432 results about "Hybrid system" patented technology

The present invention relates to the technical field of electricity markets. Disclosed are a method for coordinated transmission and distribution dispatching of power grids in an electricity market environment, and a system. The method comprises: collecting transmission and distribution data of power grids, and performing economic dispatch modeling for a hybrid system incorporating hydropower and thermal power; performing linear processing on nonlinear terms in a model; and using Benders decomposition to accelerate the solution of the model, and optimizing coordinated transmission and distribution dispatching of the power grids. In the method of the present invention, by means of performing economic dispatch modeling for the hybrid system incorporating hydropower and thermal power, the power system's ability to integrate renewable energy is enhanced, improving the resource utilization efficiency; by means of converting complex nonlinear terms in an original model into linear expressions, the model is easier to solve, providing rapid response capabilities for power grid dispatching; and by using a Benders decomposition method to accelerate the solution, a problem is decomposed into a master problem and a sub-problem, which are solved independently, thus improving the overall solving efficiency, scalability and flexibility.

The invention discloses a control method for a multi-modal information fusion intelligent robot with a body. The control method comprises the following steps: initializing a system, and collecting surrounding physical environment and object state information and a natural language instruction of a user; performing scene understanding and task analysis, processing data through a multi-modal information fusion mechanism and a cross-modal attention module, and generating unified multi-modal data; task planning and priority ranking are carried out, complex tasks are decomposed into subtask sequences, and a priority ranking layer dynamically adjusts the execution sequence; performing action execution and feedback adjustment, and generating a control instruction through a self-adaptive operation control algorithm; continuous learning and strategy verification are carried out, integrated execution is realized by using a hybrid AI system, and the robustness of an operation strategy is verified through a simulation environment; and closed-loop iteration is carried out to realize real-time response of the intelligent robot with the body. According to the method, the perception understanding precision and the task execution efficiency of the intelligent robot with the body are improved, the operation precision adaptability and the system robustness flexibility are guaranteed, and the method is suitable for multiple scenes.

Disclosed is a power grid transmission and distribution cooperative dispatching method and system in a power market environment, relating to the technical filed of power market. The method includes: power grid transmission and distribution data are collected, and economic dispatching modeling is carried out on a hybrid system containing hydro-thermal power; linearization processing is carried out on nonlinear terms in the model; and accelerated solving is carried out on the model by adopting Benders decomposition, so that power gird transmission and distribution cooperative dispatching is optimized. The integration capacity of the power system containing hydro-thermal power to the renewable energy is enhanced, and the utilization efficiency of resources is improved, and the solving process is simplified in the present invention.

The invention discloses a disilane mixed gas dissolving and mixing system and a control method, and relates to the technical field of gas mixing preparation, the disilane mixed gas dissolving and mixing system comprises seven modules, a storage module realizes accurate pressure control through a honeycomb gas storage tank matrix, and the tank wall adopts a nano composite structure for corrosion prevention; the premixing module forms a chaotic flow field by using a double-helix micro-channel and pulse injection; the reaction module is combined with supercritical and electromagnetic resonance to accelerate the reaction; the monitoring module fuses multispectral detection; the control system is based on deep reinforcement learning, in addition, a gradient condensation-membrane distillation separation module, a bionic safety interlocking module and other modules are further arranged, and all the modules cooperate to achieve efficient mixing and production. According to the device and the method, high-precision preparation of disilane mixed gas, precise pressure-controlled material storage, molecular-level efficient mixed reaction, multispectral precise monitoring, intelligent regulation and control, stability guarantee, high safety interlocking and intelligent maintenance are realized, faults can be reduced, the product quality and the production efficiency are improved, and the cost is reduced.

