141results about How to "Achieve coordination" patented technology

The invention discloses a central air conditioner energy-saving optimization system based on load prediction, and relates to the technical field of air conditioner energy saving.According to the central air conditioner energy-saving optimization system based on load prediction, a VMDTransformerGRU hybrid deep learning model is introduced, through multi-source data fusion, the precision of cold load prediction is remarkably improved, and the prediction model can recognize the load change trend in advance. According to the improvement, the dynamic response capacity of the system is effectively enhanced, pre-regulation and control can be carried out before load changes, energy waste is reduced, a water chilling unit, a cooling tower and a pump are modeled to be independent intelligent agents, multi-agent deep reinforcement learning (MADRL) is adopted, and all the intelligent agents can autonomously learn and optimize control strategies of the intelligent agents. The intelligent agents cooperate with one another, efficient operation of the whole system is achieved through autonomous decision, and operation conflicts between devices are avoided. In this way, dynamic coordination and joint optimization among all the devices are achieved, invalid energy consumption is reduced, and the overall energy-saving effect and operation stability of the system are remarkably improved.

The invention discloses a rock tunnel intelligent supporting system and method adaptive to geological conditions, and relates to the technical field of tunnel construction automation and intellectualization. The system comprises an intelligent advanced geological forecast module, an intelligent surrounding rock quality evaluation system, a self-adaptive support design optimization module, an intelligent construction equipment monitoring system, an environment monitoring module, a safety early warning system, a construction data analysis and decision support system, a material supply chain management module, a personnel positioning and management system and an integrated control system. Through real-time monitoring and analysis of the intelligent advanced geological forecast module and the safety early warning system, potential geological risks and safety threats in the tunnel construction process can be found in time. And through an adaptive support design optimization algorithm, support parameters and a construction scheme can be dynamically adjusted according to real-time geological data and a surrounding rock quality evaluation result. The integrated control system serves as the core of the whole intelligent supporting system, and unified management and coordination of all the sub-modules are achieved.

The invention relates to the technical field of dynamic migration, in particular to an edge computing management system supporting dynamic migration of an AI model. The system comprises a state mining module used for identifying available edge computing devices; performing multi-frequency information monitoring on the available edge computing devices, and performing device comprehensive state mining to generate edge device comprehensive state features; the edge topology module is used for carrying out node position positioning one by one based on edge equipment comprehensive state characteristics and carrying out instant state mapping modeling so as to construct an edge computing node topology model; the task flow trend module is used for acquiring an AI model task running log; and performing task queue analysis on the AI model task running log, and then performing model task traffic trend analysis to obtain AI model task traffic trend data. According to the invention, edge computing management with quick response and high processing efficiency is realized.

The invention relates to the technical field of unmanned aerial vehicle control, and provides a cluster unmanned aerial vehicle control method based on a cloud side-end architecture, which comprises the following steps of: determining a general task framework, a global edge node and a local edge node through a cloud platform, and dividing an operation area into a plurality of sub-areas; a general task framework is divided into sub-task modules corresponding to sub-regions through global edge nodes, and the sub-task modules are refined through local edge nodes to obtain a to-be-executed instruction, so that hierarchical cooperative control of a terminal unmanned aerial vehicle is realized, a single-point bottleneck of centralized control is broken through, and centralized processing of data is avoided; edge computing nodes are dynamically adjusted to prevent node abnormity from influencing task proceeding, then terminal unmanned aerial vehicles in a sub-region range are dynamically and locally scheduled to ensure coordination of task completion, and a terminal unmanned aerial vehicle cluster is dynamically and globally scheduled to realize macroscopic resource allocation of the terminal unmanned aerial vehicles; the terminal unmanned aerial vehicle collects and uploads task execution data, and a reliable data basis is provided for scheduling of the terminal unmanned aerial vehicle.

The invention provides a multi-gun-head charging pile power distribution method, medium and system, and belongs to the technical field of charging piles, and the method comprises the steps: firstly obtaining the historical operation data of a charging pile, and building a mathematical model containing a plurality of error terms, such as equations of charging power, time, battery capacity and the like; then, a hybrid model is constructed, and the hybrid model comprises a multi-branch neural network and a mathematical model so as to adapt to charging piles of different scales; and training by adopting historical data to obtain a power distribution model. In the actual charging process, real-time data are input, power distribution is adjusted, and feedback data are collected at the same time. And on the basis of real-time data and prediction errors, a lightweight Lora model is utilized to perform continuous fine adjustment on the fusion sub-network, and the main model is updated regularly. Through a mathematical modeling and machine learning modeling fusion mode, the technical problem that existing multi-gun-head charging pile power distribution is mainly carried out through a simple preset or fixed mode, and complex charging scenes and requirements cannot be well adapted is solved.

