing an electric power business semantic field and a physical topology graph; generating a business semantic vector facing topology anchoring by using a neural network; identifying a risk event and encapsulating it as a risk logic cluster containing an influence chain and disposal knowledge; linking the risk logic to the topology graph by a bidirectional coupling engine to generate a risk linkage knowledge graph; and capturing artificial intervention decision differences based on visual deduction to realize double-space co-evolution closed loop. The application adopts semantic recognition and topology model deep fusion technology, can break through the digital linkage channel of risks and equipment and users, realizes dynamic risk perception and penetrating analysis, and improves the timeliness and accuracy of power dispatching in response to real-time operation risks.

The application discloses a vehicle heat and electricity comprehensive energy system power dispatching method and device, equipment and medium, wherein, the method comprises the following steps: establishing a node model of each part working node in the vehicle heat and electricity comprehensive energy system; determining the power capacity constraint, state constraint, climbing constraint and balance constraint of each part working node, taking the system maintenance cost as the objective function, and solving each part working node power configuration meeting the load requirement and minimum cost by using a preset mixed integer programming method in each preset dispatching period; and generating the optimal power dispatching strategy of the vehicle heat and electricity comprehensive energy system based on the power configuration of each part working node. Thus, the problems that the existing technology cannot reasonably distribute the energy of the vehicle heat and electricity comprehensive energy system coupling the fuel cell and the supercritical carbon dioxide Brayton cycle are solved.

This invention relates to the field of power dispatch and control technology, and in particular to a method and system for constructing an AGC test and verification scenario library containing new energy sources. The method first standardizes and cleans abnormal data from multi-source historical power grid operation data, performs AGC unit inversion correction, and generates initial AGC test data sets by dividing the data into segments according to a preset test duration. Then, based on each data set, AGC closed-loop simulation tests are performed, and valid test samples are selected according to power flow convergence to construct a preliminary scenario library. Further, from three dimensions—typical operation scenarios, fault scenarios, and new energy output scenarios—the valid samples are clustered and labeled to extract composite test scenarios and remove redundant samples. Finally, an AGC abnormal operating condition quantification model is constructed to derive extreme abnormal operating condition test scenarios, forming the final scenario library, thereby improving the comprehensive verification capability of the AGC system under high-proportion new energy conditions.

This invention relates to the field of high-voltage direct-connection power supply and power dispatch control technology, and discloses a dual AC input power conversion module, a power supply system, and a control method. The dual AC input power conversion module includes a first AC input terminal, a second AC input terminal, a rectifier unit, and a DC-DC conversion unit. The rectifier unit includes a first rectifier branch and a second rectifier branch connected to the first AC input terminal and the second AC input terminal, respectively. The negative terminal of the first DC bus after rectification by the first rectifier branch is connected to the positive terminal of the second DC bus after rectification by the second rectifier branch. The positive terminal of the first DC bus after rectification by the first rectifier branch and the negative terminal of the second DC bus after rectification by the second rectifier branch serve as the positive and negative terminals of the module's DC bus. In the power supply system constructed based on the dual AC input power conversion module, the secondary side of the phase-shifting transformer is equipped with at least one set of multi-pulse phase-shifting windings. The two AC input terminals of each dual AC input power conversion module are respectively connected to two sets of windings with different phases. Multiple power conversion modules are arranged in pairs to form a minimum output power unit, and are connected to multiple load ports via a matrix switching unit. The controller controls the synchronous switching of two power conversion modules in the same group and performs power allocation and recovery.

This application provides a power dispatching method, apparatus, device, and storage medium for a photovoltaic (PV) system. The power dispatching method includes: generating power dispatching instructions for multiple slave PV inverters at a preset period using a master PV inverter, and sending the power dispatching instructions to each slave PV inverter; wherein the power dispatching instructions are used to dispatch the output power of the PV power generation equipment corresponding to the slave PV inverters, so that the power output from the PV system to the grid is less than a preset power threshold; if a fault is detected in the master PV inverter, a new master PV inverter is selected from the multiple slave PV inverters; the new master PV inverter generates power dispatching instructions for the remaining multiple slave PV inverters at a preset period, and sends the power dispatching instructions to the remaining slave PV inverters. This power dispatching method helps improve the operational stability of the PV system.