The invention discloses a power coupling-considered capacity ratio estimation method for a network-constructing / network-following multi-machine hybrid system, and the method comprises the steps: building a GFL-GFM hybrid system model, combining VSG power coupling small signal modeling and a dynamic relative gain matrix (DRGA), and quantifying the coupling strength of active / reactive power to output voltage; the frequency domain impedance characteristic of the GFM converter is simplified, and an ideal voltage source series equivalent reactance equivalent model is constructed; deriving an analytical relationship between a generalized short-circuit ratio (gSCR) and a capacity ratio based on the model, and generating a ratio formula in combination with engineering boundary sub-scenes to form a ratio range suitable for multiple scenes; for coupling time-varying characteristics, a closed-loop mechanism of'mixed mode-coupling sensing-correction calculation-execution feedback 'is constructed, and the ratio is dynamically adjusted. According to the method, coupling quantization and multi-machine coordination control are deeply fused, the problem that the external characteristic model precision and the multi-working-condition adaptability are difficult to consider under complex environment coupling is effectively solved, and the engineering applicability of the hybrid fan system is enhanced.

The invention discloses a stability evaluation and optimization method for a multi-infeed series-parallel new energy station based on equivalent external characteristics of a network construction type converter, and belongs to the technical field of electric power automation. Comprising the following steps: constructing a new energy multi-infeed hybrid system stability analysis closed-loop dynamic model, and simplifying a network construction type admittance transfer function; based on a stability analysis closed-loop dynamic model of the new energy multi-infeed series-parallel system, simplifying the new energy multi-infeed series-parallel system into an equivalent single-infeed system, and evaluating the stability of the equivalent single-infeed system through a generalized operation short-circuit ratio and a critical generalized operation short-circuit ratio; analyzing and quantifying the influence of key parameters of the network construction type equipment on the stability of the system through a parameter sensitivity analysis method; a node participation factor is used as an evaluation index, and control parameters are optimized based on a stability optimization method of key parameters of network construction type equipment of system weak nodes. The method provided by the invention has good effectiveness and reliability, and can realize gradual improvement and refined regulation and control of the system stability.

A system (100) for adaptive data blending across heterogeneous BI platforms for real-time decision making, comprising: (a) a data source abstraction module configured to establish standardised and secure connections with several different Business Intelligence (BI) platforms and convert their native data structures into a unified intermediate schema; (b) a real-time data ingestion and synchronisation module operable to continuously monitor and retrieve data updates from the BI platforms using event-driven mechanisms and configurable synchronisation policies; c) an adaptive data mapping and transformation module designed to intelligently harmonize, adapt, and semantically translate disparate data formats using rule-based logic and AI-assisted schema mapping; (d) a semantic context and metadata management module configured to maintain a unified data dictionary, track data sequence and maintain semantic consistency across platforms; (e) a cross-platform query orchestration engine designed to decompose common user queries, translate them into platform-specific query languages, execute them across the relevant BI platforms, and aggregate the results into a coherent output; (f) a decision intelligence and recommendation module that analyses the mixed data to generate real-time insights, alerts and contextual recommendations for decision support; and (g) a security, governance and compliance module configured to enforce access controls, maintain audit trails and ensure compliance with data protection regulations; h) the system provides seamless, real-time and secure data blending to enable consistent analytics and decision-making across heterogeneous BI environments.

The invention relates to a pumped storage and compressed air energy storage coupled scheduling method, which comprises the following steps of: establishing a multi-stage data system based on input data of multiple time scales; constructing a multi-time scale scheduling model; when the load of the pumped storage mixed compressed air energy storage power station is lower than a first preset threshold value, electricity is abandoned preferentially, water pumping and compression are conducted, and when the load is larger than a second preset threshold value, the pumped storage mixed compressed air energy storage power station is controlled to conduct combined energy release. The nonlinear relation between the pumped storage efficiency and the water level and the nonlinear relation between the compressed air energy storage power and the pressure are converted into linear constraints, solving is conducted by dividing the water level interval and the pressure level, and a scheduling strategy is obtained. Therefore, the problems of relatively low energy storage efficiency, insufficient scheduling refinement, relatively high system standby cost and the like caused by the problems that pumped storage water scheduling and CAES energy management are separated, a standby capacity coordination mechanism is lacked and the like in a hybrid system scheduling method in related technologies are solved.