The invention relates to a traffic signal control method based on multi-agent deep reinforcement learning. The method comprises the following steps: setting an intelligent agent for an intersection, deploying a fitting network at a cloud end or a server, and performing prediction according to a traffic road network structure and historical traffic flow data to obtain a traffic flow prediction result Y; training each intelligent agent and a fitting network by using the traffic flow prediction result and randomly acquired real-time traffic information of each intersection to obtain each optimized intelligent agent and an optimized fitting network; each optimized intelligent agent performs independent observation according to a traffic flow prediction result Y and respective current real-time traffic information, transmits the result to the optimized fitting network, calculates a global reward and feeds back the global reward to each intelligent agent, and each intelligent agent executes the next action according to the respective current observation result and reward. And forming a current optimal traffic signal control strategy of the target area. According to the invention, the traffic signal coordination control of multiple intersections is realized, and the travel efficiency is obviously improved.

The invention relates to a mechanical arm dynamic obstacle avoidance method based on intelligent task supervision. The mechanical arm dynamic obstacle avoidance method comprises the following steps that S1, a position information set is collected; s2, basic behaviors and composite behaviors are constructed for null-space behavior control based on the state of the mechanical arm and the requirement of trajectory planning, and behavior priorities are set as action information; s3, a control obstacle function is set based on the safety distance requirement of the mechanical arm; s4, constructing a deep reinforcement learning training model; and S5, the position information set and the action information are input into a deep reinforcement learning training model, a corresponding reward is obtained according to a set reward function, and if the distance, obtained according to the information, between the tail end of the mechanical arm and the obstacle is smaller than the minimum safety distance, input of the mechanical arm is taken over by a control obstacle function. The flexibility and adaptability of the mechanical arm in the dynamic obstacle environment are effectively improved, and collision accidents are avoided.

The invention provides a control method of a heat recovery system. The control method of the heat recovery system comprises the steps that demand information is obtained; when the heating requirement and the water heating requirement are met at the same time, the current indoor temperature Tn and the set indoor temperature Ts are obtained; calculating a room temperature difference value between the indoor temperature Tn and the set room temperature Ts; selecting a system operation mode according to the room temperature difference value; wherein the system operation modes comprise an independent heating mode, a main heating and auxiliary water heating mode, a main water heating and auxiliary heating mode and an independent water heating mode. According to the control method of the heat recovery system, the operation efficiency of the heat recovery system can be improved, and the energy utilization rate is increased.

The invention relates to a soybean milk machine and belongs to the field of soybean milk machine devices. A soybean milk machine comprises a shell assembly, a soybean milk machine body and a soybean milk machine body, the air duct assembly is arranged on the shell assembly and located in the mounting cavity; the heating pot assembly is arranged on the shell assembly and / or the air duct assembly, and the heating pot assembly is provided with a containing cavity; the motor assembly is arranged on the air duct assembly, and part of the motor assembly extends into the containing cavity; and the stirring knife assembly is arranged on the motor assembly. Through the design of the shell assembly, the sealing performance of the soybean milk machine is improved, and when a user cleans the soybean milk machine, water is prevented from invading the interior of the mounting cavity from the shell assembly. The air duct assembly, the heating pot assembly, the motor assembly and the stirring knife assembly are in close fit, all the assemblies are integrally assembled and then assembled with the shell assembly, and the production and assembly process is simplified.

The invention provides a multi-core processor event monitoring method and device, equipment, a storage medium and a product. Performance data collected by a PMU of each core are synchronously received through a PMU unified management interface; wherein the performance data comprises an event count and an event type corresponding to each performance event to be monitored; according to the event type of each to-be-monitored performance event, summarizing and analyzing performance data collected by the PMU of each core, and calculating the sum of event counts of each event type in different cores and the minimum event count value and the maximum event count value corresponding to each event type; and performing performance evaluation and system optimization on the multi-core processor system according to the sum of the event counts of each event type in different cores and the event count minimum value and the event count maximum value corresponding to each event type. According to the scheme, the accuracy and efficiency of performance analysis and optimization of the multi-core processor system are improved.