The invention belongs to the technical field of power dispatching and operation, and particularly provides a negative electricity price scene-oriented source-grid-load-storage collaborative interaction and marginal cost optimization system and method, and the method comprises the steps: monitoring the state of a power market through a data collection module, predicting the supply and demand conditions of the system, and judging that there is a negative electricity price risk; calculating real-time marginal cost of the schedulable resources, wherein the real-time marginal cost comprises power generation resource marginal cost, energy storage resource marginal cost and load regulation marginal cost; establishing an optimization model by taking the minimization of the total marginal cost of the system as a target, and solving to obtain an optimal scheduling scheme of each resource; converting the optimal scheduling scheme into a specific control instruction, issuing the specific control instruction to each resource main body of a source, a network, a load and a storage, and executing power generation adjustment, charging and discharging or load interruption operation; and monitoring the execution effect of each resource instruction and the actual clearing electricity price of the market in real time, calculating the execution deviation, and carrying out rolling correction in the next optimization period. According to the invention, early warning of the negative electricity price risk can be realized, and global optimization scheduling is carried out on the source network load storage resources.

This invention relates to the field of power dispatching technology, and more particularly to a power dispatching method and system based on the Internet of Things (IoT). This method collects real-time data on photovoltaic, energy storage, and load data from industrial parks, constructs an energy coordination topology using a graph neural network, and reveals the coupling relationships between nodes. Based on this, a coordination dispatching strategy is generated, and spatiotemporal simulation is performed on a digital twin platform to detect power flow conflicts and mark constrained regions. Deep reinforcement learning is used to optimize conflict events, trace strategy defects, reconstruct the reward function, and output control parameter compensation values. Finally, the constrained regions and compensation parameters are fused to generate an instruction set and issue it for execution. This method achieves refined perception and intelligent closed-loop control of microgrids, effectively improving energy utilization efficiency and system operational stability.

This invention discloses a renewable energy dispatching method, device, terminal, and medium based on risk perception. The method predicts photovoltaic (PV) power generation using confidence level, environmental data, and a PV power generation prediction model; constructs a two-layer optimization model to coordinate aggregator costs and building user costs during demand response; and obtains building flexible participation capacity and demand response incentive price by solving the two-layer optimization model. Based on confidence level, PV power generation, building flexible participation capacity, and demand response incentive price, it constructs an aggregator day-ahead bidding profit optimization model and supply and demand constraints, respectively. Based on the aggregator day-ahead bidding profit optimization model and supply and demand constraints, it optimizes the energy storage system's charging and discharging strategy and energy trading strategy. This solves the problem of existing technologies failing to consider the uncertainty of power generation, user participation costs in demand response, and willingness to respond, making it difficult to effectively balance the risks of power shortages and trading benefits, and achieving power dispatch optimization under uncertain conditions.

This invention discloses an emergency power dispatching method and system based on wireless communication, relating to the field of charging management technology. The invention stores demand beacons, power supply capacity beacons, and wireless coverage status in a database. Even after a network outage or other disaster, demand contracts can still be generated and committed bids received. This ensures unique order dispatch after conflict resolution. The dispatch token carries a one-time handover code and power level restrictions to prevent fraudulent claims, duplicate deliveries, and overload. Power suppliers transmit their status en route and calculate risks to trigger reordering, reducing the probability of delayed power outages. Communication nodes are prioritized based on coverage strength and remaining power supply time, restoring coverage first and then improving overall dispatch reachability, thereby improving uninterrupted power supply for critical loads and resource utilization.

This invention discloses a method, apparatus, terminal device, and storage medium for verifying cross-level dispatching instructions, belonging to the field of power dispatching technology. The method involves identifying several unparsed terms from several initial dispatching instructions and determining part-of-speech tags. Then, based on each unparsed term and its corresponding part-of-speech tag, context analysis and dependency parsing are performed on each initial dispatching instruction. Equipment terms, as well as corresponding parameter terms and numerical terms, are determined from the unparsed terms in each initial dispatching instruction. Based on the equipment terms, their corresponding parameter terms, and numerical terms, several instructions to be verified are constructed. Finally, based on the equipment terms in the instructions to be verified, the corresponding target equipment and its parameters are determined from a preset equipment database. Based on the equipment parameters, the instructions to be verified are finally verified, thus solving a certain safety hazard problem in current power dispatching.

The application discloses a kind of energy supply system operation method, energy supply system, equipment and medium, it is related to energy management and power dispatching control technical field, the energy supply system includes control unit, energy storage unit, power grid and electrical load, the method includes: control unit acquires system operation basic information;According to the current power grid price, determine the current time period of price;According to the current available energy state, determine the energy release permission determination result of the energy storage unit;Based on the total power demand, determine the energy supply mode currently used according to the price time period and energy release permission determination result, and generate corresponding scheduling instruction.Through the feedback mechanism of real-time closed loop and the decision logic of hierarchical determination, under the premise of guaranteeing the reliability of data center power supply, flexible, economic and self-adaptive optimization operation management of energy storage system is realized, thereby effectively realizing peak clipping and valley filling, and reducing the overall power consumption cost of data center.