The invention discloses a multi-turn memory optomagnetic encoder hybrid system, belongs to the technical field of position and angle measurement encoders, and aims at solving the problems that an existing optomagnetic hybrid encoder is complex in signal processing, long in axial length, insufficient in precision stability and prone to losing the number of turns and the position. The system comprises an optical encoder, a gallium arsenide magnetic signal acquisition sensor, a multi-antipode unequal magnetic ring, a processor, a hardware circuit, an ultra-low power consumption circuit, a signal acquisition module, a signal processing module and the like, integrates self-developed magnetic angle analysis, turn number memory correction and other algorithms, and adopts dual-redundancy design and intelligent signal mode switching. The method simplifies the signal processing flow, shortens the axial length, improves the measurement precision and stability, enhances the environmental adaptability and fault-tolerant capability, prolongs the endurance, and is suitable for the position angle measurement in a high-precision and severe environment.

A neural-symbolic hybrid system for generating binary document formats directly from natural language input comprises a binary-aware hierarchical tokenizer operating across four levels (binary bytes, structural elements, semantic content, and concepts), a constraint satisfaction engine with 64 parallel processing cores for enforcing structural integrity and mathematical consistency, format-specific processors for Excel, PowerPoint, PDF, and CAD documents, and a formal verification system generating mathematical proofs of correctness. The system includes custom AI Document Generation Processor (AIDGP) silicon spanning 600 mm2 with specialized cores providing 500 TOPS processing power. Performance characteristics include 99.7% structural accuracy, 100% format compliance, 15.3 second average generation time for complex documents, and distributed capacity of 1,000,000 documents per hour. The system eliminates intermediate conversion steps while maintaining semantic preservation through hardware-accelerated constraint satisfaction and formal verification engines ensuring structural integrity, format compliance, and security through AES-256 encryption and automated regulatory compliance across 25+ international standards.

The invention discloses a vehicle control method and device based on man-machine trust, a medium and a program product, and relates to the technical field of intelligent driving, and the method comprises the steps: determining a man-machine trust value according to the obtained real-time overtaking data of a current vehicle; determining a human control weight of the current vehicle according to the man-machine trust value; and based on the obtained human control instruction, the machine control instruction and the human control weight, the current vehicle is controlled to run. According to the method, the human control weight of the automatic driving system of the current vehicle is dynamically adjusted according to the real-time overtaking performance, the defect that a driver suddenly takes over the vehicle with full right is avoided, and therefore the risk of traffic accidents when the vehicle is controlled through a man-machine hybrid system is reduced.

The present disclosure provides a semi-physical simulation verification method for a control strategy of a distributed hybrid power system, including the following steps: designing a rapid prototyping controller; completing a connection between a semi-physical simulation test platform and an upper computer; building a distributed hybrid power system simulation model using MATLAB / Simulink; and forming a code in Simulink and generating a MATLAB Function module, setting a signal output module for a control signal output under a control strategy, and establishing a corresponding relationship between the signal output module and an output signal interface of the rapid prototyping controller. According to the present disclosure, the test cost generated during verifying the feasibility of the control strategy of the distributed hybrid system is effectively reduced.

The invention relates to the technical field of new energy grid-connected control, in particular to a fault stage transient stability analysis method and system for a following-constructed network type converter series-parallel system, and the method comprises the steps: enabling a constructed network type converter to be equivalent to a controlled voltage source series impedance, enabling a following network type converter to be equivalent to a controlled current source, and enabling the controlled current source to be equivalent to a controlled voltage source series impedance; the whole series-parallel system is equivalent to a scene in which double voltage sources and a single current source are jointly connected in parallel to a PCC point, and a series-parallel system model is constructed; according to the series-parallel system model, respectively representing an active power coupling term of the network-building type converter and a voltage coupling term of the network-following type converter under the condition of considering parallel connection of the network-following type converter and the network-building type converter; according to the coupling term, remodeling an active loop control structure of the network-constructing converter and a phase-locked loop synchronization structure of the network-following converter, and obtaining a transient analysis model of the series-parallel system considering the coupling term; the transient stability of the hybrid system in the power grid fault stage is analyzed through the transient analysis model, and the influence on the transient stability is effectively represented.