The invention provides an ocean engineering material high-flux corrosion test method and test system, the test system comprises a loading system and an environment system, the test method comprises the following steps: step S1: clamping a sample: step S2: selecting a test environment type; s3, setting target parameters; s4, parameters of the liquid medium and / or the gas medium are adjusted to meet requirements; s5, a liquid medium and / or a gas medium are / is input into the environment box, and adjustment is conducted according to current parameters of the liquid medium and / or the gas medium; after any one of the steps S1 to S5, the method comprises a step S6 of starting a loading system to apply a load to the sample. Through the arrangement of the high-flux corrosion test method, the corrosion environment of a global typical sea area can be simulated, meanwhile, constant stress loads, slow strain loads and alternating cyclic loads can be independently loaded on batched samples, automatic monitoring of the whole test process can be achieved, comprehensive coordination of factors such as different environments and loads is achieved, and the test efficiency is improved. And the corrosion fatigue test efficiency is improved.

The invention relates to a cascade reservoir group water storage scheduling method under an extra-low water condition, which comprises the following steps of: judging whether a cascade reservoir group has a risk of insufficient storage according to incoming water prediction, a minimum water level constraint, a minimum output flow constraint and a water storage target of each reservoir at the end of a water storage period, and if so, starting the cascade reservoir group water storage scheduling under the extra-low water condition; taking the minimum weighted sum of the difference between the highest water level of the cascade reservoir group in the scheduling period and the water storage target as a first scheduling target, taking the maximum sum of the generating capacity and the energy storage value of the cascade reservoir group as a second scheduling target, and establishing a cascade reservoir group water storage scheduling model without setting the end water level of the scheduling period; and solving to obtain a scheduling scheme with the maximum water storage satisfaction degree of the cascade reservoir group. The method can be used for coordinating the water storage processes of all the reservoirs under the ultra-low water condition, the cascade reservoirs can complete the water storage task to the maximum extent, and the overall cascade power generation benefits are considered.

The invention provides a heat recovery system and a control method thereof. The control method of the heat recovery system comprises the steps that demand information is obtained; when the refrigeration requirement and the water heating requirement are met at the same time, the current water temperature Tw of the water heater and the set water temperature T1 are obtained; the water temperature difference value between the water temperature Tw of the water heater and the set water temperature T1 is calculated; and according to the water temperature difference value, a main refrigeration and auxiliary water heating mode or a main water heating and auxiliary refrigeration mode is selected to operate. According to the control method of the heat recovery system, the operation efficiency of the heat recovery system can be improved, and the energy utilization rate is increased.

The present invention discloses a high-performance automotive rubber sealing ring preparation process and preparation system, including the following steps: raw material preparation: according to the use environment and performance requirements of the sealing ring, weigh various suitable raw materials; raw material mixing: different materials are mixed through an internal mixer to ensure that the materials are evenly mixed; molding: the mixed raw materials are pressed and molded through a hot pressing molding device. The high-performance automotive rubber sealing ring preparation process and preparation system provided by the present invention places a strip sealing ring on a lower molding die, and performs hot pressing treatment by moving the lower molding die upward and closing the mold with the upper molding die. After the treatment is completed, when the lower molding die moves downward, the sealing ring edge material on the lower molding die is cut and separated by the cutting component, and then the cutting component passively drives the ejection component to move upward to remove the sealing ring from the lower molding die, so as to achieve the coordination of cutting and ejection, and then the sealing ring and the edge material are passively removed by moving the cutting component.

The invention discloses an anti-misoperation protection system and method for a control element in a power grid and electronic equipment. The system comprises a plurality of anti-misoperation interlocking devices which are arranged in one-to-one correspondence with a plurality of control elements needing interlocking control in a power grid, and the anti-misoperation interlocking devices are used for collecting current state information of the corresponding control elements and transmitting the current state information to a centralized control device, based on a target control instruction transmitted by the centralized control equipment, anti-error interlocking protection is carried out on the control element; and the centralized control equipment is used for performing interlocking judgment on the received current state information, generating a target control instruction and transmitting the target control instruction to the corresponding anti-misoperation interlocking equipment. According to the invention, the technical problems of low automation degree and low efficiency of anti-error protection of the control element in the power grid in the prior art are solved.