The application belongs to the technical field of power dispatching management, and provides a power dispatching system based on a cloud platform, in order to solve the problem of low technical accuracy of power dispatching in traditional technologies, the system provides global and high-credibility decision basis for abnormal identification by fusing five layers of data of physical entities, control execution, model algorithms, business management and system operation and maintenance based on the cloud platform; through the layered diagnosis logic of 'wisdom first, then physics', the reliability of data and models is verified first, ensuring the accuracy of subsequent decision input; after confirming the abnormality of the physical system, the digital twin model is used for hypothesis simulation and abnormal propagation chain construction, realizing accurate positioning from abnormal appearance to physical root cause equipment; finally, alarm information is generated based on the traceability result, which can significantly improve the accuracy and reliability of abnormal monitoring of the power dispatching system, and ensure the accuracy and efficiency, intelligence and automation of power supply dispatching and control.

The application discloses a kind of based on atlas search enhancement generation power dispatching decision method, device, terminal equipment and storage medium, belong to power dispatching technical field, above-mentioned method is: obtaining the historical power dispatching data of power system, and the power state data after current fault occurs, generate instruction graph for indicating the operation instruction path corresponding when handling each type of fault task Instruction;Then instruction graph and power state data are input to preset power dispatching decision model, automatically generate several dispatching instruction operation paths for handling current fault task;Then dispatching instruction operation path is input to preset large language model, generates final dispatching instruction operation path;Finally, according to final dispatching instruction operation path, power system is dispatched.By implementing the present application, it can solve the problem of low efficiency of power dispatching decision generation caused by relying on the personal experience of dispatchers in the prior art.

This invention discloses a combined cooling, heating, and power (CCHP) system and method for data centers based on solid oxide fuel cells, belonging to the field of combined energy supply technology. By integrating a solid oxide fuel cell power generation system, an electrically driven heat pump system, an absorption refrigeration system, a power dispatching system, an energy control system, and an energy storage system, this invention constructs a completely grid-independent CCHP system for data centers. This system achieves independent CCHP for data centers, completely eliminating dependence on the power grid. Through the energy control system, it enables dynamic tracking of load demand, significantly reducing carbon dioxide emissions while minimizing fuel waste, thus systematically achieving energy conservation and emission reduction.

This application provides a reactive power dispatching method, apparatus, device, and storage medium for an energy storage system, relating to the field of energy storage control technology. The specific technical solution is as follows: In response to an active power command, based on the state parameters of multiple energy storage units, the active power of the energy storage converter corresponding to each of the multiple energy storage units is determined; secondly, based on the total active power, a first compensation reactive power is determined to compensate for the reactive power loss of the leakage inductance of the primary winding of a multi-winding transformer; then, based on the active power of each energy storage converter, a second compensation reactive power is determined to compensate for the reactive power loss of the leakage inductance of the secondary winding connected to each energy storage converter; finally, based on the first compensation reactive power and the second compensation reactive power corresponding to each energy storage converter, a reactive power dispatching command is issued to each energy storage converter. This application can effectively reduce the interference of active power dispatching on the reactive power of the multi-winding transformer side and improve the operational stability of the energy storage system.

This invention discloses a power dispatching method, system, equipment, and medium based on daily planning and simulated operation, belonging to the field of power dispatching technology. The specific steps are as follows: First, acquire real-time and historical power grid data to establish a power demand dataset. Second, establish a power demand forecasting model, perform time series analysis on historical and real-time power grid data, and forecast future power demand. Third, establish a multi-objective optimization function, and use an improved genetic algorithm to solve the multi-objective optimization function to obtain the optimal power dispatching scheme. Fourth, input the optimal power dispatching scheme into the simulation model for verification, and then issue the verified optimal power dispatching scheme for execution. This invention, through the closed-loop fusion of data-driven prediction, multi-objective intelligent optimization, and high-fidelity simulated operation, transforms the traditional static dispatching mode relying on human experience into a dynamic optimization and proactive defense intelligent decision-making mode. This improves the automated generation capability of dispatching plans and the level of safety pre-control.

The application discloses a power scheduling method applied to a regional combined heat and power unit, and is based on a three-part framework of a combined heat and power system, a regional energy system and a heat and power separation system. After a relational expression of the three parts is established, the regional energy system heat load is introduced, the minimum power generation of the unit when the heat load demand is met is obtained, and the reasonable operation space of the total power generation of the combined heat and power unit is established based on the total cost of the combined heat and power unit being less than the total cost of the heat and power separation system. Through the analysis on the heat supply characteristics of the combined heat and power unit and the comparative analysis with the heat and power separation system, the best operation interval and the maximum benefit operation mode of the combined heat and power unit are obtained, so that the operation practice can be correctly guided.