The invention discloses a rehabilitation training anti-loosening method and device based on AAN challenge degree adjustment. The method comprises the steps that the challenge degree is determined according to the main power of a person and the driving force of a front man-machine hybrid system; a virtual force field is constructed, so that the virtual auxiliary force is stably controlled within a certain range, and the virtual auxiliary force is determined; determining the non-model robust auxiliary force of the robot through a time delay estimation method; determining a current man-machine hybrid system driven force according to the human active force, the challenge degree, the virtual auxiliary force and the robot non-model robust auxiliary force; and based on the kinetic model of the rope-driven rehabilitation robot, determining the action of the rehabilitation robot according to the current driving force applied to the man-machine hybrid system. Machine assistance is reasonably provided according to the motion control ability of the patient, training looseness is prevented, active participation is encouraged, and the rehabilitation training effect is improved.

The invention discloses a rural power distribution network-oriented network tracking / constructing type source storage stability evaluation and planning method, and relates to the technical field of rural power distribution networks, and the method comprises the steps: constructing an inverter control model, and building a quantitative relation between an inverter capacity ratio and a system short-circuit ratio; according to the control model, an inverter hybrid system is established, and stability weak nodes are identified through characteristic value analysis of a system state matrix; and on the basis of the quantitative relationship and the stability weak nodes, calculating the energy storage capacity of the network to be constructed, and performing iterative configuration according to a preset priority until the stability requirement of the system is met. According to the method, accurate identification of the stability weak nodes and accurate configuration of the constructed energy storage are combined, accurate processing of the risk of the stability weak nodes of the rural power distribution network is realized, the disturbance resistance and the new energy consumption level of the rural power distribution network are improved, and stable, safe and efficient operation of the rural power distribution network is realized.

The invention discloses a sheet metal thickness measurement method based on a hybrid system zero group velocity Lamb wave technology, and belongs to the field of nondestructive testing and evaluation.The method comprises the following steps that a hybrid detection system is built, and an out-of-plane displacement vibration signal of a sheet metal is obtained based on the hybrid detection system; converting the out-of-plane displacement vibration signal into a frequency domain signal through fast Fourier transform, and extracting a resonant frequency corresponding to a formant of a zero group velocity Lamb wave mode in the frequency domain signal; calculating a frequency-thickness product based on material parameters of the metal plate; and based on the frequency thickness product, the resonant frequency and a pre-established frequency thickness product-thickness function relationship, performing inversion to obtain a thickness value of the metal plate.

An optimal route can be determined for delivering an item through a logistics system where vehicles have multiple stops when traveling along routes. The optimal route is determined using a hybrid system employing a classical computing device and a quantum annealer. The classical device reduces the search space that allows the quantum annealer to determine a more optimal solution. In an aspect, a routing graph comprising nodes and edges is populated from routes of vehicles, where the nodes identify locations and the edges represent routing data. At least a portion of the nodes and edges is removed to form a refined routing graph. For an origin-destination input, the refined routing graph can be filtered according to a first set of routing constraints to form a reduced route search space. A quantum annealer is invoked according to an objective and a different second set of routing constraints.