The invention relates to the technical field of power distribution network voltage optimization control, in particular to a multi-benefit subject-containing power distribution network interactive game voltage optimization control method and system, and the method comprises the steps: building a voltage optimization control model and a photovoltaic benefit subject voltage optimization control model according to different benefit subjects, and carrying out the voltage optimization control according to a multi-benefit subject voltage adjustment process; interaction and coordination among multiple interest subjects are realized, and a power distribution network interaction game voltage optimization control method is formulated; a voltage control model in each benefit subject of the power distribution network is constructed based on multi-benefit subject division, in the optimization stage, through parallel independent optimization of voltage control in each benefit subject, the optimization calculation time can be greatly shortened, the calculation performance of the proposed algorithm is improved, a multi-benefit subject interactive game model based on a non-cooperative game is constructed, and the calculation efficiency is improved. The competitive game relationship of the multi-benefit subject in the voltage control process is described, and the coordination of multiple voltage regulation devices in the power distribution network is realized.

The invention discloses a preparation method of a radiation cooling friction nanometer power generation coating, and relates to the technical field of energy conservation and heat management of intelligent residences. The method comprises the following steps: weighing required amounts of titanium oxide (A) powder and titanium oxide (A1) powder, uniformly mixing the two kinds of powder through a magnetic stirrer or an ultrasonic oscillator, mixing the PDMS base material and the curing agent according to the required amount, and gradually adding the mixed titanium oxide (A2) nano powder into the PDMS (B) mixed solution; by adopting a novel material, the raindrop energy collecting efficiency and applicability are improved, and a foundation is laid for practicability of the device. Meanwhile, the problem that a traditional water drop friction nanometer generator can only play a role in energy conservation and emission reduction in cloudy and rainy days is solved, efficient heat management is achieved in non-rainy days, the environment temperature is reduced, the comfort degree of the living environment is improved, and a new thought and material technology are provided for design and development of an annual high-adaptability raindrop energy collection system.

The invention discloses a rural comprehensive energy network planning method and terminal for rural energy transformation, and the method comprises the steps: building mathematical models of energy supply equipment, energy conversion equipment and energy storage equipment based on a typical structure of a rural comprehensive energy network; in addition, a regulation and control load model considering agricultural production is constructed, a rural comprehensive energy network planning multi-objective function including dimensions of system economic benefits, environmental benefits, energy efficiency and the like is established, and constraint conditions of an energy network planning optimization model are set, so that the rural comprehensive energy network planning optimization model is formed. And carrying out iteration on the capacity of each type of equipment, obtaining the optimal capacity when iteration convergence is carried out, and substituting the optimal capacity into the rural comprehensive energy network planning optimization model to generate a planning scheme. And compared with isolated planning of a power grid and a heat supply network, organic coordination and multi-energy complementation among different energy sources are realized, and the utilization efficiency of rural energy sources is improved.

The control method comprises the steps that the rotating speed of a high-temperature-stage inverter compressor is mainly comprehensively determined by the high-temperature-stage exhaust temperature, the high-temperature-stage condenser temperature, the high-temperature-side outlet temperature of an intermediate heat exchanger and the high-temperature-stage return air temperature; through dynamic adjustment of the first fuzzy PID controller, the working condition and energy efficiency of the high-pressure side of the system are optimized; the rotating speed of the low-temperature-stage frequency conversion compressor is mainly comprehensively determined by the temperature in the box, the real-time rotating speed of the high-temperature-stage compressor, the low-temperature-stage exhaust temperature, the temperature of the intermediate heat exchanger and the low-temperature-stage return air temperature, and the rotating speed is dynamically adjusted through the second fuzzy PID controller so as to ensure that the temperature in the box is accurate and stable and is matched with the high-temperature-stage capacity in real time. Through cooperative control of the parameter groups, the problems of low efficiency and unstable operation caused by mismatching of two-stage capabilities of the cascade system are solved, and efficient, stable and reliable operation of the system under all working conditions is realized.

The invention provides a multi-agent cluster formation control method and device based on pilot following, and relates to the technical field of cluster control, and the method comprises the steps: obtaining first position information and first speed information sent by a plurality of agents in a multi-agent cluster; acquiring self real-time second position information and second speed information; determining an adjacent agent according to the first position information and the second position information, wherein the distance between the adjacent agent and the target agent is smaller than a preset communication distance; determining a formation role of the target agent in the multi-agent cluster, wherein the formation role comprises a navigator role and a follower role; and calculating a motion track according to the formation role and based on the first position information, the first speed information, the second position information and the second speed information. According to the invention, a cluster formation control problem caused by a communication distance can be solved.