The application provides a power scheduling method and system based on a vertical large language model, and belongs to the technical field of power system operation control. The scheduling method is applied to a corresponding scheduling system, and specifically comprises the following steps: constructing a simulation scene, dynamically adjusting the simulation scene according to historical operation data of a target scheduling area, and generating simulation data to construct a structured question and answer sample; extracting key word data corresponding to the adjusted simulation scene, matching corresponding related text according to the key word data to generate a text question and answer sample integrated with scene rules; dynamically setting the data proportion of the two types of samples according to the current scheduling scene demand to construct a training data set; training and learning the large language model based on the training data set to form a multi-task vertical large language model; and outputting a corresponding scheduling suggestion in response to the scheduling demand of the operation adjustment scene. The application improves the adaptability of the model to the power scheduling scene through dynamic sample construction and proportion setting, and improves the accuracy and reliability of the scheduling suggestion.

This application relates to the field of multimodal data-driven power dispatching technology, specifically to a power green supply chain dispatching optimization method based on multimodal data fusion. This method includes: acquiring repair work orders for each piece of equipment, all types of power data, and all types of meteorological environmental data during the power green supply chain dispatching process; using a multimodal difference coefficient to filter matching cycles as historical references, and weighted evaluation of equipment normality to filter faulty equipment; and using an ant colony algorithm, considering the total distance traveled by each power emergency repair vehicle during the power green supply chain dispatching process, total pollution emissions, and time urgency costs, to plan the optimal travel path for the power emergency repair vehicles. This application solves the problem of dispatching optimization difficulties caused by the lack of multimodal data, and improves the dispatching quality and overall efficiency of the green supply chain through fault identification and path planning.

This application provides a service area power dispatching system, relating to the field of new energy technology. The system includes a photovoltaic power generation module, an AC distribution network, an energy storage module, a residential power module, a vehicle charging module, a distribution cabinet, and a control module. The photovoltaic power generation module, energy storage module, vehicle charging module, and distribution cabinet are all connected to the control module, which controls their operation. The distribution cabinet, under the control of the control module, distributes electrical energy. By adding photovoltaic power generation modules and energy storage modules to the service area, the power supply can be increased while excess energy is stored through the energy storage module, thus improving energy utilization.

This invention discloses a user-side quantity and price bidding power dispatching method based on power flow section constraints, belonging to the field of power system operation and control technology. The method includes: obtaining the node section sensitivity matrix and the step-like quantity and price bidding curves of heterogeneous resources on the user side; using a high-dimensional topology manifold mapping algorithm to perform conformal aggregation of heterogeneous resources to obtain a standard bilateral resource dispatching model; using Clifford's algebra to construct a dispatching optimization model with the objective of maximizing total social welfare and including multiple vector-state power flow section constraints; solving the model to obtain the node marginal electricity price and preliminary dispatching plan, and implementing the dispatching. This invention addresses the spatial response topology distortion during the dimensionality reduction process of large-scale resource dispatching, and the difficulty in balancing clearing efficiency and global economic optimization under complex nonlinear security constraints of the power grid.

The application relates to a power dispatching method, device and equipment for a power distribution area, a storage medium and a program product. The method comprises the following steps: collecting electric signal data of the power distribution area, and performing data preprocessing to obtain a data feature set; a substation area topology graph is constructed according to the node relationship of the power distribution area; according to the data feature set, the substation area topology graph and a multi-node cooperation strategy, an initial fault section, a fault path edge coordinate and a node weight vector of the power distribution area are obtained; according to the initial fault section, the fault path edge coordinate and the node weight vector, a target fault section of the power distribution area is determined; according to the hardware constraint condition and the target fault section of the power distribution area, a fault area of the power distribution area is isolated and cut off, and power dispatching is performed on the power distribution area after isolation and cutting off. The method effectively reduces the number of power-off users and the power-off capacity, and provides key technical support for the rapid self-healing and power supply reliability improvement of the power distribution network.

This invention provides a distributed online optimization method and apparatus for balancing corrosion degradation in microgrid energy storage systems, relating to the field of distributed control technology for microgrids. The method includes: constructing a dynamic communication topology model of the microgrid battery energy storage system, using a time-varying directed graph to represent the dynamic communication process; constructing a distributed online energy dispatch optimization model considering the balanced lifetime of the battery energy storage system; transforming it into an instantaneous optimization form that can be iteratively calculated online; initializing relevant parameters and introducing coupling variables to nodes; exchanging dual and coupling variables of nodes based on dynamic communication and real-time information, and updating decision variables, dual variables, and coupling variables to obtain the power dispatch decision for the next time step. This invention can achieve a balance between the economic operating cost of the system and the lifetime of the battery energy storage system under complex conditions such as stochastic new energy access, time-varying and unstable communication network topology, and significant differences in the health status of distributed energy storage units.