The invention discloses a series-parallel system transient stability analysis and fault ride-through control method considering current limiting, and belongs to the field of power fault analysis. In order to reveal an action mechanism of a current amplitude limiting and converter coupling effect on the transient synchronization stability of the hybrid system, the method comprises the following steps: firstly, considering the influence of control mode switching of a constructed network type converter, and establishing a transient analysis model of the hybrid system considering a current amplitude limiting link; then, based on a phase plane method, analyzing an action rule of converter control parameters on system transient stability, determining an optimal active power reference value and a saturation current phase angle of the grid-forming converter during a fault period, and proposing a fault ride-through control strategy according to the optimal active power reference value and the saturation current phase angle; and finally, verifying the correctness of theoretical analysis and the effectiveness of the proposed control strategy through multi-working-condition simulation.

The invention discloses a frequency control method and terminal for a network following and constructing type converter hybrid system. The method comprises the following steps: acquiring a first control parameter of a network following type converter during frequency response and a second control parameter of a network constructing type converter during frequency response; according to the first control parameter and the second control parameter, an objective function with the purpose of minimizing the frequency change rate of the follow-up network type converter hybrid system is constructed, and the optimal solutions of the first control parameter and the second control parameter are obtained by solving the objective function; and according to the optimal solution of the first control parameter and the second control parameter, frequency control is carried out on the following construction network type converter series-parallel system. In this way, the control parameters can be adjusted in a self-adaptive mode along with the working condition of the follow-up network type converter series-parallel system, the problem of frequency oscillation caused by complex interaction under the follow-up network type converter series-parallel system is solved, and stable and reliable operation of an electric power system is guaranteed.

The invention relates to the technical field of fracturing truck control systems, and discloses fracturing equipment which comprises a truck body, a high-pressure pump set, a mixing system, a fracturing control system and a propping agent conveying system are installed on the truck body, and the high-pressure pump set comprises a pump body, power equipment and a fluid end; the mixing system comprises a stirring tank, a conveying pump and a mixing control device; the fracturing control system comprises a controller, a display screen and a plurality of sensors. The fracturing control system is used for monitoring the pressure, flow and temperature of fracturing fluid in the fracturing process in real time. The proppant conveying system comprises a storage container, metering equipment and a conveying pipeline, the storage container is used for storing different types of proppants, and the metering equipment is used for accurately measuring and controlling the amount of the proppants added each time. And two ends of the conveying pipeline are respectively connected with the storage container and the mixing system. The fracturing truck disclosed by the invention has the advantages that the uniformity and the accuracy of component mixing in a fracturing fluid preparation process are improved, and the effect of fracturing operation is favorably improved.

The invention provides a diesel-storage hybrid power anti-overload system and device based on a network-forming inverter, and a medium. A pre-synchronization module realizes seamless switching between a VSG mode and a PQ mode based on dynamic voltage amplitude matching, phase-locked loop frequency synchronization and phase real-time alignment technologies; the hardware current limiting module adopts high-speed current monitoring and hardware-level protection logic to cut off an overcurrent pulse in real time and prevent a power device from failing due to transient impact; the power suppression module optimizes the power distribution of the diesel generator and the energy storage by judging an overload threshold value and a steady state recovery condition in real time; the logic judgment module coordinates the diesel generator dynamic frequency modulation and energy storage mode switching, the diesel generator preferentially bears the transient power difference when the load suddenly changes, and the energy storage mode is seamlessly switched to the network construction mode after the system recovers the steady state; according to the system, through software and hardware full-link collaborative design, the problems of transient overload and mode switching instability of the diesel storage system are solved, and the stability and energy efficiency of the diesel storage hybrid power system are improved.

A method and system for optimizing power management for a hybrid system of a machine are provided. The method includes generating a plant model based on a machine recipe of the machine; generating, in an algorithm library, algorithms for a plurality of scenarios simulated based on selected key performance indicators (KPIs) associated with the machine recipe, optimization connections, and machine requirements of the machine; selecting an algorithm from the algorithm library based on computational capabilities of a controller associated with the machine and machine requirements for the algorithm; simplifying the algorithm based on removing one or more KPIs of the selected KPIs; refining the algorithm based on weighing one or more remaining KPIs of the selected KPIs; and integrating the algorithm into machine operation to be performed by a control module of the machine.