The application provides a kind of visual construction management method and system, belong to construction management field.Therein, the method includes: the standardization processing of the multi-source laminated data in construction display area is carried out, and the standardization data structure is constructed;The laminated feature vector of standardization data structure is extracted;According to laminated feature vector, the conflict field calculation of any two laminated in construction display area is carried out, and the laminated conflict intensity distribution diagram is generated;The conflict field feature of laminated conflict intensity distribution diagram is extracted, and the conflict clustering output multiclass conflict level area is carried out;The differential fusion strategy analysis of multiclass conflict level area is carried out, and the multiclass visual fusion expression is obtained, according to multiclass visual fusion expression, visual output management is carried out in construction display area.The application carries out laminated conflict quantitative analysis and differential adaptive fusion, so that multi-source laminated data is clearly and accurately expressed in the same construction display area, and information conflict and expression distortion are eliminated.

The invention discloses a scheduling optimization method and system for an integrated energy system, and the method comprises the steps: building a non-isothermal model of an HCNG network and a thermodynamic model of a DHN network according to the dynamic characteristics of the flowing of an internal medium of an energy network in the integrated energy system, so as to construct a dynamic model of the integrated energy system, therefore, the interaction flexibility margin between the energy networks in the integrated energy system is determined; using the interaction flexibility margin to construct a day-ahead and real-time two-stage scheduling model of the integrated energy system; and optimizing the decision process of the scheduling model by adopting a depth deterministic strategy gradient algorithm to obtain an optimized scheduling result. According to the method, the day-ahead and real-time two-stage scheduling model of the integrated energy system can be constructed based on the non-isothermal model of the HCNG network, so that the reliability of the scheduling model is improved, and the scheduling operation problem under the condition of no uncertain priori knowledge is solved.

The application discloses a kind of gas distribution device intelligent start-up method and system, belong to industrial process automation control technical field.The method includes: obtaining production demand and generating preset control data;Obtain the current operating parameters of gas distribution device, and execute abnormal detection analysis with preset monitoring threshold, if potential risk is identified, intervention suggestion is generated and process control parameters are dynamically corrected;According to the corrected process control parameters and the preset process control parameters, corresponding rules in the start-up expert knowledge base are combined, propane column start-up instruction is generated and propane column is controlled to carry out material output;When it is monitored that the output material of propane column is qualified, ethane column and propylene column start-up instruction is generated, and ethane column and propylene column are controlled to carry out material output according to the start-up instruction of ethane column and propylene column.The application not only improves the stability and safety of initial start-up, improves the scientificity and accuracy of control strategy, improves the overall linkage efficiency of device;And reduce human intervention.

The application provides a two-stage MPC control method and system for power smoothing output, and relates to the field of new energy control. A discrete state space prediction model is constructed; all state variables are obtained in the current sampling period and used as the input of the first-stage MPC control; the mechanical and electrical state prediction sequence and the optimal control input are obtained by combining the constraint condition and the dynamic optimization objective function of the second-stage MPC control feedback in the last sampling period; in the second-stage MPC control, the optimal power trajectory meeting the smoothing requirement is obtained by combining the smoothing optimization objective function, and is mapped to the control constraint interval of the next sampling period and fed back to the first-stage MPC control; the optimal control input is applied to the execution equipment, and after the constraint condition is fed back to the first-stage MPC control, the next sampling period is entered. The application can inhibit the rapid fluctuation of the generated power without energy storage devices, improve the grid connection quality, and enable the renewable energy power generation system to still stably output under the severe changes of the external environment.

The invention relates to the technical field of middleware, and provides an XA-based transaction coordination method and device, and the method comprises the steps: registering a transaction branch when a global transaction manager declares that a global transaction starts; wherein the transaction branches comprise a java branch transaction and a C language transaction branch; calling a first service program of the java branch transaction through the client, and operating the first database through the jdbc through the first service program; requesting transaction middleware from the C language transaction branch through the client to call a client business program, and operating a second database through the client business program; receiving execution information of the transaction branch through the client, determining a return result, and returning the return result to the client; wherein the return result comprises a submission operation or a rollback operation.