The invention provides a fuel cell energy management method and device based on fuzzy control, and the method comprises the steps: carrying out the fuzzy processing of a current data value corresponding to an impact factor, and determining a target fuzzy set discourse domain corresponding to the current data value of the impact factor, and the membership degree of the target fuzzy set discourse domain in the target fuzzy set discourse domain; performing fuzzy reasoning in combination with a target fuzzy set discourse domain corresponding to the influence factor and a preset fuzzy rule table, and determining a fuzzy set discourse domain to which the output power of the fuel cell belongs; and according to the fuzzy set discourse domain to which the output power of the fuel cell belongs and the membership degree of the influence factor on the target fuzzy set discourse domain to which the influence factor belongs, performing sharpening processing on the output power of the fuel cell by using a preset defuzzification method, and determining a predicted value of the output power of the fuel cell. Fuel cell power output management is achieved through the fuzzy control theory, the energy utilization efficiency of the fuel cell hybrid power system is improved, and the driving experience of a driver is improved.

The invention provides a stability analysis method and system for a tracking and networking inverter hybrid system and a medium, and the method comprises the steps: selecting the active power of a tracking inverter and the reactive power of a networking inverter as core variables through working condition variable dimensionality reduction; determining a working condition range in combination with capacity constraint, performing discretization processing, and calculating dq components of voltage and current of an inverter port based on a discrete working condition; discrete impedance models of the two types of inverters are respectively constructed; the influence of a phase-locked loop controller, a current loop controller and a power loop controller is considered in a following network type, and the effect of a virtual synchronous controller, a current loop controller and a voltage loop controller is included in a construction network type; and calculating a closed-loop transfer admittance matrix of the power grid through the discretized impedance of the inverter to realize stability analysis of the hybrid system. According to the method, the modeling complexity is effectively reduced, the stable working areas of the system under different working conditions can be quantified, and an accurate reference basis is provided for stable operation of the hybrid inverter system.

The invention relates to a primary frequency modulation control method for a pumped storage coupled compressed air energy storage system, and the method comprises the steps: building a frequency modulation control model based on the core component information and operation constraints of the pumped storage coupled compressed air energy storage frequency modulation system, building a state space model, and building a discretization state equation, establishing a comprehensive optimization model by taking the minimum power grid frequency deviation and the system operation cost as targets; and establishing a multi-parameter planning model based on the reservoir level, the gas storage pressure, the frequency deviation and the comprehensive optimization model, and converting a hierarchical model prediction control problem into multi-parameter quadratic programming to form a self-healing frequency modulation strategy to perform power output tracking control. Therefore, the problem that the frequency modulation performance is limited due to the fact that a water pressure system and an air pressure system in the hybrid power station are complex in coupling and large in response difference, and a related linear control strategy or a single control framework is difficult to achieve rapid response and accurate coordination of the hybrid system in the primary frequency modulation process is solved.

The invention provides a multi-modal data fusion diagnosis assistance method and device, a storage medium and equipment, and the method comprises the steps: obtaining multi-modal data sent by a data collection module, the multi-modal data comprising at least two of 2D fundus color photo data, 3D OCT body data, OCTA blood flow parameters and wide-area fundus spliced image parameters; inputting the multi-modal data into a trained layered feature extraction module to obtain a multi-modal data feature vector; inputting the multi-modal data feature vector into a trained feature compensation-fusion module to obtain a complete multi-modal data fusion feature; and inputting the complete multi-modal data fusion features into a trained dynamic expert hybrid system to obtain structured diagnosis and treatment data and a text diagnosis auxiliary report, and sending the structured diagnosis and treatment data and the text diagnosis auxiliary report to a data display module.

The invention provides a torsional vibration self-adaptive control method in a motor driving process of a planetary multi-gear hybrid power system, which realizes vehicle torsional vibration suppression and gives consideration to multi-working-condition adaptability, anti-interference capability and algorithm complexity requirements, and comprises the following steps of: constructing a torque reconstruction and feedback control algorithm; the initial torque demand of the motor is corrected into a gently changing torque, the torque is split into sub-torques with a specific phase difference, the sub-torques are superposed to obtain a reconstructed torque, the reconstructed torque is combined with a feedback torque, and a self-adaptive adjustment torque is output; setting a multi-working-condition torque demand, performing off-line optimization on control parameters, obtaining a constructed working condition control parameter library, performing identification and weighted calculation on a seating point of an initial motor torque demand, and outputting an optimized control parameter to a torque reconstruction and feedback control algorithm; and performing algorithm interference adaptive compensation, obtaining an interference estimated value according to the rotating speed of the output shaft and the nominal inverse model, calculating an interference compensation value through a filter, adding the interference compensation value with the adaptive adjustment torque to obtain a total target torque of the motor, and outputting the total target torque to a controlled vehicle.

The invention discloses an LCC-HVDC operation range optimization method and system considering transient overvoltage constraint, and belongs to the field of power system automation. The method comprises the following steps: calculating the capacity of a matched capacitor based on the power system topology and the LCC-HVDC transmission power; carrying out load flow calculation in combination with a capacitor scheme, initializing equipment parameters, establishing a quasi-steady-state model of each equipment, and solving a quasi-steady state at the moment of maximum reactive power consumption during commutation failure; based on the model and the result, solving the quasi-steady state at the initial moment of the commutation failure recovery stage; and calculating the node voltage of the rectifier station, optimizing the LCC-HVDC power and equipment parameters along the gradient if the node voltage exceeds the limit, and iterating until the transient voltage safety is met, otherwise, determining that the current scheme is an operation scheme. The system comprises a corresponding function module and a data storage module. The method can be applied to an actual hybrid system, the transient overvoltage is accurately evaluated, the LCC-HVDC safety power range is determined, the power grid safety is guaranteed, and the new energy consumption efficiency is improved.

The invention provides a long-term scheduling optimization method of a water-wind-light complementary system based on a depth deterministic strategy gradient algorithm. The method comprises the following steps: firstly, constructing a long-term scheduling optimization model of the water-wind-light complementary system with a year as a period; a plurality of different scenes are considered, and the scheduling process is converted into a Markov decision process; and finally, solving the uncertainty problem through a depth deterministic strategy gradient algorithm (DDPG) to obtain a water-wind-light power generation strategy. According to the method, power generation constraints are introduced into a reward function; the water-wind-solar complementary long-term scheduling model takes annual total reward maximization as a target; the model generates a water-wind-light combined scene through a VineCopula method, the uncertainty of the scene is described by using a noise adding method, and the OU noise is used for exploration and utilization; and in combination with a strategy-Q value network constructed by a DDPG algorithm, learning an optimal water-wind-light scheduling strategy in a continuous action space. And the clean energy consumption capability of the power grid in an uncertain environment can be obviously improved.

The embodiment of the invention relates to the technical field of power systems and automation thereof, in particular to an alternating current and direct current hybrid power flow optimization method based on embedded direct current power flexible adjustment, and the method comprises the steps: building an embedded direct current adjustment model based on an embedded direct current power adjustment principle; constructing an AC / DC hybrid system steady-state power flow optimization model comprising a comprehensive evaluation index, a power system operation constraint and a DC operation constraint; an improved particle swarm algorithm is adopted to solve the steady-state power flow optimization model, the improved particle swarm algorithm updates a population through a chaos quasi-opposition strategy and optimizes an inertia weight and a learning factor, and a power flow optimization result is obtained; comparing different embedded direct-current power regulation modes, and verifying the effectiveness of the alternating-current and direct-current hybrid power flow optimization method; according to the method, accurate power flow optimization of the alternating-current and direct-current hybrid system in a new energy output fluctuation and load change scene is realized, and the economical efficiency, the safety and the stability of system operation are improved.