The present application relates to the technical field of battery cooling, and discloses an adaptive dual-mode immersed liquid cooling system based on acoustic-heat flow collaborative sensing. The system comprises an acoustic sensor, a temperature sensor, a fuzzy controller, a multi-channel controller, a pump, a cooling coil, a radiator and a water tank. The system can perform single phase change cooling operation in a low rate mode and flow phase change collaborative cooling operation in a high rate mode, and mode switching decisions are made based on frequency domain changes of acoustic characteristics and calculated values of heat flow density. The acoustic sensor collects boiling acoustic wave signals of the cooling liquid, the temperature sensor monitors the battery temperature gradient, the fuzzy controller generates control instructions based on the above signals, and the multi-channel controller controls the pump power, the cooling coil flow and the radiator power. Through collaborative sensing and dual-mode adaptive adjustment, the system improves the cooling efficiency and response speed, adapts to different battery load states, and ensures the safe and stable operation of the battery.

The invention provides a new energy unit transient stability optimization method and system based on active feed-forward, and belongs to the field of new energy power generation. The system includes a current command generator and a current controller. The method comprises the steps of collecting terminal voltage and current of a unit, calculating active power and detecting a transient fault; when a fault is detected, generating an active current instruction through active feed-forward control based on power grid voltage information obtained by an active power signal, a fault voltage amplitude signal and phase locking; meanwhile, a reactive current instruction is generated; a current reference instruction is synthesized, and a converter is driven through closed-loop control to provide power support. According to the method, an active feed-forward mechanism is introduced, so that the new energy unit can respond to the power shortage of the power grid in advance, active and reactive support is quickly provided, frequency drop and power oscillation in the transient process are effectively inhibited, and the transient stability of the power system under the access of high-proportion new energy is remarkably improved.

The invention discloses a combined flexible dredging system and a construction method thereof, and belongs to the technical field of underwater foundation bed construction. Comprising a traction platform, a movable platform floating on the water surface, a lifting mechanism installed on the movable platform, a desilting device connected with the lifting mechanism and a traction device, and the lifting mechanism controls the desilting device to move up and down; the traction device comprises two traction mechanisms, each traction mechanism comprises a flexible connecting piece, the two traction mechanisms are arranged on the traction platform and located on the left side and the right side of the movable platform respectively, the two flexible connecting pieces are connected with the left end and the right end of the movable platform respectively, and the flexible connecting pieces can stretch out and draw back in the left-right direction. The problems that in the existing desilting technology, a desilting device is connected with a desilting ship, due to the fact that the size of the desilting ship is large and wide, when the desilting ship is subjected to adverse weather conditions such as stormy waves, the desilting ship is prone to heeling, a large height difference is generated between one side of the desilting ship and the other side of the desilting ship, and the desilting effect is poor are solved. The efficiency and the stability of the dredging operation are further influenced.

The invention discloses a home-based care health assessment dynamic service orchestration method and system based on a large language model, and the method comprises the steps: (1) receiving a natural language health assessment request inputted by a user, and generating a structured task description tetrad through a large language model; (2) the task description tetrad is combined with a Prompt template to be input into a large language model, and an abstract evaluation plan is generated; (3) finding out a candidate service list meeting conditions in the service semantic knowledge base according to the service type required by each step in the abstract evaluation plan, and dynamically binding each step to an optimal main agent service provider and an optimal standby agent service provider; (4) deeply participating in an agent cooperation mechanism through a large language model; and (5) converting the bound task assembly line into a standard BPMN workflow, and driving an intelligent agent to orderly execute services through a workflow engine. According to the invention, the big language model is deeply integrated into the whole process of agent collaboration, and real dynamic intelligent service orchestration is realized.

The invention discloses an annual hydropower and electric quantity distribution method and system considering monthly coordination, and relates to the field of medium and long term power and electric quantity balance analysis, and the method comprises the steps: obtaining wind power historical output curve information, considering the probability distribution characteristics of wind power output, solving upper and lower limit output values in a confidence interval, establishing an annual hydropower and electric quantity distribution model considering monthly coordination, and outputting a monthly decomposition result of hydropower and electric quantity; and carrying out statistics on the output condition at each moment, and calculating the renewable energy consumption condition. According to the method, the monthly coordination constraint of the reservoir is considered, and the monthly coordination effect of water resources all the year round is achieved; the mode that monthly loads in an existing annual electric power and electric quantity balance model are represented by single typical daily loads is adopted, and large-scale redundancy calculation in the whole time period is avoided while it is guaranteed that the result has a good application effect. And the result of the wind power output probabilistic model is fused into the hydroelectric power decomposition model, so that the adaptability of the hydroelectric power decomposition scheme to the new energy power system is improved.